November 2023

Starting today, SageMaker Studio offers a suite of IDEs, including Code Editor based on Code-OSS Visual Studio Code Open Source, improved and faster JupyterLab, and RStudio. ML practitioners can choose their preferred IDE to accelerate ML development, for example, a data scientist could use JupyterLab and training jobs in Studio to explore data and tune models, while an MLOPs engineer could choose the Code Editor and the pipelines tool in Studio to deploy and monitor models in production. Your IDE will open in a separate tab allowing users to work with a full screen experience. Additionally, users can now view their training jobs, including jobs they may have scheduled from notebooks and training jobs they may have initiated from JumpStart. We are also excited to announce a new interactive experience in SageMaker Studio to deploy models with optimal configurations in as little as three clicks. Users can also now monitor and manage their endpoints in Studio without having to navigate to AWS Console. SageMaker Studio comes with an improved JumpStart experience. It is now easy to discover, import, fine tune and deploy a foundational model with just a few clicks.

Today, Amazon Web Services, Inc. launches the general availability of Application Composer in VS Code, available as part of the AWS Toolkit. You can use AWS Application Composer’s drag-and-drop interface to create an application design from scratch or import an existing application definition to edit it. 

Amazon SageMaker Studio is a single web-based interface with comprehensive machine learning (ML) tools and a choice of fully managed integrated development environments (IDEs) to perform every step of ML development, from preparing data to building, training, deploying, and managing ML models. Amazon EFS is a simple, serverless, set-and-forget, elastic file system that makes it easy to set up, scale, and cost-optimize file storage in the AWS Cloud. Today, we are excited to announce a new capability that allows you to bring you own EFS volume to access your large ML datasets or shared code from IDEs such as JupyterLab and Code Editor in SageMaker Studio.

Today, AWS announces the general availability of myApplications, a new experience in the AWS Management Console that makes it easier to manage and monitor the cost, health, security posture, and performance of your applications. Now, you can create your applications more easily and see your applications in an AWS account from one view in the AWS Management Console. With an at-a-glance view of key application metrics such as cost, performance, and security findings, you can debug operational issues and optimize your applications. You can also act on specific application resources with one click from the application dashboard using the corresponding AWS services, such as AWS Cost Explorer for cost, AWS Security Hub for security findings, and Amazon CloudWatch Application Signals for application performance.

Today, AWS announces the general availability of a new integrated development environment (IDE) option in Amazon SageMaker Studio: Code Editor, based on Code-OSS (Visual Studio Code – Open Source). You can now boost your analytics and machine learning (ML) teams’ productivity by using the lightweight and powerful IDE with its familiar shortcuts and terminal as well as its advanced debugging capabilities and refactoring tools.

Today, we are excited to announce a new onboarding and administration experience that makes it easy to setup and manage Amazon SageMaker domains. The setup and onboarding flow on console has been redesigned from the ground up to provide a friendlier one click experience for individual users and a step-by-step guide for Enterprise ML Administrators (Admins). 

Amazon SageMaker Studio offers fully integrated development environments (IDEs) for machine learning (ML). In July 2023, we launched Amazon SageMaker Distribution, a collection of docker images which includes the most popular libraries for ML on Amazon SageMaker Studio and Amazon Studio Lab. Today, we are extending the support for Amazon SageMaker Distribution on two popular IDEs used by data scientists and ML developers - Code Editor, based on Visual Studio Code Open Source (Code-OSS), and JupyterLab available on Amazon SageMaker Studio.

Amazon SageMaker Studio is a single web-based interface with comprehensive machine learning (ML) tools and a choice of fully managed integrated development environments (IDEs) to perform every step of ML development, from preparing data to building, training, deploying, and managing ML models. Today, we are excited to announce a new and faster fully managed JupyterLab offering, the latest web-based IDE for notebooks, code, and data.

Built on best practices from operating thousands of applications at Amazon, Amazon CloudWatch Application Signals (Preview) is a new capability that makes it easy to automatically instrument and operate applications on AWS. You can track application performance against your most important business objectives without the undifferentiated heavy lifting of manual instrumentation, metrics computations, and correlating observed problem to root cause. CloudWatch Application Signals provides standardized metrics such as volume, latency, and errors for each of your applications with pre built dashboards. In as few as three clicks, you can spot anomalies, drill into the most important metrics, and identify the root cause of issues with correlated metrics logs and traces. 

Amazon Inspector now integrates with leading developer tools like Jenkins and TeamCity for container image assessments. This integration allows developers to assess their container images for software vulnerabilities within their Continuous Integration and Continuous Delivery (CI/CD) tools, pushing security earlier in the software development lifecycle. Assessment findings are conveniently available within the CI/CD tool’s dashboard, allowing developers to take automated actions in response to critical security issues, such as blocking builds or image pushes to container registries. You can use this feature by simply installing the Amazon Inspector plugin from your CI/CD tool marketplace and adding a step for Amazon Inspector scan in your build pipeline without needing to activate the Amazon Inspector service, provided you have an active AWS account. This feature works with CI/CD tools hosted anywhere, in AWS, on-premises, or hybrid clouds, providing consistency for developers to use a single solution across all their development pipelines.

Today, AWS Fault Injection Service (FIS) announces the availability of two new scenarios, AZ Availability: Power Interruption and Cross-Region: Connectivity. The AZ Availability: Power Interruption scenario allows you to determine how a multi-AZ application will operate while experiencing the expected symptoms of a complete power interruption in a single AZ. The Cross-Region: Connectivity scenario helps you determine that a multi-Region application will operate as expected when the application cannot access resources in another Region. 

Amazon Route 53 Application Recovery Controller now offers zonal autoshift, a feature that you can enable to safely and automatically shift your application’s traffic away from an AWS Availability Zone (AZ) when AWS identifies a potential failure affecting that AZ. For failures such as power and networking outages, zonal autoshift improves the availability of your application by shifting your application traffic away from an affected AZ to healthy AZs.

Anthropic’s Claude 2.1 foundation model is now generally available in Amazon Bedrock. Claude 2.1 delivers key capabilities for enterprises, such as an industry-leading 200,000 token context window (2x the context of Claude 2.0), reduced rates of hallucination, improved accuracy over long documents, system prompts, and a beta tool use feature for function calling and workflow orchestration. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Anthropic, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

Today, Amazon SageMaker Clarify announces a new capability to support foundation model (FM) evaluations. AWS customers can compare, and select FMs based on metrics such as accuracy, robustness, bias, and toxicity, in minutes.

AWS Partner CRM Connector now provides a modular experience allowing partners to enable both AWS Marketplace and AWS Partner Central ACE Pipeline Manager feature capabilities. The AWS Marketplace feature can be utilized to publish and manage AWS Marketplace private offers and resale authorizations. The ACE Pipeline Manager feature supports a newly enhanced opportunity management data model for AWS Partner co-sell motions with AWS. You can now utilize a dashboard feature of the AWS Partner CRM connector to view a summary of AWS Marketplace private offers. The AWS Partner CRM Connector enables you to centralize your sales operations in Salesforce so field sales representatives can create and publish AWS Marketplace private offers themselves with the permissions you give them, all within familiar tooling.

Today, AWS announces the availability of AWS Solution Building Enablement. This release provides AWS Partners prescriptive steps and self-serve assets to build and validate industry solutions across all business models.

Stability AI’s Stable Diffusion XL 1.0 (SDXL 1.0) foundation model is now generally available on-demand in Amazon Bedrock. SDXL 1.0 is the most advanced development in the Stable Diffusion text-to-image suite of models launched by Stability AI. The model generates images of high quality in virtually any art style and it excels at photorealism. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Stability AI, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

You can now access Meta’s Llama 2 model 70B in Amazon Bedrock. The Llama 2 70B model now joins the already available Llama 2 13B model in Amazon Bedrock. Llama 2 models are next generation large language models (LLMs) provided by Meta. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Meta, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

AWS Clean Rooms ML (Preview) helps you and your partners apply privacy-enhancing ML to generate predictive insights without having to share raw data with each other. The capability's first model is specialized to help companies create lookalike segments. With AWS Clean Rooms ML lookalike modeling, you can train your own custom model using your data, and invite your partners to bring a small sample of their records to a collaboration to generate an expanded set of similar records while protecting you and your partner’s underlying data. Healthcare modeling will be available in the coming months.

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined metrics such as accuracy, robustness, and toxicity. For subjective or custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own datasets. 

We are excited to announce new capabilities on Amazon SageMaker which help customers reduce model deployment costs by 50% on average and achieve 20% lower inference latency on average. Customers can deploy multiple models to the same instance to better utilize the underlying accelerators. SageMaker actively monitors instances that are processing inference requests and intelligently routes requests based on which instances are available.

We are excited to announce new tools and improvements that enable customers to reduce the time from days to hours to deploy machine learning (ML) models including foundation models (FMs) on Amazon SageMaker for Inference at scale . This includes a new Python SDK library that simplifies the process of packaging and deploying a ML model on SageMaker from seven steps to one with an option to do local inference. Further, Amazon SageMaker is offering new interactive UI experiences in Amazon SageMaker Studio that will help customers quickly deploy their trained ML model or FMs using performant and cost-optimized configurations in as few as three clicks.

We are excited to announce new AWS AI Service Cards, a resource to increase transparency and help customers better understand our AWS AI services, including how to use them in a responsible way. AI service cards are a form of responsible AI documentation that provides customers with a single place to find information on the intended use cases and limitations, responsible AI design choices, and best deployment and operation best practices for our AI Services. They are part of a comprehensive development process we undertake to build our services in a responsible way with fairness, explainability, veracity and robustness, governance, transparency, privacy andsecurity, safety, and controllability.

Today, we’re excited to announce the preview of a new smart sifting capability of Amazon SageMaker that automatically inspects and evaluates training data on-the-fly to selectively learn from only the most informative data samples, reducing model training time and cost by up to 35%. You can get started with smart data sifting in minutes without making changes to your existing data pipelines or training scripts.

Amazon OpenSearch Service introduces OR1, the OpenSearch Optimized Instance family, that delivers up to 30% price-performance improvement over existing instances in internal benchmarks and uses Amazon S3 to provide 11 9s of durability. The new OR1 instances are best suited for indexing-heavy workloads, and offers better indexing performance compared to the existing memory optimized instances available on OpenSearch Service. 

Today, AWS announces the general availability of Amazon SageMaker HyperPod, which reduces time to train foundation models (FMs) by up to 40% by providing purpose-built infrastructure for distributed training at scale. 

We are excited to announce the launch of the Amazon Elastic Kubernetes (EKS) Ready Specialization designed to highlight APN Partners who have demonstrated technical proficiency in providing solutions on running Kubernetes on Amazon Web Services (AWS), on-premises, and the edge with Amazon EKS and Amazon EKS-Anywhere (EKS-A). 

We are excited to announce the launch of the AWS Resilience Competency to highlight AWS Partners who have demonstrated technical expertise and proven customer success helping customers improve the availability and resilience of their critical workloads in the cloud. AWS Resilience Competency Partners provide professional consulting and engineering services that are validated by AWS experts across three categories: Resilience Design, Resilience Operations, and Resilience Recovery. Partners with solutions validated by AWS in all three categories receive the Core Resilience designation, and are distinguished as providing the most comprehensive resilience services. AWS Resilience Competency Partners provide essential technical capabilities to help customers architect, develop, test, monitor, operate, and protect workloads in the cloud to achieve the utmost system uptime and availability needs. 

We are thrilled to announce the new AWS Cyber Insurance Competency, which makes it easy for customers to find affordable insurance policies from AWS Partners that integrate their security posture assessment through a new, simplified customer experience with AWS Security Hub. With AWS Cyber Insurance Competency Partners, AWS customers can receive cyber insurance pricing estimates, purchase plans, and be confident they have the coverage for security and recovery services when needed most. 

Today, AWS announces the general availability of SaaS Quick Launch, a new deployment option for software-as-a-service (SaaS) products in AWS Marketplace. SaaS Quick Launch enables customers to reduce the time and resources required to configure and launch third-party SaaS products on AWS. 

We are excited to introduce the AWS Built-in Competency to highlight partner software solutions with AWS built-in, including new infrastructure as code (IaC) that integrates automatically with AWS foundational services to help customers achieve their long-term goals in the cloud. AWS Built-in software uses a well-architected Modular Code Repository (MCR) designed to add value to partner software solutions. AWS Built-in Competency Partner solutions leverage key building blocks called Cloud Foundational Services across multiple domains such as identity, security, and operations. 

Amazon Redshift now supports metadata security that enables administrators to restrict the visibility on their catalog data based on user roles and permissions. Users can now see only the metadata for databases, schema, and tables/views that they have access to. It enables customers to deploy multi-tenant applications on a provisioned cluster or Serverless namespace. 

Amazon OpenSearch Service zero-ETL integration with Amazon S3, a new way for customers to query operational logs in Amazon S3 and S3-based data lakes without needing to switch between tools to analyze operational data, is available for customer preview. Customers can boost the performance of their queries and build fast-loading dashboards using the built-in query acceleration capabilities of Amazon OpenSearch Service zero-ETL integration with Amazon S3.

Amazon Redshift introduces Amazon Q generative SQL in Amazon Redshift Query Editor, an out-of-the-box web-based SQL editor for Redshift, to simplify query authoring and increase your productivity by allowing you to express queries in natural language and receive SQL code recommendations. Furthermore, it allows you to get insights faster without extensive knowledge of your organization’s complex database metadata.

Today, we are excited to announce the general availability of a simplified developer experience for Amazon SageMaker Pipelines. The improved Python SDK enables you to build Machine Learning (ML) workflows quickly with familiar Python syntax. Key features of the SDK include a new Python decorator (@step) for custom steps, a Notebook Jobs step type, and a workflow scheduler.

Amazon MemoryDB for Redis now supports vector search in preview, a new capability that enables you to store, index, and search vectors. MemoryDB is a database that combines in-memory performance with multi-AZ durability. With vector search for MemoryDB, you can develop real-time machine learning (ML) and generative AI applications with the highest performance demands using the popular, open-source Redis API. Vector search for MemoryDB supports storing millions of vectors, with single-digit millisecond query and update response times, and tens of thousands queries per second (QPS) at greater than 99% recall. You can generate vector embeddings using AI/ML services like Amazon Bedrock and SageMaker, and store them within MemoryDB.

Amazon SageMaker Canvas is a no-code tool to build ML models and generate machine learning (ML) predictions. As announced on October 5, customers can access and evaluate foundation models (FMs) from Amazon Bedrock and SageMaker JumpStart to generate and summarize content. 

AWS Marketplace now provides new APIs for sellers, enabling independent software vendors (ISVs) and Channel Partners to build workflow integrations with AWS Marketplace for their AMI, SaaS, and Container products. With Catalog API, sellers can manage (create, update, and read) product listings, offers, and resale authorizations. With Agreements API, sellers can search and read agreements. Sellers can use the APIs to automate complex, high-volume, and business-critical transactions in AWS Marketplace, helping them save time and costs.

Today, AWS announces the general availability of vector engine for Amazon OpenSearch Serverless. Vector engine for OpenSearch Serverless is a simple, scalable, and high-performing vector database which makes it easier for developers to build machine learning (ML)–augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure. Developers can rely on the vector engine's cost-efficient, secure, and mature serverless platform to seamlessly transition from application prototyping to production. 

Amazon DocumentDB (with MongoDB compatibility) now supports vector search, a new capability that enables you to store, index, and search millions of vectors with millisecond response times. Vectors are numerical representations of unstructured data, such as text, created from machine learning (ML) models that help capture the semantic meaning of the underlying data. Vector search for Amazon DocumentDB can store vectors from Amazon Bedrock, Amazon SageMaker, and more. There are no upfront commitments or additional costs to use vector search, and you only pay for the data you store and compute resources you use. 

Today, AWS announces the preview release of AWS Clean Rooms Differential Privacy, a new capability that helps you protect the privacy of your users with mathematically-backed and intuitive controls in a few clicks. As a fully managed capability, no prior differential privacy experience is needed to help you prevent the re-identification of your users. 

Today, AWS announces the general availability of Amazon Neptune Analytics, a new analytics database engine. Neptune Analytics makes it faster for data scientists and application developers to get insights and find trends by analyzing graph data with tens of billions of connections in seconds. Neptune Analytics adds to existing Neptune tools and services such as Amazon Neptune Database, Amazon Neptune ML, and visualization tools. Neptune is a fast, reliable, and fully managed graph database service for building and running applications with highly connected datasets, such as knowledge graphs, fraud graphs, identity graphs, and security graphs. With Neptune Analytics, you can find insights in graph data up to 80x faster by analyzing your existing Neptune graph database or graph data from a data lake such as Amazon S3.

Amazon Titan Multimodal Embeddings helps customers power more accurate and contextually relevant multimodal search, recommendation, and personalization experiences for end users. You can now access the Amazon Titan Multimodal Embeddings foundation model in Amazon Bedrock.

Amazon SageMaker Canvas now supports natural language instructions for data exploration, visualization, and preparation to build machine learning (ML) models. Amazon SageMaker Canvas is a no-code tool that enables customers to easily create highly accurate ML models without writing a line of code. Starting today, you can use FM-powered natural language instructions enabled by Amazon Bedrock for data preparation. This new capability enables you to interact with your data, ask questions, visualize feature distribution and correlations, and transform data to the right structure for your business problems, using natural language queries.

Amazon Titan Text Express and Amazon Titan Text Lite are large language models (LLMs) that help customers improve productivity and efficiency for an extensive range of text-related tasks, and offer price and performance options that are optimized for your needs. You can now access these Amazon Titan Text foundation models in Amazon Bedrock, which helps you easily build and scale generative AI applications with new text generation capabilities.

Amazon Redshift announces CONJUNCTION TYPE support for row-level security (RLS) policies and RLS support on standard views and late binding views, which enables you to apply granular access controls and ensure that users can only access rows that they are authorized to see, even when the underlying data evolves or user permissions change. 

Today, Amazon Redshift announces the general availability of support for Apache Iceberg tables. Now, you can easily access your Apache Iceberg tables on your data lake and join it with the data in your data warehouse. This capability offers increased performance whether you are accessing your data lake tables using auto-mounted AWS Glue catalog or external schemas. 

Amazon SageMaker notebook jobs allows data scientists to run their notebooks on demand or on a schedule with a few clicks on Amazon SageMaker Studio, a web-based IDE for machine learning (ML). Today, we’re excited to announce that you can programmatically run notebooks as jobs using APIs provided by SageMaker Pipelines, SageMaker's ML workflow orchestration service. Furthermore, you can create a multi-step ML workflow with multiple dependent notebooks using these APIs.

Today, Amazon Redshift announces enhanced manageability and monitoring for features for Amazon Redshift Serverless, including cross-account cross-VPC, custom domain name(CNAME), snapshot scheduling, cross-region copy (CRC), improved visibility for serverless billing in the Redshift console, and version tracking. These features provide you with seamless data access, robust data protection, and cost-effective operations.

You can now use Amazon Bedrock to process prompts in batch to get responses for model evaluation, experimentation, and offline processing.

You can now accelerate data processing and analysis with Apache Spark applications by up to 4.0x than data in S3 Standard using Amazon EMR and the Amazon S3 Express One Zone storage class. S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent, single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications.

Amazon Q, a generative AI–powered assistant that is specifically designed for work and can be tailored to your business, is available in Amazon Connect. Amazon Q in Connect delivers real-time recommendations that help contact center agents resolve customer issues quickly and accurately, helping improve both agent productivity and customer satisfaction. This generative AI assistant, which includes functionality formerly available as Amazon Connect Wisdom, can help agents detect customer intent during calls and chats using conversational analytics and natural language understanding (NLU), then provides agents with generated responses and suggested actions, along with links to relevant documents and articles. For example, Amazon Q can help detect that a customer is contacting a rental car company to change their reservation, generate a response for the agent to quickly communicate how the company’s change fee policies apply to this customer, and guide the agent through the steps they need to update the reservation. In addition to receiving recommendations, agents can also query Amazon Q using natural language or keywords to answer customer requests. Amazon Q is built into the Amazon Connect agent workspace and is available via API for your own agent desktop.

Starting today, new memory optimized Amazon Elastic Compute Cloud (Amazon EC2) R8g instances, powered by the latest-generation custom-designed AWS Graviton4 processors, are available in preview. R8g instances are built on the AWS Nitro System, a collection of hardware and software innovations designed by AWS. The AWS Nitro System enables the delivery of efficient, flexible, and secure cloud services with isolated multitenancy, private networking, and fast local storage. R8g instances offer larger instances with up to 3x more vCPUs and memory than R7g instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics.

Amazon Connect now provides a no-code UI builder enabled within the drag-and-drop workflow designer that lets you create and manage the UI shown to agents in step-by-step guides. With this capability you can design a guide that presents what the agent should review or do inside the Amazon Connect agent workspace at any moment during a customer interaction.

Amazon Aurora zero-ETL integration with Amazon Redshift enables near real-time analytics and machine learning (ML) using Amazon Redshift on petabytes of transactional data from Amazon Aurora. Amazon Aurora PostgreSQL-Compatible Edition database clusters can now be used (in public preview) as a source for zero-ETL integrations. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift. You don’t have to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations.

Amazon Connect Contact Lens now provides real-time conversational analytics for Amazon Connect Chat, extending the machine learning-powered post-contact analytics (e.g., sentiment analysis, automated contact categorization, etc.) to real-time contact scenarios. These capabilities enable contact center managers to detect customer issues during in-progress chat contacts, and help them resolve customer issues faster. For example, managers can now get a real-time email alert when customer sentiment for a chat contact turns negative, allowing them to join the in-progress contact and help resolve the customer issue.

Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service provides customers advanced search capabilities, such as full-text and vector search, on their Amazon DynamoDB data. With a few button clicks in the AWS console, customers can now seamlessly synchronize their data from Amazon DynamoDB to Amazon OpenSearch Service, eliminating the need to write any custom code to extract, transform, and load the data. Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service is now available for both Amazon OpenSearch Service managed clusters and serverless collections.

Amazon Bedrock is an easy way to build and scale generative AI applications with leading foundation models (FMs). Amazon Bedrock now supports fine-tuning for Meta Llama 2 and Cohere Command Light, along with Amazon Titan Text Lite and Amazon Titan Text Express FMs, so you can use labeled datasets to increase model accuracy for particular tasks.

Amazon Connect now provides in-app and web voice and video calling capabilities, making it easier to deliver more personalized voice and video experiences in your websites and mobile applications. These voice and video capabilities allow customers to contact you without having to leave your website or mobile application. You can use these capabilities to pass contextual information to Amazon Connect, enabling you to personalize the customer experience based on attributes such as the customer’s profile, authentication status, or actions previously taken within the app.

Amazon Relational Database Service (Amazon RDS) for MySQL zero-ETL integration with Amazon Redshift allows you to access transactional data from Amazon RDS for MySQL to run analytics and machine learning (ML) on petabytes of data in Amazon Redshift. With the zero-ETL integration, you don’t need to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations. The Amazon RDS for MySQL zero-ETL integration with Amazon Redshift is now available in public preview for Amazon Redshift Serverless and Amazon Redshift RA3 instance types.

Amazon Bedrock provides you with an easy way to build and scale generative AI applications with leading foundation models (FMs). Continued pre-training in Amazon Bedrock is a new capability that allows you to train Amazon Titan Text Express and Amazon Titan Text Lite FMs and customize them using your own unlabeled data, in a secure and managed environment. As models are continually pre-trained on data spanning different topics, genres, and contexts over time, they become more robust and learn to handle out-of-domain data better by accumulating wider knowledge and adaptability, creating even more value for your organization.

You can now use Mountpoint for Amazon S3 to access objects stored in the new Amazon S3 Express One Zone storage class using file system operations. The new S3 Express One Zone storage class is purpose-built to deliver the fastest cloud object storage for performance-critical applications that demand consistent single-digit millisecond request latency.

Today, Amazon QuickSight announces three new natural language capabilities enabled by Amazon Q for business users. Launching in preview, these capabilities can summarize dashboards, generate mini dashboards to answer data questions, and build stories explaining data.

Starting today, you can use Amazon Athena to query data stored in the Amazon S3 Express One Zone storage class for up to 2.1x faster query performance than S3 Standard. S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent, single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications.

Today, we are excited to announce the availability of Amazon Q's feature development capability in preview, in Amazon CodeCatalyst. With this new capability, developers can assign a CodeCatalyst issue to Amazon Q, and Q performs the heavy lifting of converting a human prompt to an actionable plan, then completes code changes and a pull request that is assigned to the requester. Q will then monitor any associated workflows and attempt to correct any issues. The user can preview code changes and merge the pull request. Development teams can utilize this new capability as an end-to-end, streamlined experience within Amazon CodeCatalyst, without having to enter the IDE.

Today, AWS announces a range of capabilities in preview in Amazon Q to supercharge work for developers and IT professionals and provide expert assistance when building, deploying, and operating applications and workloads on AWS. Amazon Q is a generative AI-powered assistant that can be tailored to your business, code, data, and operations.

Today, AWS announces Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be tailored to your business to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories, code, and enterprise systems. 

The Amazon S3 Express One Zone storage class is purpose-built to deliver the fastest cloud object storage for performance-critical applications that demand consistent single-digit millisecond request latency. S3 Express One Zone can improve data access speeds by 10x and reduce request costs by 50% compared to S3 Standard. It enables workloads such as machine learning training, interactive analytics, and media content creation to achieve single-digit millisecond data access speed with high durability and availability.

Amazon DynamoDB now supports zero-ETL integration with Amazon Redshift, enabling customers to run high performance analytics on their DynamoDB data. This zero-ETL integration has no impact on production workloads running on DynamoDB. As data is written into a DynamoDB table, it is seamlessly made available in Amazon Redshift, eliminating the need for customers to build and maintain complex data pipelines for performing extract, transform, and load (ETL) operations.

Amazon Connect announces a preview of analytics data lake, a Zero ETL analytics capability that empowers organizations to access the insights needed to understand and optimize key contact center performance metrics (e.g., customer satisfaction) via a unified data source and their choice of Business Intelligence (BI) tool. With the analytics data lake, records are de-duped and ready to query; eliminating the need to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations to access Amazon Connect data to get it ready for analytics, and artificial intelligence (AI) workloads.

Now generally available, fully managed Agents for Amazon Bedrock enables generative AI applications to execute multi-step tasks across company systems and data sources. Agents can plan and perform business tasks, such as answering questions about product availability or taking orders. Customers can create an agent in just a few clicks by writing a few instructions in natural language, providing access to the company’s systems, and defining AWS Lambda functions. Agents analyze the user request and break it down into a logical sequence using the FM’s reasoning capabilities to determine what information is needed, the APIs to call, and the sequence of execution to fulfill the request. After creating the plan, Agents call the right APIs and retrieve the information needed from company systems and data sources to provide accurate and relevant responses. Agents automatically perform this process in the background—securely by encrypting data in transit and at rest—each time. This relinquishes customers from having to engineer prompts, train models, or manually connect systems. With Agents for Amazon Bedrock, customers can easily integrate generative AI into their businesses, simplifying and accelerating how they perform and execute tasks without the undifferentiated heavy lifting.

Today, we are announcing Guardrails for Amazon Bedrock in preview that enables customers to implement safeguards across foundation models (FMs) based on their use cases and responsible AI policies. Customers can create multiple guardrails tailored to different use cases and apply them across multiple FMs, providing a consistent user experience and standardizing safety controls across generative AI applications.

Today, Amazon Web Services, Inc. (AWS) announced that Amazon Q can help you select Amazon EC2 instances. Amazon Q uses machine learning to help customers take quick and cost-effective decisions for their compute instance type before building their workloads. Amazon Q generates personalized EC2 instance suggestions for customers using the AWS Management Console or AWS documentation site. Its natural language interface provides an easy way for customers to communicate their requirements and get the best-matched instances.

We are excited to announce the public preview of Amazon Q in AWS Chatbot, which provides summarized and concise answers to customers’ AWS-related queries in a conversational experience in Microsoft Teams and Slack. Customers receive concise and trustworthy answers to their questions to accelerate their understanding of the AWS services, architect solutions, and troubleshoot issues.

Amazon Web Services (AWS) is announcing the public preview of Amazon Q in the AWS Console Mobile Application. AWS customers using the AWS Console Mobile App for Android can now use Amazon Q, the generative AI assistant in the AWS Console Mobile App to ask questions about AWS services, and receive concise, reliable answers in a mobile-friendly user interface with voice input and output capabilities.

Amazon Connect Customer Profiles now provides a generative AI powered customer data mapping capability that significantly reduces the time needed to create unified profiles, enabling companies to help provide more personalized customer experiences faster. 

Now generally available, fully managed Knowledge Bases for Amazon Bedrock securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, context-specific, and accurate responses. Knowledge bases extend the FM’s powerful capabilities to make it more knowledgeable about your business, customers, and offerings.

Amazon Connect now supports two-way Short Messaging Service (SMS) capabilities, making it easy for you to resolve customer issues via text messaging. SMS offers a ubiquitous and convenient channel for customers to get help, while enabling you to deliver personalized experiences at a lower cost.

Amazon Connect Contact Lens now provides generative AI powered post-contact summarization, enabling contact center managers to more efficiently monitor and help improve contact quality and agent performance. 

Amazon Titan Image Generator enables content creators with rapid ideation and iteration resulting in high efficiency image generation. You can now access the Amazon Titan Image Generator foundation model in Amazon Bedrock in preview, which helps you easily build and scale generative AI applications with new image generation and image editing capabilities.

Today, AWS announces the preview of a new generative AI-based capability in Amazon DataZone to improve data discovery, data understanding and data usage by enriching the business data catalog. With a single click, data producers can generate comprehensive business data descriptions and context, highlight impactful columns, and include recommendations on analytical use cases.

Today, Amazon Web Services Inc. (AWS) announces new metadata enrichment for findings aggregated in AWS Security Hub that allow you to better contextualize, prioritize, and take action on your security findings. This enrichment adds resource tags, a new AWS application tag, and account name information to every finding ingested into Security Hub, including findings from AWS security services such as Amazon GuardDuty, Amazon Inspector, and AWS IAM Access Analyzer, as well as a large and growing list of AWS Partner Network (APN) solutions.

Starting today, the AWS Command Line Interface (AWS CLI) and Python SDK automatically use the AWS Common Runtime (CRT) to accelerate data transfer between Amazon S3 and Amazon EC2 Trn1, P4d, and P5 instances. The AWS CRT implements Amazon S3's performance best practices for request parallelization, automatic retry, DNS load balancing, and more to deliver high data transfer rates between Amazon EC2 and Amazon S3. As a result, machine learning training jobs now download training data from Amazon S3 up to 3x faster and upload model checkpoints to Amazon S3 up to 5x faster, which accelerates total training times.

AWS Mainframe Modernization is now available with NTT DATA UniKix technology for replatforming and running mainframe applications on the AWS Cloud. The new capability broadens the replatform provider choices available to customers for mainframe application modernization.

Amazon EFS Replication now supports failback, making it easier and more cost-effective to synchronize changes between EFS file systems after Disaster Recovery (DR) and other failover events.

Today, Amazon Web Services (AWS) announces an expanded portfolio of proactive benefits for AWS Partners that leverage the extensive cloud expertise of AWS Support. Participating partners will enhance their customers’ experience using new tools and receive the benefit of scalable pricing, and will have the opportunity to showcase Backed by AWS Support to help customers easily identify partners who offer AWS Partner-Led Support.

Today, AWS Backup announces the general availability of restore testing, a new capability within AWS Backup that helps perform automated and periodic restore tests of supported AWS resources that have been backed up. AWS Backup is a fully managed service that centralizes and automates data protection across AWS services and hybrid workloads. With this launch, AWS Backup customers can test recovery readiness to prepare for possible data loss events and to measure duration times for restore jobs to satisfy compliance or regulatory requirements.

AWS Glue Data Catalog now supports the creation, management, and access control of SQL views that support multiple engines. Customers can create SQL views in AWS Glue Data Catalog and query them from SQL engines including Amazon Athena, Amazon Redshift, and Spark with Amazon EMR on EC2.

Today, AWS announces the general availability of AWS B2B Data Interchange, a fully managed service for automating the transformation of Electronic Data Interchange (EDI) documents into common data representations such as JSON and XML at scale and with pay-as-you-go pricing. Customers across verticals such as manufacturing, retail, healthcare, and more can now reduce the time, complexity, and cost associated with preparing and integrating EDI data into their business applications and purpose-built data lakes.

Amazon Redshift now supports incremental refresh for materialized views on Apache Iceberg and standard AWS Glue tables, eliminating the need for full-refreshes which require the re-execution of the underlying select statements and re-writing the data in the materialized view.

Today, AWS announces Amazon Aurora Limitless Database, which enables you to scale your Amazon Aurora clusters to millions of write transactions per second and manage petabytes of data. With this new capability, you can scale your relational database workloads on Aurora beyond the limits of a single Aurora writer instance without needing to create custom application logic or manage multiple databases.

Amazon Braket launches Braket Direct, a new program expanding how you can explore quantum computing on AWS, accelerating research and innovation. You can now reserve dedicated capacity on various quantum devices, engage directly with quantum computing specialists, and have early access to next-generation capabilities, including the latest trapped-ion device from IonQ, Forte — publicly available for the first time on AWS.

Today, Amazon Web Services Inc. (AWS) announces new data visualizations, filtering and customization enhancements to the AWS Security Hub dashboard, allowing you to more easily focus on risks that require your attention.

Today, AWS announces the general availability of AWS HealthScribe, a HIPAA eligible, generative AI-powered service designed to help healthcare application builders automatically create preliminary clinical documentation from patient-clinician conversations. With AWS HealthScribe, you can integrate speech recognition and generative AI, specifically trained to assist with healthcare industry documentation, into your application to help accelerate clinical documentation and enhance the consultation experience. AWS HealthScribe makes it easier and faster for healthcare software providers to include generative AI capabilities without the need to manage the underlying machine learning (ML) infrastructure or train their own healthcare-specific large language models (LLMs).

Today, Amazon SageMaker launched a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Container (DLC), with support for NVIDIA’s TensorRT-LLM Library. With these upgrades, customers can easily access state-of-the-art tooling to optimize Large Language Models (LLMs) on SageMaker. Amazon SageMaker LMI TensorRT-LLM DLC reduces latency by 33% on average and improves throughput by 60% on average for Llama2-70B, Falcon-40B and CodeLlama-34B models, compared to previous version.

Virtual SPARC environments are now available on the AWS Cloud. With this new capability, customers can migrate and rehost applications running on legacy SPARC systems. The lift-and-shift migration of applications from SPARC machines to virtual SPARC-compatible execution environments on the AWS Cloud enables sunsetting of legacy hardware without any change to the applications, and with minimal recertification or retraining. Once on the AWS Cloud, the applications can benefit from elastic on-demand resources with flexible pay-as-you-go pricing. Such rehosting of applications on virtual SPARC environments can help accelerate modernization timelines, reduce operating costs, and improve resilience.

AWS Application Composer now integrates AWS Step Functions Workflow Studio, making it easier for developers to visually design workflows, connect services, and develop applications using a single visual Infrastructure as Code (IaC) builder. With AWS Application Composer, you can focus on the high-level architecture of your application with deployment-ready infrastructure as code definitions being automatically composed.

Today, AWS announces the support of multi-account experiments for AWS Fault Injection Service (FIS). This feature allows you to set up and run real-world failure scenarios on an application which spans multiple AWS accounts using a single FIS experiment. You can centrally configure, monitor, and review an experiment that targets resources in multiple accounts. 

Amazon Redshift data lake analytics supports querying nested data in Parquet, ORC, JSON, and Ion file formats. You can now apply AWS Lake Formation FGAC to your nested data, and query with Amazon Redshift data lake analytics. By using DDM in Amazon Redshift, you can protect sensitive data in your data warehouse. you can apply DDM policies to scalar attributes in SUPER data type columns, your SUPER data will be masked based on the masking function defined in masking policies, you can use the full path of SUPER object as input path, and the full path of SUPER object as output path.

Amazon Simple Queue Service (SQS) announces an increased quota for a high throughput mode for FIFO queues, allowing you to process up to 70,000 transactions per second per API action in US East (N. Virginia), US West (Oregon), and Europe (Ireland) regions. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Amazon SQS offers two types of queues, standard and FIFO. FIFO queues process messages only once, in the exact order that they are sent. Now, customers using high throughput mode FIFO queues can send and receive messages at a higher rate.

Today, AWS announces support for custom blueprints in Amazon CodeCatalyst, giving teams the ability to define best practices for application code, workflows, and infrastructure. Customers can publish custom blueprints to their CodeCatalyst space and use them to create CodeCatalyst projects, or use a blueprint to apply standards to existing CodeCatalyst projects. CodeCatalyst custom blueprints are available to all Enterprise tier spaces.

Amazon Redshift announces Multidimensional Data Layouts, a new powerful table sorting mechanism that improves performance of repetitive queries. Unlike traditional sorting methods that sort data based on one or more table columns, Multidimensional Data Layouts sorts data based on the incoming query filters (for example: Sales in a specific region) , which significantly accelerates the performance of table scans. An AWS internal benchmark test shows that MDDL produced a 74% total runtime reduction compared to having no sort key, and a 40% total runtime reduction compared to the best single-column sort key.

Today, Amazon Redshift Serverless introduces a preview of the next generation of artificial intelligence (AI)–driven scaling and optimization in cloud data warehousing. Amazon Redshift Serverless uses AI techniques to scale automatically with workload changes across all key dimensions—such as data volume changes, concurrent users, and query complexity—to meet and maintain your price performance targets.  Internal tests demonstrate that these optimizations can give you up to 10x better price performance for variable workloads without manual intervention.

Today, AWS announces the general availability of Amazon ElastiCache Serverless, a new serverless option for Amazon ElastiCache that simplifies cache management and instantly scales to support the most demanding applications. With ElastiCache Serverless, you can create a highly available and scalable cache in less than a minute, eliminating the need to plan for, provision, and manage cache cluster capacity. ElastiCache Serverless automatically stores data redundantly across multiple Availability Zones (AZs) and provides a 99.99% availability Service Level Agreement (SLA). With ElastiCache Serverless, you pay for data stored and compute consumed by your workload, with no upfront commitments or additional costs.

AWS Control Tower is excited to announce 65 new AWS-managed controls and enhanced Region deny capabilities to help you meet your digital sovereignty requirements. With this release, you can discover 245+ controls under a new digital sovereignty group in the AWS Control Tower console. You can use these controls to help prevent actions, enforce configurations, and detect resource changes for data residency, granular access restriction, encryption, and resiliency capabilities. 

Today, AWS announces the general availability of Amazon Relational Database Service (Amazon RDS) for Db2, which makes it easy to set up, operate, and scale Db2 databases in the cloud. Amazon RDS manages time-consuming database administration tasks, such as provisioning, patching, backups, recovery, failure detection, and repair, so you can focus on applications and business.

AWS AppSync is a fully managed service that allows customers to connect applications to data and events. With AppSync GraphQL APIs, customers can create an API that connects to multiple data sources like microservice APIs, relational databases, and NoSQL databases. Applications can then retrieve data from different sources with a single efficient request.

Today, AWS announces the general availability of the AWS SDK for Kotlin, allowing customers to use this for production workloads. 

We are excited to announce public availability of AWS Mainframe Modernization Data Replication with Precisely for IBM i. The capability, already available to mainframe augmentation customers, is now also available for midrange systems including IBM i, iSeries, System i, or AS/400. It leverages data replication offered by Precisely to enable near real-time replication of midrange data to the AWS Cloud with support for heterogeneous source and target databases. It builds resilient high-performance data pipelines that replicate data changes via Change Data Capture (CDC) from midrange data stores to AWS database services like Amazon Aurora and Amazon RDS. As a result, businesses can modernize and augment midrange applications by offloading data processing, building new business functions or channels, and driving business insights and intelligence with analytics, Machine Learning (ML) and Artificial Intelligence (AI) on the AWS Cloud to speed modernization and deliver cost savings, agility, and innovation.

With the new Mountpoint for Amazon S3 Container Storage Interface (CSI) driver, your Kubernetes applications can access S3 objects through a file system interface, achieving high aggregate throughput without any changes to your application. Built on Mountpoint for Amazon S3, the CSI driver presents an S3 bucket as a volume accessible by containers in Amazon Elastic Kubernetes Service (Amazon EKS) and self-managed Kubernetes clusters. As a result, distributed machine learning training jobs in Amazon EKS and self-managed Kubernetes clusters can read data from Amazon S3 at high throughput to accelerate training times.

Today, AWS announces new capabilities in AWS Security Hub that allow security teams to centrally enable and configure Security Hub standards and controls across accounts and Regions in just a few steps. This enhancement is designed to streamline and simplify how you set up and administer Security Hub in your multi-account, multi-Region organizations. You can now use Security Hub central configuration to address gaps in your security coverage by creating security policies with your desired standards and controls and applying them in selected Regions across accounts and Organizational Units (OUs). 

Today, AWS Elastic Disaster Recovery (AWS DRS) announces general availability in the AWS GovCloud (US) Regions. This launch gives customers in both the public and commercial sectors, as well as their partners, access to AWS DRS capabilities in the AWS GovCloud (US) Regions.

AWS Elastic Disaster Recovery (AWS DRS) now allows you to automate validations when launching EC2 instances for recovery and drills. This saves you time used to perform tedious manual verifications, as AWS DRS empowers you to define custom automated validations tailored to your specific needs. Also, you can leverage the convenience of pre-defined validations such as volume free space detection and network connectivity verification, providing you with the tools to conduct thorough drills to ensure robust and resilient production environments.

Today, AWS announces the Amazon CodeCatalyst Enterprise Tier, a new pricing tier with enhanced features such as custom blueprints and project lifecycle management. The new CodeCatalyst Enterprise Tier increases compute minutes and storage with additional users to ensure your projects scale seamlessly with the size of your developer team.

Today, AWS AppFabric announced a new feature, AWS AppFabric for productivity, that reimagines end-user productivity in software-as-a-service (SaaS) applications by generating insights and actions with context from multiple applications. AWS AppFabric is a service that connects multiple SaaS applications to enhance security and increase productivity. Since its launch, IT professionals can use AppFabric to automatically normalize application logs from 19 different SaaS applications for improved SaaS observability across their application stack. 

Today, Amazon Simple Queue Service (SQS) announces support for dead-letter queue redrive for FIFO queues. Dead-letter queue redrive is an enhanced capability to improve the dead-letter queue management experience for Amazon SQS customers. Amazon SQS already supports redriving messages from a standard dead-letter queue to a standard source queues or a standard custom destination queue. Now SQS customers can also redrive messages from a FIFO dead-letter queue to FIFO source queues or FIFO custom destination queues. 

Today, Amazon Web Services, Inc. (AWS) announces the general availability of AWS Countdown, a service that enables successful migrations, modernizations, streaming, and go-live events. AWS Countdown helps you throughout the project lifecycle to assess operational readiness, identify and mitigate risks, and offers proven playbooks developed by AWS experts.

Today, AWS Backup announces support for EBS Snapshots Archive, allowing customers to automatically move EBS Snapshots created by AWS Backup to EBS Snapshots Archive. EBS Snapshots Archive is low-cost, long-term storage tier meant for your rarely-accessed snapshots that do not need frequent or fast retrieval, allowing you to save up to 75% on storage cost. 

Today we announce Amazon One Enterprise, a palm-based identity service for enterprise access control. The service enables organizations to provide a fast, convenient, and contactless experience for employees and authorized users to gain access to physical locations as well as digital assets such as restricted software resources. Amazon One Enterprise eliminates operational overhead associated with the management of traditional enterprise authentication methods, like badges and PINs. IT and security administrators can easily install the Amazon One devices and manage users, devices, and software updates in the AWS Management console. 

AWS Graviton3-based M7g instances are now generally available for use with new provisioned Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters. MSK provisioned clusters running on M7g instances deliver up to 24% price/ performance improvement, up to 29% higher write and read throughput, and up to 27% reduction in CPU usage over comparable MSK clusters running on M5 instances. 

Today, AWS announces the general availability of the AWS SDK for Rust, allowing customers to now use this for production workloads. The AWS SDK for Rust empowers developers to interact with AWS services and enjoy APIs that follow Rust idioms and best practices. 

We are excited to announce public availability of AWS Mainframe Modernization File Transfer with BMC. This capability relies on BMC’s mainframe data set transfer technology to discover, transfer, and convert mainframe data sets for use on the AWS Cloud.

Today, we are excited to announce a public preview of AWS Mainframe Modernization Application Testing, an AWS Mainframe Modernization service feature that automates functional equivalence testing of mainframe applications being modernized with the AWS cloud. This new feature provides cloud-native testing capabilities including test capture, on-demand automated test replays, comparisons, and regression testing at scale. Available as a part of AWS Mainframe Modernization service console, the Application Testing feature is designed to offer a simplified testing experience that is highly scalable across a wide range of mainframe testing use cases, with support for parallel test runs and visualization of testing results.

Amazon Inspector now offers continuous monitoring of your Amazon EC2 instances for software vulnerabilities without installing an agent or additional software. Currently, Amazon Inspector leverages the widely deployed AWS Systems Manager (SSM) Agent to assess your EC2 instances for third-party software vulnerabilities. With this new capability, you can expand your vulnerability assessment coverage across your EC2 infrastructure with Amazon Inspector agentless scanning for EC2 instances that do not have SSM Agents installed or configured. For agentless scanning, Amazon Inspector takes snapshots of EBS volumes to collect software application inventory from the instances to perform vulnerability assessments. Once you enable EC2 scanning within Amazon Inspector, it automatically discovers all your EC2 instances and starts evaluating them for software vulnerabilities. Customers can enable agentless scanning by simply visiting the EC2 settings page within the Amazon Inspector console and selecting hybrid scan mode. In hybrid scan mode, Amazon Inspector relies on SSM Agents to collect information from instances to perform vulnerability assessments, and automatically switches to agentless scanning for instances that do not have SSM Agents installed or configured. 

Amazon S3 Access Grants map identities in directories such as Active Directory, or AWS Identity and Access Management (IAM) Principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end-users based on their corporate identity. Additionally, S3 Access Grants log end-user identity and the application used to access S3 data in AWS CloudTrail. This helps to provide a detailed audit history down to the end-user identity for all access to the data in your S3 buckets.

Amazon Web Services announces Amazon EC2 U7i, next-generation High Memory instances. U7i instances offer up to 32TiB of DDR5 memory enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids) delivering up to 125% more compute performance over existing U-1 instances.

Amazon Personalize is excited to announce the new Next-Best-Action recipe to help you recommend actions that your users have a high probability to take in real-time. Expanding beyond the items or content that Personalize has allowed customers to recommend, this new recipe assists you in determining the next best actions to suggest to your individual users that will help in increasing brand loyalty and conversion. Similar to other Amazon Personalize recipes, Next Best Action does not require ML expertise and allows you to integrate personalization seamlessly into your applications.

We are excited to announce the preview of generative AI-powered call summarization in Amazon Transcribe Call Analytics to boost contact center agent and manager productivity, and improve customer experience. Powered by Amazon Bedrock, generative call summarization delivers a concise summary of a contact center interaction that captures key components such as why the customer called, how the issue was addressed, and what follow-up actions were identified.

Today, AWS announces the preview launch of Amazon GuardDuty EC2 Runtime Monitoring, an expansion of Amazon GuardDuty that introduces runtime threat detection for Amazon Elastic Compute Cloud (Amazon EC2) workloads.

Amazon CloudWatch now supports data querying from multiple sources, enabling you to gain visibility across your hybrid and multicloud metrics in a single view. With this feature, you can consolidate and visualize metrics from sources such as Amazon OpenSearch Service, Amazon Managed Service for Prometheus, Azure Monitor, your own custom data sources, and query those metrics in real time, increasing visibility into your application health and helping you resolve critical events faster.

Starting today, FreeRTOS roadmap is published on freertos.org and GitHub. With this update, you can transparently access information on specific FreeRTOS features and have a consolidated view of upcoming, ongoing, and shipped FreeRTOS projects to plan your projects accordingly. In addition, you can track the status of your requested FreeRTOS features or the projects you have volunteered to work on.

Today, AWS announces the preview of AWS IoT SiteWise Edge on Siemens Industrial Edge to help simplify, accelerate, and reduce the cost of sending industrial equipment data to the AWS cloud. This new offering allows customers to start ingesting industrial equipment data from a variety of industrial protocols into the cloud faster using Siemens Industrial Edge Devices already connected to machines, removing layers of configuration and accelerating time to value.

AWS Systems Manager Automation enables you to automate routine operations tasks using runbooks. Starting today, developers can author and edit runbooks using a low-code visual design experience. Simply drag and drop Automation actions and AWS APIs onto a canvas and connect them together as steps to visualize your runbook logic. The visual design experience pre-populates parameters and validates actions in real time so you can build with confidence and efficiency.

Application Load Balancer (ALB) now supports Mutual TLS enabling you to authenticate clients while establishing TLS encrypted connections.

Starting today, customers can deploy the Cost and Usage Dashboard powered by Amazon QuickSight directly from AWS Billing and Cost Management console. The Cost and Usage Dashboard is backed by a summary view of the AWS Cost and Usage Report (CUR), and it enables interactive analysis and secure sharing of cost insights with a broader stakeholder group who may not have access to AWS console.

Today at AWS re:Invent, Amazon Web Services Inc. (AWS) announced support for customer-specific inputs in AWS Security Hub controls that allow you to customize your security posture monitoring in AWS. Security Hub is a cloud security posture management (CSPM) service with hundreds of managed and automated controls that allow you to monitor your cloud resources and ensure they are configured securely. The new enhancements allow security teams to refine the best practices monitored by Security Hub controls to meet more specific security expectations.

AWS Step Functions announces support for HTTPS endpoints, so you can now integrate with virtually any SaaS application directly from your workflows. In addition, AWS Step Functions launches a new TestState API to test a single step in your workflow, that helps accelerate development so you can deploy new features fast.

Today, Amazon EKS introduces EKS Pod Identity, a new feature that simplifies how cluster administrators can configure Kubernetes applications to obtain AWS IAM permissions. These permissions can now be easily configured with fewer steps directly through EKS console, APIs, and CLI. EKS Pod Identity makes it easy to use an IAM role across multiple clusters and simplifies policy management by enabling the reuse of permission policies across IAM roles.

AWS Config announces the launch of periodic recording to track resource configuration changes more efficiently at scale. This launch extends AWS Config’s existing recording capabilities, which continuously track every change as it occurs. Periodic recording captures the latest configuration changes of your resources once every 24 hours, reducing the number of changes delivered. Both continuous and periodic recording options are priced based on the number of configurations items.

AWS Config introduces a new natural language querying feature powered by generative AI, which simplifies the investigation and search of AWS resource configurations and compliance metadata. Now, you can ask questions in plain language such as "display all EC2 instances with the security group sg-ef678hk" or "show me all non-compliant S3 buckets in my organization." AWS Config will generate the equivalent advanced query written in SQL syntax, which customers can then run as-is, or fine-tune for even more granularity.

Amazon CloudWatch announces (in preview) natural language query generation powered by generative AI for Logs Insights and Metrics Insights. This feature enables you to easily and quickly generate queries in context of your logs and metrics data using plain language. By simplifying the query generation process, you can accelerate insights from your observability data without needing extensive knowledge of the query language.

AWS Secrets Manager now supports a single API call to identify and retrieve a group of secrets for your application. The new API, BatchGetSecretValue, offers greater simplicity to common developer workflows where you need to bring multiple secrets into your application. With this feature, you no longer have to make iterative calls to retrieve one secret at a time or account for partial failures when pulling multiple secrets, enhancing the overall efficiency.

We are excited to announce Amazon Managed Service for Prometheus collector, a fully-managed agentless collector customers can use to collect Prometheus metrics from their workloads running on Amazon EKS. Customers can now enable the discovery and collection of Prometheus metrics from their Amazon EKS applications and infrastructure through the EKS console or through an API call, without having to self-manage agents.

Amazon Inspector code scanning for AWS Lambda functions now includes assisted code remediation using generative artificial intelligence (AI) and automated reasoning. Amazon Inspector code remediation for Lambda function provides in-context code patches for multiples classes of vulnerabilities detected during security scans for AWS Lambda function. It extends the Amazon Inspector capabilities to assess custom proprietary Lambda code for security issues like injection flaws, data leaks, weak cryptography, or missing encryption based on AWS security best practices. Upon discovering vulnerabilities, Amazon Inspector provides actionable security findings, including affected code snippets and remediation suggestions. As part of supported findings, Amazon Inspector provides code patches associated with the vulnerabilities, simplifying the process of updating vulnerable code.

Amazon FSx for NetApp ONTAP, a service that provides fully-managed shared storage built on NetApp’s popular ONTAP file system, now allows you to create, manage, and back up FlexGroup volumes using the AWS Management Console, FSx CLI, and AWS SDK, making it even easier to manage and protect your data at-scale.

AWS Identity and Access Manager (IAM) Access Analyzer now provides custom policy checks to validate that IAM policies adhere to your security standards ahead of deployments. Custom policy checks use the power of automated reasoning—security assurance backed by mathematic proof— to help security teams proactively detect nonconformant updates to policies. For example, IAM policy changes that are more permissive than their previous version. Security teams can use these checks to streamline their reviews, automatically approving policies that conform with their security standards, and inspecting more deeply when they don't. This new kind of validation provides you higher security assurance in the cloud. 

Amazon Redshift enhances Redshift ML to support large language models (LLM). Amazon Redshift ML enables customers to create, train, and deploy machine learning models using familiar SQL commands. Now, you can leverage pretrained publicly available LLMs in Amazon SageMaker JumpStart as part of Redshift ML, allowing you to bring the power of LLMs to analytics. For example, you can make inferences on your product feedback data in Amazon Redshift, use LLMs to summarize feedback, perform entity extraction, sentiment analysis and product feedback classification.

Today, we are excited to announce Amazon Transcribe’s next generation, multi-billion parameter speech foundation model-powered system that expands automatic speech recognition (ASR) to over 100 languages. Amazon Transcribe is a fully managed ASR service that makes it easy for customers to add speech-to-text capabilities to their applications. Our speech foundation model is trained using best-in-class self-supervised algorithms to learn the inherent universal patterns of human speech across languages and accents.

Amazon Redshift now supports multi-data warehouse writes through data sharing in public preview. You can start writing to Redshift databases from multiple Redshift data warehouses in just a few clicks. The written data is available to all warehouses as soon as it is committed. This allows teams to flexibly scale compute by adding warehouses of different types and sizes based on their write workloads’ price-performance needs, isolate compute to more easily meet SLAs, and easily and securely collaborate with other teams.

Today, AWS announces the preview of vision system data from AWS IoT FleetWise, a service that lets automotive companies efficiently collect vehicle data and organize it in the cloud. With this new feature, you can easily collect and organize data from vehicle vision systems that include cameras, radars, and lidars. It keeps both structured and unstructured vision system data, metadata (event ID, campaign, vehicle), and standard sensor (telemetry data) automatically synchronized in the cloud, making it easier to assemble a full picture view of events and gain insights.

Starting today, you can create FSx for ONTAP scale-out file systems that deliver up to 36 GB/s of throughput and 1.2 million IOPS—9x higher performance than before. FSx for ONTAP is the first and only storage service that allows you to launch and run fully managed, fully-featured ONTAP file systems in the cloud. This allows you to migrate or extend your workloads that rely on ONTAP’s widely used data management features to AWS without having to modify your applications, tools, processes, or workflows. Now, you can leverage ONTAP’s data management features for an even broader range of high-performance workloads on AWS.

Amazon Redshift provisioned cluster concurrency scaling and serverless autoscaling now supports CREATE TABLE AS SELECT (CTAS) queries. This allows customers to scale their extract, transform, and load (ETL) and other write workloads with additional compute to more easily meet their SLAs.

Amazon Personalize is excited to announce Content Generator, a new generative AI powered capability that makes recommendations more compelling by identifying thematic connections between recommended items. Content Generator will assist customers in crafting taglines to create a more engaging browsing experience.

Today, AWS announces the general availability of AWS re:Post Private, a fully managed, secure knowledge service for enterprises to accelerate cloud adoption and improve developer productivity. Using re:Post Private, enterprises can create their own private version of AWS re:Post to collaborate with their company and with AWS. This allows you to streamline collaboration and knowledge sharing within your cloud community through secure community discussion and helps you build reusable knowledge specific to your organization. With re:Post Private, you can up-level builder skills and onboard new team members faster with curated training and technical content from AWS and centralized, scalable knowledge resources. Customers with Enterprise Support and Enterprise On-Ramp Support plans can subscribe to this service.

Amazon Monitron is an end-to-end system that uses machine learning to detect abnormal conditions in industrial equipment to enable predictive maintenance. Amazon Monitron includes wireless sensors to capture vibration and temperature data; gateways to automatically transfer data to the AWS Cloud; the Amazon Monitron service that analyzes the data for abnormal machine patterns using ML, and a companion mobile app to set up the devices and receive reports on operating behavior and alerts to potential failures in machinery.

AWS Identity and Access Manager (IAM) Access Analyzer now simplifies inspecting unused access to guide you toward least privilege. IAM Access Analyzer continuously analyzes your accounts to identify unused access and creates a centralized dashboard with findings. Security teams can use the dashboard to review findings centrally and prioritize which accounts to review based on the volume of findings. The findings highlight unused roles, unused access keys for IAM users, and unused passwords for IAM users. For active IAM roles and users, the findings provide visibility into unused services and actions.

Amazon EFS now supports up to 250,000 read IOPS and up to 50,000 write IOPS per file system, making it easier to power IOPS-intensive file workloads on AWS.

Amazon Detective now supports security investigations for threats detected by Amazon GuardDuty Elastic Container Service (ECS) Runtime Monitoring. Amazon Detective now provides enhanced visualizations and additional context for detections on ECS. You can use the new runtime threat detections from GuardDuty and the investigative capabilities from Detective to improve your detection and response for potential threats to your container workloads.

Amazon EventBridge now supports partner integrations with Adobe I/O events and Stripe, enabling you to route events from these platforms to over 20 AWS services making it easier to build event-driven architectures for handling payments, invoices, ordering, and much more. By leveraging these integrations you can increase developer agility by spending less time writing integration code and build features faster that combine best-in-class Software-as-a-Service (SaaS) capabilities with AWS services.  

AWS Analytics services, including Amazon QuickSight, Amazon Redshift, Amazon EMR, AWS Lake Formation, and Amazon S3 via S3 Access Grants, now use trusted identity propagation with AWS IAM Identity Center to manage and audit access to data and resources based on user identity. This new capability passes identity information between connected business intelligence and data analytics applications. Administrators define access to their service based on a common set of users and groups in the customer’s chosen identity provider. Auditors can track users’ access across services. Analytics users benefit from an improved single sign-on experience when accessing data.

Today we are announcing customizable EC2 rightsizing recommendations within AWS Compute Optimizer. With this launch you can now adjust both CPU headroom and thresholds, configure a new 32-day lookback period option, and set instance family preferences. These settings can be configured at the organization, account, or regional level.

Amazon EFS Archive is a new storage class that is cost-optimized for long-lived file data that is accessed a few times a year or less. With EFS Archive, you now have a cost-effective way to retain even your coldest data so that it’s always available to power new business insights. In addition, as part of this launch, the storage price for the existing Amazon EFS Infrequent Access (IA) storage class is being reduced by 36% to make EFS an even better solution for sharing a wide range of data.

Application Load Balancer (ALB) now supports Automatic Target Weights (ATW), which uses a new routing algorithm to optimize the amount of traffic sent to each target based on information available to the load balancer. With this initial launch, ALB will adjust the amount of traffic sent to each target based on implicit health information, like 5XX errors and connection errors.

AWS Control Tower customers can now programmatically set up and manage their landing zones. Customers can discover, create, update, and reset their landing zones, as well as manage landing zone customizations, using APIs. A landing zone is a well-architected, multi-account AWS environment based on security and compliance best practices. AWS Control Tower automates the setup of a new landing zone using best-practices blueprints for identity, federated access, logging, and account structure. The landing zone APIs include AWS CloudFormation support, allowing customers to manage their landing zone with infrastructure as code (IaC).

Starting today, customers can create exports of their billing and cost management data with custom column selections and row filters using a SQL interface. Exports are delivered on a recurring basis to an Amazon S3 bucket for use with business intelligence or data analytics solutions. Customers can use Data Exports with the new Cost and Usage Report (CUR 2.0) table, which contains the same information as the pre-existing Cost and Usage Report, but with two new columns, a queryable nested data structure, and a fixed schema.

Starting today, customers can now access their AWS Free Tier usage through the AWS SDK, command line, and 3rd party tools at no cost. Using this API, customers can programmatically track free tier usage against monthly usage limits, which allows customers to understand when their free usage will transition to pay-as-you-go pricing each month. This helps avoid unintended charges by comparing forecasted usage to the free tier limit for each service throughout the month. The AWS Free Tier allows customers to explore more than 100 AWS products by offering free usage each month.

Today, AWS announces the preview release of Amazon Managed Blockchain (AMB) Access Polygon. Access Polygon will help developers seamlessly interact with the Polygon blockchain, a high-throughput, low fees, EVM-compatible blockchain, so they can build scalable applications quickly and securely. AMB Access Polygon provides serverless access to archive nodes for Polygon Proof of stake (PoS) Mainnet and Mumbai Testnet.

Today, AWS announces the general availability of a suite of machine-learning powered log analytics capabilities in CloudWatch, including automated log pattern analysis and anomaly detection. Using these new capabilities, you will be able to easily interpret your logs, identify unusual events, and use these insights to steer and accelerate your investigation.

Today, AWS announces Amazon GuardDuty ECS Runtime Monitoring, an expansion of Amazon GuardDuty that introduces runtime threat detection for Amazon Elastic Container Service (Amazon ECS) workloads—including serverless container workloads running on AWS Fargate. 

Today, AWS announces the general availability of Amazon WorkSpaces Thin Client, a low-cost end-user device that helps organizations reduce overall virtual desktop costs, strengthen security posture, and simplify end-user deployment. 

Amazon FSx for NetApp ONTAP now enables you to create Multi-AZ file systems in Shared VPCs from participant accounts, making it even easier for your organization to decentralize how you administer network and storage resources.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. By leveraging foundation models (FMs) to enhance its natural language understanding capabilities, Lex can now resolve slot values in user utterances with greater accuracy. The Assisted Slot Resolution feature uses the advanced reasoning capabilities of FMs to improve accuracy and ultimately a better customer experience.

Amazon Detective now provides finding group summaries using generative artificial intelligence (AI) that automatically analyzes finding groups and provides insights in natural language to help you accelerate security investigations. Amazon Detective finding groups allows you to examine multiple activities related to potential security events. For example, you can analyze the root cause of high-severity Amazon GuardDuty findings using Detective finding groups. With Detective finding group summaries, you can more quickly locate and review key insights on suspicious activity identified in finding groups in natural language, making it easier to investigate and understand unusual or suspicious activities. 

ENA Express now supports 58 new instance types ranging from 16 to 192 vCPUs. With this launch, ENA Express is adding support for 20 new memory optimized instances, 15 new compute optimized instances, 15 new general purpose instances, and 8 new storage instances. Before today, ENA Express supported only the largest instance size, totaling 27 instances as small as 64 vCPUs.  

Amazon Detective now supports the ability to automatically investigate AWS Identity and Access Management (IAM) entities for indicators of compromise (IoC). This new capability helps security analysts determine whether IAM entities have potentially been compromised or involved in any known tactics, techniques, and procedures (TTP) from the MITRE ATT&CK framework.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. Amazon Lex leverages Generative AI to accelerate bot building by automatically generating a bot from a user's prompt. Simply provide a description in natural language to generate a starting point which can be further refined.

AWS CloudFormation now supports Git sync, enabling customers to synchronize their stacks from a CloudFormation template stored in a remote Git repository. A CloudFormation template describes your desired resources and their dependencies so you can launch and configure them together as a stack. 

Starting today, AWS CloudTrail Lake data is now available for zero-ETL analysis in Amazon Athena. You can use Athena to query your activity logs in CloudTrail Lake without the operational complexity of moving data or building data processing pipelines. CloudTrail Lake is a managed data lake that lets you aggregate, immutably store, and analyze activity logs for audit, security, and operational investigations. Athena is an interactive query service that makes it simple to analyze data in Amazon S3 and other data stores using SQL. Using Athena, security engineers can now correlate activity logs in CloudTrail Lake with application and traffic logs in data stores such as S3 for security incident investigations. Compliance and operation engineers can now visualize activity logs in CloudTrail Lake with Amazon QuickSight and Amazon Managed Grafana for compliance, cost, and usage reporting.

Today, AWS Well-Architected (AWS WA) announces the general availability of the Lens Catalog in the AWS Well-Architected Tool (AWS WA Tool). The Lens Catalog is a new, central lens repository for customers looking to explore, review, and implement the latest cloud best practices available from AWS.

Amazon WorkSpaces Multi-Region Resilience adds cross-region one-way data replication to standby WorkSpaces to help provide improved business continuity for your WorkSpaces users. You can enable data replication for your standby WorkSpaces, and root and user volume data will automatically replicate from your primary WorkSpaces to your standby WorkSpaces.

Amazon Detective now integrates with Amazon Security Lake, enabling security analysts to query and retrieve logs stored in Security Lake. You can use this integration to get additional information from AWS CloudTrail logs and Amazon Virtual Private Cloud (Amazon VPC) Flow Logs stored in Security Lake while conducting security investigations in Detective.

Today, AWS announces new updates to Amazon CodeWhisperer, including support for Infrastructure as Code (IaC), AI-powered code remediation, and expanded language support for security scanning, all generally available. CodeWhisperer is also now available in Visual Studio, in preview. These updates help to enable faster and more efficient software development by offloading undifferentiated work and delivering more automation, security, efficiency, and accelerated code delivery for customers, and provides this support in more places where developers love to work.

Today, AWS Step Functions announces an optimized integration for Amazon Bedrock, making it easier to integrate generative AI capabilities into Step Functions workflows, accelerating development of generative AI applications. This launch enables you to use Step Functions to orchestrate interactions with foundation models and add in steps for human intervention, without needing to write or maintain integration code. You can leverage Step Functions Workflow Studio to visually develop, inspect, and audit user defined generative AI workflows with ease. 

Today we are announcing Cost Optimization Hub, a new AWS Billing and Cost Management feature that helps you consolidate and prioritize cost optimization recommendations across your AWS Organizations member accounts and AWS Regions, so that you can get the most out of your AWS spend.

AWS Glue announces preview of a new Glue Data Quality capability that uses ML-powered anomaly detection algorithms to detect hard-to-find data quality issues and anomalies. This helps customers proactively identify quality issues and fix them, so that data users can make confident business decisions.

We are excited to announce Amazon CloudWatch Logs Infrequent Access (Logs IA), a new log class for cost-effectively consolidating all your logs natively on AWS, helping to improve visibility into your overall application health. CloudWatch Logs IA offers a subset of CloudWatch Logs' capabilities including managed ingestion, cross-account log analytics, and encryption with a lower per GB ingestion price making Logs IA ideal for ad-hoc querying and after-the-fact forensic analysis on infrequently accessed logs.

Today, AWS announces a unified Billing and Cost Management console that helps customers make faster, better-informed decisions and manage their AWS cloud finances more efficiently. The unified Billing and Cost Management console combines the previous Billing console and the previous Cost Management console, and features a new home page with insights and recommendations to help customers understand their spend, identify problems, and save money, along with more intuitive navigation and improved getting started resources. With this new console experience, it’s easier to decide where to focus, prioritize what’s most important, and take action.

PartyRock, an Amazon Bedrock Playground is a fun and intuitive hands-on, shareable generative AI app-building tool. Post announcement, builders made tens of thousands of AI-powered apps in a matter of days, shared on social media using single-step tools from within the playground. Today, PartyRock is announcing a new Discover page, where top community-created apps will be curated by AWS. The page will showcase what PartyRock users are building and help others to get hands-on by providing a central resource for inspiration and discovery. Here you’ll find some of the most viewed, remixed, and snapshotted apps, curated by PartyRock employees, including those they found particularly amusing, novel, or helpful for understanding key generative AI concepts. Everyone can learn to build AI apps with PartyRock, an Amazon Bedrock Playground.

We are pleased to offer a preview of the QnAIntent in Amazon Lex. The QnAIntent allows developers to securely connect foundation models (FM) to company data for Retrieval Augmented Generation (RAG). By providing access to company data, FMs generate more relevant, accurate, and contextual responses. The QnA Intent can be used with new or existing Lex bots to automate frequently asked questions (FAQs) through text and voice channels, such as Amazon Connect.

Today, Amazon Web Services, Inc. (AWS) announced AWS Console-to-Code is in preview. It is a generative AI capability that makes it simple, fast, and cost-effective to move from prototyping in the AWS Management Console to deploying production code for your workloads. Customers can now generate code for their console actions in their preferred format. The code helps customers get started and bootstrap their automation pipelines for their workloads tasks.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems. Today, we are excited to introduce utterance generation for Amazon Lex that expedites bot development by leveraging generative AI to automatically produce new training utterances.

Today, AWS announces on-demand data replication for Amazon FSx for OpenZFS, enabling you to easily and efficiently transfer incremental point-in-time snapshots of your volumes between file systems. On-demand data replication provides a simple and resilient way to replicate production data in a separate file system for development, experimentation, and analytics workloads.

OpenSearch Service 2.11 now comes with OpenSearch Neural Sparse Retrieval. Search practitioners now have an additional search method to use for their search applications with improved semantic understanding, while keeping computational cost and computational latency low, more in line with lexical search.

Amazon Kinesis Data Streams now supports resource-based policies, so you can process data ingested into a stream in one account with an AWS Lambda function in another account. Amazon Kinesis Data Streams is a serverless real-time data streaming service that can continuously capture gigabytes of data per second from hundreds of thousands of sources. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Together with Kinesis Data Streams and Lambda, you can build a completely serverless data streaming pipeline.

Mountpoint for Amazon S3 can now cache data in Amazon EC2 instance storage, instance memory, or an Amazon EBS volume for repeated data access. This avoids redundant requests to Amazon S3 when you need to read the same data multiple times, which improves both the cost and performance of your application. For example, by using Mountpoint for Amazon S3 and caching data in Amazon EC2 instance storage, you can complete your machine learning training jobs up to 2x faster by avoiding redundant requests to Amazon S3.

Today, AWS IoT SiteWise is launching multi-variate anomaly detection of industrial assets via integration of historical and real-time equipment data with Amazon Lookout for Equipment. Anomaly detection helps industrial customers quickly identify and visualize changes in equipment or operating conditions thus unlocking Predictive Maintenance use cases.

Amazon S3 Batch Operations can now manage objects within an S3 bucket, prefix, suffix, or more, in a single step. When creating an S3 Batch Operation, customers can specify the objects on which to perform the operation. Now, you have the option to instead specify an entire bucket, prefix, suffix, creation date, or storage class. Amazon S3 Batch Operations will then quickly apply the operation to all the matching objects and notify you when the job completes.

AWS IoT SiteWise now support bulk import, export, and update industrial equipment metadata. The new bulk APIs for metadata help customers to import their asset model data from diverse systems such as historians in AWS IoT SiteWise at scale.

Amazon QuickSight launched a new analysis experience, enabling a more intuitive and efficient way for authoring dashboards on QuickSight. With the new analysis experience, QuickSight is redesigning the core workflows for authors to be more intuitive, scalable, and efficient. The new analysis experience includes

• 3-pane layout that provides a clear and organized workspace for easy navigation between data, visualization building, and object properties. This includes updates to pane components, new vertically organized field wells, drag and drop fields, add/edit workflow, visual type selector redesign, and the Properties pane.
• The analysis toolbar providing access to essential authoring, editing, and pane-management functions with just a click, allowing authors to work more efficiently across the analysis experience.

The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3. PyTorch is an open source machine learning framework widely used by AWS customers to build and train machine learning models. The Amazon S3 Connector for PyTorch automatically optimizes S3 read and list requests to improve data loading and checkpoint performance for your training workloads. Saving machine learning training model checkpoints is up to 40% faster with the Amazon S3 Connector for PyTorch than saving to Amazon EC2 instance storage.

AWS IoT SiteWise now supports warm storage, a fully-managed storage tier that makes it easy for customers to securely store and access industrial data needed for analytics use cases such as business intelligence dashboards and machine learning applications. The warm storage tier allows customers to retain large amounts of historical data at near Amazon S3 cost per GB storage prices. Data stored in the warm tier is optimized for retrieval using AWS IoT SiteWise query API.

Today, we are announcing the general availability of logs in the AWS Distro for OpenTelemetry (ADOT). ADOT is a secure, production-ready, AWS supported distribution of the OpenTelemetry project. With this launch, customers can use the ADOT collector and supported OpenTelemetry SDKs (for Java, JavaScript, .NET, and Python) to collect and send logs to Amazon CloudWatch and backends supporting OpenTelemetry Protocol (OTLP) such as Amazon OpenSearch (AOS).

AWS IoT TwinMaker makes it easier to create digital twins of real-world systems such as buildings, factories and industrial equipment. We are launching three new features in entity modeling to enable customers model, deploy, and scale their digital twins faster and more efficiently.

AWS Entity Resolution is now a HIPAA eligible service, enabling healthcare and life sciences organizations to now use AWS Entity Resolution to match, link, and enhance patient records spread across multiple data stores such as electronic health records (EHRs), diagnostic laboratories, claims, insurance, and billing platforms.

AWS IoT SiteWise now supports the use of user-defined unique identifiers for asset, asset models, properties and hierarchies. This new feature allows consistency and control using identifiers for assets and asset models in AWS IoT SiteWise, especially for companies that have modeled their industrial equipment in multiple systems or AWS IoT SiteWise instances.

AWS IoT SiteWise now supports Asset model components to help industrial customers create reusable components to derive new asset models and express variations easily.

AWS CodePipeline announces the ability to start a pipeline execution with source revision overrides. Until today, a manually started pipeline execution would automatically select the “latest revision” for each source in the pipeline. The “latest revision” depended on the source action type. For example, for a CodeCommit source, the HEAD commit reference in the configured repository and branch was used, and for Amazon Elastic Container Registry (ECR) source, the latest digest of the configured image repository and tag was used. Now, when you start a pipeline execution, you can override the source revisions for the source actions in your pipeline. 

Today, we are excited to announce that Amazon CodeWhisperer is available in Amazon EMR Studio. You can use Amazon CodeWhisperer with no additional charge to generate real-time code suggestions in Amazon EMR Studio notebooks. CodeWhisperer can generate code suggestions ranging from snippets to full functions in real time based on your prompts and existing code.

We are announcing the launch of data retrieval query API (ExecuteQuery) to allow customers to access asset metadata and telemetry data for both operational and analytical use cases. With the new ExecuteQuery API customers can retrieve metadata and time-series data from asset models, assets, measurements, metrics, transforms, and aggregates using SQL-like query statements in a single API request.

Today, we are announcing the launch of a new feature in AWS IoT SiteWise that allows cost-efficient and scalable ingestion of time-series data needed for analytical use cases. Until now, customers have used AWS IoT SiteWise streaming ingestion APIs to ingest telemetry data for real-time use cases within milliseconds. With this new feature, customers can now buffer time-series data streams at the edge before ingesting to the cloud. This lowers ingestion cost for data needed in the cloud within minutes instead of milliseconds. For example, data needed for machine learning applications and BI analytics dashboards that only need to be updated every 15 minutes. The combination of the two ingestion mechanisms allows customers to configure efficient ingestion pipelines for data needed for real-time and analytical applications.

Amazon EMR is excited to announce that Amazon EMR Studio is now available in the Africa (Cape Town), Asia Pacific (Jakarta, Osaka), and Europe (Milan).

We are excited to announce the launch of the AWS Advertising and Marketing Technology (AMT) Competency designed to highlight Partners who have demonstrated technical proficiency in the AMT industry.

Amazon QuickSight is excited to announce the launch of SPICE capacity auto-purchase feature, offering an improved solution for the automatic management of SPICE capacity. Previously, customers had to manually purchase SPICE capacity, and insufficient capacity could lead to data ingestion failures, hindering the intended use of QuickSight. Now, customers can effortlessly opt in to the capacity auto-purchase with just one click. This new SPICE auto-purchase capability eliminates the need for customers to estimate usage and manually purchase SPICE capacity each time. Instead, they can seamlessly ingest data and use SPICE worry free, as QuickSight will automatically acquire the necessary capacity to meet their usage requirements. For further details, visit here.

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) I/O-Optimized, a new storage configuration for database clusters that provides improved price performance and predictable pricing for customers with I/O-intensive applications. Amazon DocumentDB I/O-Optimized offers improved performance, increasing write throughput and reducing latency for customers’ most demanding workloads. With Amazon DocumentDB I/O-Optimized, there are zero charges for read and write I/O operations—you only pay for your database instances and storage usage, making it easy to predict your database spend up front. Amazon DocumentDB I/O-Optimized offers up to 40% cost savings for I/O-intensive applications where I/O charges exceed 25% of the total Amazon DocumentDB database spend.

Amazon CloudFront announces general availability of CloudFront KeyValueStore, a global, low-latency, key value datastore. KeyValueStore allows you to retrieve key value data from within CloudFront Functions making functions more customizable by allowing independent data updates. The key value data is available across all CloudFront edge locations and provides a highly efficient, in-memory, key-value store with fast reads from within CloudFront Functions. With KeyValueStore you can now implement lookup use cases such as feature flags, A/B testing, and storing environment variables with low latency.

AWS Marketplace sellers with a Security Specialization or a Level 1 Managed Security Service Provider (MSSP) Specialization can now add these Specializations to their Vendor Insights security profiles. These are in addition to already available certifications for SOC 2 Type 2, ISO 27001, FedRAMP, PCI DSS, HIPAA, and GDPR compliance. AWS Marketplace Vendor Insights helps streamline the complex third-party software risk assessment process by enabling sellers to make security and compliance information available to buyers through AWS Marketplace. 

AWS Lake Formation now allows customers to apply permissions on subfields of their nested tables using data filters. Permissions can be granted on more granular fields such as on particular columns inside of structs. Permissions on nested fields provide customers more fine grained permissions to better match their business needs with greater flexibility to how they structure their data.

Amazon Verified Permissions now provides customers with a new visual schema editor, in addition to the existing JSON editor, in the Verified Permissions console. Customers can now visualize the relationships between the entities used to model principals, resources and actions.

Customers can now manage the lifecycle of their custom Amazon Machine Images (AMIs) and Container images created on EC2 Image Builder. Customers can save costs by deleting unused images that accumulate storage charges on AWS. You no longer have to keep track of their custom images distributed across AWS accounts and AWS regions, and manually retire them as the images become outdated. With this launch, we provide customers an automated way to identify and remove outdated images, avoiding accidental usage of those images. 

Today, we are excited to announce that Apache Flink is now generally available for Amazon EMR on EKS. With Apache Flink for Amazon EMR on EKS, customers can transform and analyze streaming data in real time with Apache Flink, an open-source framework for stateful computations over data streams. Amazon EMR on EKS is a deployment option for Amazon EMR that makes it easy for customers to run their big data applications and data lake analytics workloads on EKS. Customers already using Amazon EKS can run their Apache Flink application along with other types of applications on the same Amazon EKS cluster, helping improve resource utilization and simplify infrastructure management.

Today, we are excited to announce that Amazon EMR has made it up to 35% faster, year on year, to launch an Amazon EMR on EC2 cluster. With these improvements, majority of the customer can launch their Amazon EMR on EC2 clusters in 5 mins or less. 

Amazon S3 server access logging now supports automatic date-based partitioning for log delivery. Amazon S3 server access logging provides detailed records for requests made to your S3 buckets including object size, total time, turn-around time, HTTP referer, and more. Now, with date-based partitioning, Amazon S3 automatically generates either event time or delivery time prefixes when delivering access logs to your destination bucket, which allows services like Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum to improve performance and reduce cost when querying logs.

Amazon DocumentDB (with MongoDB compatibility) now integrates with Amazon SageMaker Canvas to enable no-code Machine learning (ML) with data stored in Amazon DocumentDB. Customers can now build ML models for regression and forecasting needs and use foundation models for content summarization and generation using data stored in Amazon DocumentDB without writing a single line of code. The new integration removes the undifferentiated heavy lifting when customers connect and access data in Amazon DocumentDB and accelerates ML development with a no-code experience.

Today, Amazon Elastic Block Store (EBS) announced that io2 Block Express volumes are available on all EC2 instances built on the Nitro system. All new io2 volumes used with EC2 Nitro instances will automatically benefit from the latest generation of EBS storage server architecture designed to deliver consistent sub-millisecond latency and 99.999% durability. With a single io2 Block Express volume, customers can achieve 256,000 IOPS, 4GB/s of throughput, and storage capacity of 64 TiB. io2 Block Express has the lowest p99.9 I/O latency and the best outlier latency control among major cloud providers, making it the ideal choice for the most I/O-intensive, mission-critical deployments of SAP HANA, Oracle, Microsoft SQL Server, and IBM DB2.

Today, AWS Amplify announces a public preview of its code-first developer experience (Gen 2), enabling developers to build full-stack apps using TypeScript. Gen 2 shifts to a code-first approach that allows developers to express app requirements - data model, business logic, authorization rules - in TypeScript. The necessary cloud infrastructure is automatically deployed based on the app code, without explicit infrastructure definitions.

Amazon QuickSight now supports event driven scaling and automation of your Business Intelligence (BI) infrastructure by sending assets events to Amazon EventBridge. By subscribing to QuickSight events in EventBridge, you can automate your workflows such as continuous deployment and backups. With EventBridge, developers can respond automatically to events in QuickSight such as a new dashboard creation or update. These events are delivered to EventBridge in near real time. Developers can write simple rules to indicate which events are of interest to them, and what actions to take when an event matches a rule. For more information, read this blog post and click here.

Amazon QuickSight now supports theming of embedded dashboards and visuals at runtime that can help you seamlessly integrate your SaaS application with Amazon QuickSight embedded dashboards and visuals. You can use the embedded SDK to synchronize the theme of your embedded content with your application, and unlock personalized and accessible options for your users. To learn more about embedded runtime theming, read this blog post and click here.

Starting today, customers can identify probable root causes of incidents in Incident Manager, a capability of AWS Systems Manager. When an alarm or event triggers an incident, Incident Manager now identifies recent AWS CloudFormation and AWS CodeDeploy deployments that included the affected resource and likely caused the incident. Incident responders will see deployment details and a direct link to the deployment, accelerating root cause diagnosis and reducing mean time to resolution (MTTR).

You can now monitor network throughput between your Outpost rack service link virtual interfaces (VIFs) and your local network devices using Amazon CloudWatch IfTrafficIn and IfTrafficOut metrics for Outposts. Outpost rack service link VIFs establish IP connectivity and BGP sessions between your Outpost and your local network devices for service link connectivity.

AWS Amplify Hosting is excited to announce the general availability of a new deployment specification that enables developers to build plugins for hosting server-side rendering (SSR) applications on Amplify. Leveraging this new feature, we have partnered with the Nuxt team to add built-in support for Nuxt SSR deployments on Amplify Hosting. This specification is available in the built-in deployment preset within the Nitro.js server that powers Nuxt, which extends support to any framework built on Nitro.js.

Amazon QuickSight now supports filtering of embedded dashboards and visuals at runtime that can help you seamlessly integrate your SaaS application with Amazon QuickSight embedded dashboards and visuals. You can use new methods in the embedded SDK to create customized filter controls in your application, apply filter presets based on data from your application, and personalize filter configurations for users. To learn more about embedded runtime filtering, read this blog post and click here.

Amazon QuickSight now supports programmatic export and import of assets permissions and tags as an update to previously launched export and import APIs. This enables you to backup and restore, continuously replicate and migrate QuickSight assets along with their permissions and tags. Previously with the earlier version of these APIs you had to populate permissions and tags separately. To learn more, click here.

Starting today, customers can run Apple macOS Sonoma (version 14) as Amazon Machine Images (AMIs) on Amazon EC2 Mac instances. macOS Sonoma is the latest major macOS version from Apple, and introduces multiple new features and performance improvements over prior macOS versions including support for running Xcode version 15.0 and later, which includes the latest SDKs for iOS, iPadOS, macOS, tvOS, watchOS, and visionOS.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now  supports major version 16, starting with PostgreSQL version 16.1. RDS for PostgreSQL 16.1 includes support for logical decoding on read replicas, logical replication from standbys, and over 90 PostgreSQL extensions such as pgactive, pgvector, pg_tle, h3-pg, pg_cron, and rdkit. PostgreSQL 16 introduces a number of performance and visibility improvements including greater query parallelism, SIMD CPU acceleration, and a ‘pg_stat_io’ view that provides statistics on I/O usage. Further, with PostgreSQL 16, developers can now use SQL/JSON constructors and identity functions.

Amazon Verified Permissions now supports batch authorization, allowing you to process up to 30 authorization decisions for a single principal or resource in a single API call. Batch authorization allows you to filter for authorized actions that a given principal can take on a resource. It also enables developers to simplify building applications where a single user action requires multiple actions to be authorized. Verified Permissions optimizes authorizing multiple requests when the principal or resource is fixed. 

Announcing general availability of two new capabilities to enhance monitoring and debugging of AWS Glue jobs: AWS Glue serverless Apache Spark UI and AWS Glue observability metrics. AWS Glue serverless Spark UI is a new capability that enables you to get detailed information about your AWS Glue Spark jobs. This launch allows you to see the details of any AWS Glue Spark job run in AWS Glue Studio. With AWS Glue serverless Spark UI, you can get information about scheduler stages, tasks, and executors. AWS Glue observability metrics provide additional insights into job reliability, performance, throughput and resource utilization. These two new capabilities enables you to debug common error classes with root cause, analyze aggregate worker performance, and monitor data skews in your Glue jobs.

You can now run OpenSearch version 2.11 in Amazon OpenSearch Service. With OpenSearch 2.11, we have made several improvements to search, observability, security analytics, and OpenSearch Dashboards. This version includes features that were launched as part of open source OpenSearch versions 2.10 and 2.11. This launch includes the introduction of hybrid search queries, which uses normalization processors to improve search relevance, by combining relevance scores of lexical queries with natural language-based k-NN vector search queries. It also includes multimodal search, which allows users to search image and text pairs like product catalog items, and the introduction of neural sparse retrieval in addition to existing dense retrieval for semantic search applications. Search practitioners can test out these new search methods with the new search comparison tool which lets you compare the results of two different search queries side by side in OpenSearch Dashboards. 

Amazon Redshift can now leverage the column-level statistics stored in AWS Glue Data Catalog to improve data lake query performance by generating optimized query plans. 

We are excited to announce that Amazon EMR on Amazon EKS is now available to customers in the AWS Asia Pacific (Osaka and Jakarta) and AWS Middle East (UAE) regions.

Amazon Athena has released new Amazon CloudWatch metrics that provide insight on the compute resources your queries use. Starting today, you can use CloudWatch to analyze, chart, and monitor the utilization of Provisioned Capacity resources which helps you make informed adjustments to capacity and optimize cost. You can also inspect query-level metrics, which now include the compute used, measured in Data Processing Units (DPU), to understand how much capacity is used by each query that you run.

We're excited to announce new capabilities for the Amazon Connect Customer Profiles Flows block that make it easier to personalize automated experiences such as IVRs using the drag and drop Flows editor. You can now access more customer information, including orders, cases, assets, custom attributes, and calculated attributes through the Flow block. For example, you can retrieve customer information such as loyalty status to route loyalty reward members to shorter queues or retrieve details about their last purchase to provide self-service refund options. Additionally, you can now streamline the authentication process by prompting customers to enter their personal identifiers such as birthdate and use the Customer Profiles block to find the right profile and instantly associate the profile with that contact without a single line of code. 

Today, AWS announced a new EC2 capability to configure idle timeouts for instance connection tracking. This will allow customers to manage their instance’s connection tracking resources and providing them the ability to configure optimal timeouts to manage connection scale. EC2 utilizes Connection Tracking (conntrack) to implement Security Groups and to enforce rules. With this new feature, idle timeouts for connections in the TCP Established, UDP stream and UDP unidirectional sessions on EC2 instances are now configurable on a per Elastic Network Interface (ENI) basis and can be edited from their default timeout settings. Prior to today, all idle connections in TCP and UDP states were tracked for a pre-defined default period or until they were closed. 

Today, AWS announces the preview of Amazon CodeWhisperer for command line. CodeWhisperer now helps developers be more productive in the command line with contextual CLI completions and AI natural-language-to-bash translation. 

AWS Glue announces a new capability that allows users to configure the detection sensitivity and actions such as partial or full redaction, and encryption, at an entity level to improve security posture along with improved data interpretability. 

Announcing List Assignment APIs for AWS IAM Identity Center, enabling you to view who has access to what AWS accounts and applications. With these APIs, you can list all AWS accounts and applications that a specific user or group can access. You can use the API response in workflows to generate periodic reports and audit your employee access to AWS, saving time and effort you previously spent on manual audits. You can programmatically inspect and verify an employee’s AWS access with these APIs, and use this information to re-certify or revoke their access.

Today, Amazon QuickSight is announcing the general availability of a native Google BigQuery connector that lets customers connect to Google BigQuery directly from Amazon QuickSight in a few simple steps. The launch provides QuickSight’s SPICE (Super-fast, Parallel, In-memory Calculation Engine) support to quickly perform analyses on large datasets.

Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS China (Beijing) region. With Amazon Redshift Serverless, all users—including data analysts, developers, and data scientists—can now use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications.

Application Load Balancer (ALB) and Network Load Balancer(NLB) now support Transport Layer Security (TLS) policies that uses Federal Information Processing Standard (FIPS) 140-3 certified cryptographic modules to protect sensitive information. FIPS 140-3 is the latest technical standard for cryptographic modules from the U.S. and Canadian Federal governments. ALB/NLB uses AWS-Libcrypto, which is a FIPS 140-3 validated purpose built cryptographic module maintained by AWS that is secure and performant.

Amazon S3 now allows you to enable S3 Object Lock for existing buckets with just a few clicks and to enable S3 Replication for buckets using S3 Object Lock. These improvements make it even easier to adopt S3 Object Lock, which protects objects from being overwritten or deleted.

Automation, a capability of AWS Systems Manager, enables you to automate routine operations tasks using runbooks. Today, AWS Systems Manager announces enhanced automation actions such as loops, runbook variables, type transformations, and output filtering. This launch simplifies the runbook authoring experience and eliminates the need to to write custom scripts to perform these actions.

Amazon Connect now provides a queue performance dashboard that helps contact center managers analyze, track, and improve contact center performance. This dashboard enables managers to view and compare real-time and historical aggregated queue performance using custom-defined time periods (e.g., week over week), a summary chart, and a time series graph. Managers can uncover trends and patterns at a glance across key metrics including service level, contacts handled, and average handle time to track and improve queue performance. For example, you can see when the current week service levels are lower than the prior week and determine if this is correlated with an increase in contacts handled or average handle time to determine and implement corrective actions.

AWS Supply Chain now offers Work Order Insights to provide order level visibility of maintenance related materials from sourcing to delivery and making it easier for customers to execute planned maintenance and repairs.

AWS Glue for Apache Spark announces the launch of six new database connectors: Teradata, SAP HANA, Azure SQL, Azure Cosmos DB, Vertica, and MongoDB. These native connectors enable users to efficiently read and write data from these systems without the need to install or manage any connector libraries. Users can add these databases as a source or target within AWS Glue Studio's no-code, drag-and-drop visual interface or use the connector directly in an AWS Glue ETL script job.

Today, AWS announces support for single sign-on (SSO) in Amazon CodeCatalyst, enabling customers to access CodeCatalyst with their workforce identities configured in IAM Identity Center. You can use an IAM Identity Center instance that is part of your AWS Organization or AWS account. Once the IAM Identity Center instance is associated with the Amazon CodeCatalyst space, directory groups can be assigned access.

AWS Lambda now supports creating serverless applications using Java 21. This runtime is based on the latest long-term support release of AWS Corretto, Amazon’s distribution of OpenJDK. Developers can use Java 21 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available.

Amazon DocumentDB (with MongoDB compatibility) is now available in the AWS GovCloud (US-East) Region adding to the list of available regions where you can use Amazon DocumentDB. AWS GovCloud (US) Regions are isolated AWS Regions designed to host sensitive data and regulated workloads in the cloud, assisting customers who have United States federal, state, or local government compliance requirements.

AWS Trusted Advisor introduces new APIs to enable you to programmatically access Trusted Advisor best practice checks, recommendations, and prioritized recommendations. Trusted Advisor continuously evaluates your AWS environment using best practice checks in the categories of cost optimization, performance, resilience, security, operational excellence, and service quotas, and recommends actions to remediate any deviations from best practices. Trusted Advisor Priority provides context driven and prioritized recommendations from your AWS account team to help you focus on the most important recommendations.

Amazon OpenSearch Ingestion now offers persistent buffering when ingesting streaming data from push-based sources, offering data durability and simplifying data ingestion architecture. Customers can now use persistent buffering to ingest data from http sources like FluentD and FluentBit and OpenTelemetry collectors without the need to set up a standalone buffer. Persistent buffering in Amazon OpenSearch Ingestion is serverless and scales elastically to meet the throughput needs of even the most demanding workloads.

Amazon QuickSight is excited to announce the launch of Custom Week Start feature, an addition designed to enhance the data analysis experience for customers across diverse industries and social contexts. Previously, QuickSight defaulted to starting the week on Sunday, offering no flexibility for customers to designate their preferred week start day. With the Custom Week Start feature, QuickSight authors can customize the start day of the week with a single click. QuickSight will then seamlessly convert all date-aware dimensions, calculated fields, and filters aggregated at the week level to be aligned with the selected week start day. For further details, visit here.

Amazon QuickSight now supports access management by assigning groups to Admin, Author and Reader roles programmatically for IAM Identity Center and Active Directory enabled QuickSight accounts.

Starting today, Amazon OpenSearch Ingestion is now available in 3 additional commercial regions: Asia Pacific (Mumbai), Asia Pacific (Seoul), and Canada (Central).

Starting today, Amazon Athena uses cost-based optimizer (CBO) to enhance query performance based on table and column statistics, collected by AWS Glue Data Catalog. With CBO, Athena analyzes and selects query plan optimizations, such as reordering joins or moving aggregations to earlier in the plan, that improve performance without requiring changes in your SQL code.

Amazon S3 Storage Lens now provides request metrics for prefixes within an S3 bucket. Prefix-level metrics like total request counts, request counts by status code, bytes downloaded, and more, help you better understand activity for the largest prefixes within a bucket, and identify opportunities to optimize your S3 storage.

Today, AWS launches an account instance of IAM Identity Center that gives customers a quick path to evaluate supported AWS managed applications, such as Amazon CodeCatalyst. It allows customers to use the secure authentication model of IAM Identity Center but limited to a single AWS account and only with supported AWS managed applications. This includes new and updated APIs to manage IAM Identity Center instances.

AWS Supply Chain Demand Planning now offers a quicker and thus more user-friendly way to execute key workflows, such as displaying a forecast view based on given selected filters to refine the forecast. By improving database indexing and query performance, AWS Supply Chain Demand Planning delivers up to 75% lower read latencies. With this release, AWS Supply Chain Demand Planning also introduced upgrades to it forecasting capabilities to enable faster model training and predictions, resulting in up to 3x faster forecast generation than previous versions.

Today, Amazon Pinpoint launched registration capabilities for developers who build SaaS applications. This helps developers include the phone number request and registration processes into their own applications. SaaS application customers want their own phone numbers to send and receive SMS messages from. They view SMS phone numbers as an extension of their brand and strive for a consistent end-user experience where they send and receive messages from the same phone numbers and sender IDs each time. 

Amazon Connect now offers quick responses for chats making it easy for agents to use pre-written responses to resolve customer issues with greater speed and accuracy. Managers can create quick responses in the Amazon Connect admin website for agents to use while responding to chats.

Today, we are introducing a Free Tier for VPC IP Address Manager (IPAM) that helps you get started with IP address management tasks. It includes features for public IP address planning, and also includes Public IP Insights which now provides a unified view of your public IPv4 usage. If you have an existing IPAM, it will now become Advanced Tier, and you can continue using its features without any change in IPAM cost.

Today, AWS announced the launch of a new IPAM feature called Bring-Your-Own-ASN (BYOASN) that lets you bring your own Autonomous System Number (ASN) to AWS, and use it to advertise your IP addresses from AWS. If your applications are using trusted IP addresses and ASNs that your partners or customers have allow listed in their network, you can now run these applications in AWS without requiring your partners or customers to change their allow lists. 

Amazon OpenSearch Ingestion now allows you to migrate your data from Elasticsearch version 7.x clusters to the latest versions of Amazon OpenSearch Service managed clusters and both public and VPC serverless collections, eliminating the need for 3rd party tools like Logstash to migrate your data. This launch also enables you to migrate your data from 2.x version Amazon OpenSearch Service managed clusters to serverless collections. Additionally, you can now use Amazon OpenSearch Ingestion to replicate and migrate indexes between Amazon OpenSearch serverless collections.

Today, we are excited to announce that customers using IAM Identity Center as their authentication method in SageMaker Studio can now fully automate setup of Studio user profiles using SageMaker and IdC APIs.

Amazon EMR is excited to announce that Amazon EMR Serverless is now available in the Africa (Cape Town), Asia Pacific (Jakarta, Osaka), and Europe (Milan).

Amazon Elastic Container Registry (ECR) now includes Docker Hub, Azure Container Registry, and GitHub Container Registry as supported upstream registries for ECR’s pull through cache feature. With today's release, customers can configure a rule that is designed to automatically sync images from the newly supported upstream registries to their private ECR repositories. 

Today, AWS announces support for Virtual Private Cloud (VPC) within Amazon CodeCatalyst. This launch allows you to connect to a VPC from CodeCatalyst Workflows, extending the number of developer scenarios supported by CodeCatalyst.

Amazon QuickSight is excited to announce the launch of Custom Time Zone feature. This feature aims to improve the experience for customers dealing with data spanning diverse geographic regions, offering QuickSight authors enhanced flexibility in interpreting and manipulating data with time zones customized to their preferences, beyond the constraints of UTC. Before this feature, QuickSight lacked time zone awareness. Customers have to explicitly define time zone conversions through offset calculated field for individual data fields from different sources. With the introduction of out-of-the-box support for Custom Time Zone, dashboard authors can effortlessly select their desired time zone with a single click. QuickSight will seamlessly convert all time-aware visual dimensions, aggregated measures, calculated fields, filters, and parameters to the chosen time zone during query execution, in a timely manner. Furthermore, Daylight Saving Time adjustments are automatically applied, eliminating the need for workarounds that may inaccurately handle historical dates. For further details, visit here.

Today, AWS launched new IAM Identity Center APIs to manage user assignments to supported AWS and cloud applications. Together with the previously available APIs, this release allows customers to automate the management of account and application access, streamlining how customers scale with IAM Identity Center.

AWS Glue Data Catalog now supports generating column-level statistics for AWS Glue tables. These statistics are now integrated with cost-based optimizer (CBO) from Amazon Athena and Amazon Redshift Spectrum, resulting in improved query performance and potential cost savings.

AWS Lambda now allows Lambda functions to authenticate with multi-VPC enabled Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters over AWS Identity and Access Management (IAM). This allows you to easily establish IAM secured cross-account connectivity between Lambda functions and Amazon MSK clusters.

To help you measure and maximize your investments, the AWS Partner Analytics Dashboard now consolidates data insights from AWS Marketplace and APN Customer Engagements (ACE) in AWS Partner Central—providing you a single pane of glass view of your AWS business activities.

Amazon QuickSight launches custom permissions support for roles to restrict QuickSight functionality for users based on their role in the account (Reader, Author, Admin.) This feature is supported with all QuickSight identity types, including IAM Identity Center.

Amazon ECR is announcing the preview of repository creation templates, allowing customers to specify initial configuration for repositories that are automatically created by ECR via pull through cache. ECR customers can now specify configuration for these repositories, including encryption settings, lifecycle policies, and repository permissions. This enables customers to define custom configurations and assign them as defaults for various use cases within their registries. 

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions PostgreSQL 15.5, 14.10, 13.13, 12.17, and 11.22. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the PostgreSQL community. With this release, RDS for PostgreSQL now supports pgactive extension starting with PostgreSQL major versions 11 and higher.

Amazon Relational Database Service (RDS) for MySQL now supports creating active-active clusters using the Group Replication plugin. You can use the plugin to set up active-active replication between your RDS for MySQL database instances to provide continuous availability for your applications. Writing to two or more database instances in an active-active cluster can help maximize availability and reduce write latency.

To help developers configure and optimize their SMS messaging programs, Amazon Pinpoint has launched a new set of SMS management capabilities. Developers use SMS messages as an extension of the apps and services they build. For example, they use SMS for account login/sign-up, sending time sensitive alerts, helping their customers complete transactions, and two-way SMS chat.

You can now view applied quota values for resources within each of your Amazon Connect instances using AWS Service Quotas. When requesting a quota adjustment, Service Quotas allows you to indicate the Amazon Connect quota, desired value, and (where applicable) the instance to apply the adjustment to. For example, if you are planning to onboard a new workload to your existing contact center, you can now easily identify if you have sufficient quota capacity in your existing Amazon Connect instance to configure additional agents, phone numbers, flows, queues, or other resources. By leveraging AWS Service Quotas, you can quickly understand your applied service quota values for these resources, and then request quota increases in a few clicks.

Amazon Redshift now supports Canonical Name (CNAME) or custom domain name, an easy-to-read Domain Name System (DNS) record that routes SQL client connections to either the endpoint of your Amazon Redshift cluster or Amazon Redshift Serverless workgroup. With CNAME, you don’t need to expose your Redshift endpoint in the database connection, which enhances your security and it’s easier to recall and use. 

Amazon EventBridge EventBus allows customers to audit and monitor the actions in their AWS environments through events that are generated by AWS CloudTrail for API calls. Previously, only mutating API calls (for example: Create, Update, or Delete) were available in EventBridge. With support for read-only API events (for example: List, Get or Describe), customers will be able to receive and process the full suite of CloudTrail events from services that are integrated with EventBridge. 

AWS Glue for Apache Spark now supports native connectivity to Amazon OpenSearch Service which enables users to efficiently read and write data from Amazon OpenSearch Service without the need to install or manage OpenSearch connector libraries. Users can now use data stored in OpenSearch Service indexes as a source or target within AWS Glue Studio's no-code, drag-and-drop visual interface or directly in an AWS Glue ETL job script. When combined with AWS Glue's ETL (Extract, Transform, Load) capabilities, this new connector simplifies the creation of ETL pipelines enabling ETL developers to save time building and maintaining data pipelines.

Today, Amazon RDS Custom for SQL Server announced Point in Time Recovery (PITR) support for up to 1000 databases, an improvement over the previous limit of 100 databases. PITR enables users to restore databases to specific point in time within their retention period, ensuring enhanced disaster recovery capabilities. 

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now allows customers to use SQL Server Developer Edition by providing their own SQL Server Developer Edition installation media when creating an instance. Utilizing Developer Edition allows customers to lower the cost of development and testing with Amazon RDS Custom for SQL Server. Amazon RDS Custom is a managed database service that allows customization of the underlying operating system and database environment. Features of RDS Custom for SQL Server include Multi-AZ deployment, BYOL using Bring-Your-Own-Media and more. 

You can now use Amazon EMR Studio to develop and run interactive queries on Amazon Athena. This makes it possible for you to use EMR Studio for SQL analytics on Athena from the same interface that you use for your Spark, Scala, and other workloads.

Customers can now use Amazon Data Lifecycle Manager to automate the creation and retention of application-consistent EBS Snapshots for SAP HANA databases. In addition to backing up data using AWS Backint Agent for SAP HANA, customers can now back up their SAP HANA databases as storage snapshots that can be easily and quickly copied into different AWS Regions and accounts for Disaster Recovery purposes.

Amazon Connect now provides a Contact Lens conversational analytics dashboard that enables customers to understand why customers are contacting, the trends of contact drivers over time, and the performance of each of those call drivers (e.g., average handle time for call driver “where’s my stuff?”). You can view and compare real-time and historical aggregated performance, trends, and insights using custom-defined time periods (e.g., week over week), summary charts, time-series chart, etc. Managers can uncover trends and patterns for different call drivers across key metrics including contacts handled and average handle time. For example, contact center managers can use this dashboard to identify which call driver is driving a spike in contact volume and, in one click, drill down into that category by analyzing individual contacts.

AWS Transfer Family now offers increased limits for logical directory mappings up to 2.1 MB for SFTP, FTPS, and FTP customers, enabling finer grained control over how you present your files to your users. This gives you even more control to configure user access to securely upload and share massive volumes of data seamlessly across different teams, regions, and applications at scale.

AWS CloudFormation launches a new parameter for the CreateChangeSet API called ImportExistingResources that streamlines the process of importing resources into stacks. When you deploy ChangeSets with the ImportExistingResources parameter, CloudFormation automatically imports the resources in your template that already exist in your AWS account. CloudFormation uses the custom names of resources in your template to determine their existence. With this launch, you can reduce the manual effort of import operations and avoid deployment failures because of naming conflicts.

Today, AWS announced the launch of a new feature of Amazon VPC IP Address Manager (IPAM) that automates VPC subnet IP address management workflows. Now you can simplify IP address management for AWS workloads further by automating workflows for both, VPCs and VPC subnets.

Amazon CloudWatch Application Insights now offers observability of SAP Sybase ASE database. Application Insights helps customers gain insights for their SAP and non-SAP applications, databases and AWS resources by making it easy to set up and monitor applications, recognize problems, and use data to make decisions. This launch adds to the list of already supported SAP workloads such as SAP HANA and SAP NetWeaver applications. 

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g, M7g, R7g instances are available in AWS Region Asia Pacific (Seoul). Amazon EC2 C7g instances are also available in AWS Region Europe (Stockholm).

AWS Marketplace now offers more convenient methods of payment for customers leveraging the flexible payment scheduler. Partners selling on AWS Marketplace can extend AWS Marketplace Private Offers with the flexible payment scheduler to customers on any AWS approved payment method - credit cards, bank accounts, Single Euro Payments Area (SEPA) network, or invoicing terms. 

AWS Fargate adds support for AWS Graviton2 Processors in the AWS GovCloud (US) Regions and the Asia Pacific (Jakarta) AWS Region. This launch adds even more choice to help you optimize performance and cost for running your containerized workloads on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate. Now, AWS Graviton2 Processors are available for your workloads running with AWS Fargate on Amazon ECS in all AWS Regions, including the AWS GovCloud (US) and China Regions.

AWS Database Migration Service (AWS DMS) now supports Amazon Timestream, as a target endpoint. With this new support, you can securely migrate your time series data to Amazon Timestream, where you can store, process, and derive business insights cost-effectively. 

We are excited to announce general availability of AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs) with Amazon EMR on EC2 clusters. With today’s launch, Amazon EMR simplifies security and governance over transactional data lakes by providing access controls at table, column and row level permissions with your Apache Spark jobs accessing Apache Iceberg, Apache Hudi and Delta tables.

AWS Transfer Family now supports port 2222 for SFTP servers with VPC-hosted endpoints. This enables you to enhance the security of your servers as well as accommodate your business partners’ port requirements.

Today, AWS announces the release of teams for Amazon CodeCatalyst, which simplifies management of space and project access. This lets you organize CodeCatalyst space members into teams, and configure the default roles members of the team have. CodeCatalyst spaces using single sign-on (SSO) with IAM Identity Center can also assign SSO groups to a team, to centralize their CodeCatalyst user management.

Amazon Braket, the quantum computing service from AWS, adds support for parametric circuits on superconducting, gate-based quantum processing units (QPUs), enabling up to 10X faster runtime performance for quantum-classical algorithms using Amazon Braket Hybrid Jobs.

Amazon VPC allows customers to create VPCs and subnets of different sizes using IPv6 CIDRs. With this capability, customers can now create VPCs in sizes between /44 and /60, and subnets in sizes between /44 and /64, in increments of /4. Before today, AWS supported one standard IPv6 CIDR block size of /56 for VPC and /64 for subnet, whereas IPv4 CIDR block size were flexible for both VPCs and subnets.

We are excited to announce that Amazon GameLift Plugin for Unity now supports the latest versions of Unity Long Term Support (LTS) and Amazon GameLift Server SDK. Amazon GameLift is a fully managed service that allows developers to quickly manage and scale dedicated game servers for multiplayer games. With this release, Amazon GameLift Plugin for Unity now supports 2021.3 LTS and 2022.3 LTS for Windows and Mac OS.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6in and M6idn instances are available in AWS Region US West (N. California). These sixth-generation network optimized instances, powered by 3rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, 2x more network bandwidth and up to 2x higher packet-processing performance over comparable fifth-generation instances. Customers can use M6in and M6idn instances to scale the performance and throughput of network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function (UPF).

Amazon Relational Database Service (Amazon RDS) now offers the option to upgrade your MySQL 5.7 snapshots (Minor versions 16 to 43) to MySQL 8.0 (Minor versions 28, 32, 33, 34) using the RDS Console and the ModifyDBSnapshot API or CLI command.

Starting today, all new AWS IAM Identity Center instances will have multi-factor authentication (MFA) enabled by default. Enabling MFA is a security best practice we recommend, and is one of the simplest and most effective mechanisms to help you secure your user accounts.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports an enhanced version of Apache Kafka 3.6.0 that offers generally available Tiered Storage. Apache Kafka’s version 3.6.0 includes several bug fixes and new features, including early access for Tiered Storage. This enhanced version supports production-ready Tiered Storage, similar to previously launched Amazon MSK version 2.8.2, so customers can use it for mission-critical workloads. Tiered Storage makes storage management of your MSK Provisioned clusters easier by offering an elastically scalable and virtually unlimited remote storage tier in addition to the high-performance local storage tier. It also makes it more cost effective to store data for longer durations in Apache Kafka clusters. Learn more about Tiered Storage in Amazon MSK Developer Guide.

Amazon Neptune is now available in the AWS Israel (Tel Aviv) Region on engine versions 1.1.0.0 and later. You can now create Neptune clusters using R5, and T3 instance types in the AWS Israel (Tel Aviv) Region.

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce automatic language identification support for multi-lingual streams. If you operate in a country with multiple official languages or across multiple regions, your audio streams can contain different languages and switch between languages. For such use cases, you can enable multi-language identification, which identifies all languages spoken in your stream and creates transcript using each identified language. This means that if speakers change languages mid-conversation, or if each participant is speaking a different language, your transcription output detects and transcribes each language correctly.

AWS Cloud Map now supports AWS CloudTrail data events for DiscoverInstances and DiscoverInstancesRevision APIs. With CloudTrail integration for these AWS Cloud Map APIs, customers can now get a history of APIs calls made for cloud resource discovery. This can help customers enhance governance, compliance, and risk auditing capabilities for the workloads running with AWS Cloud Map.

Today, AWS Identity and Access Management (IAM) launched two new global condition keys for IAM policies that enable you to scalably allow AWS services to access your resources only on your behalf. With this new IAM capability, you can simplify management of your resource-based policies to require that AWS services access your resources only when the request originates from your organization or organizational unit (OU) in AWS Organizations.

The Amazon Time Sync Service now gives you a way to synchronize time within microseconds of UTC on Amazon EC2 instances.

AWS Lambda now supports failed-event destinations for Amazon Managed Streaming for Apache Kafka (MSK) and self-managed Apache Kafka event source mappings. Failed-event destinations enable your Lambda function to continue processing events on a topic even when it returns an error.

Amazon Simple Notification Service (Amazon SNS) now supports additional message filtering capabilities, including the ability to match against characters at the end of a value (suffix matching), to ignore case sensitivity (equals-ignore-case matching), and to have a single filter match if any conditions across multiple separate message properties are true (OR matching). You can leverage these new filtering operators to further simplify your messaging architecture by offloading additional message filtering logic from subscribers, as well as message routing logic from publishers.

Today, Amazon announced the availability of a new CloudWatch metric called EBS Stalled I/O Check to monitor the health of your AWS EBS volumes. You can use this CloudWatch metric to monitor the status of the I/O being driven on your EBS volume to determine when your volumes are impaired. With this new volume level metric, you can now quickly detect and respond to EBS impairments that may potentially be impacting the performance of your applications. The metric will return a 0 (pass) or a 1 (fail) status based on if the EBS volume is processing requested I/O operations. With Amazon CloudWatch, you can use the new metric to create customized dashboards and set alarms that notify you or automatically perform actions based on the metric.

Amazon FSx for Lustre, a service that provides cost-effective, high-performance, scalable file storage for compute workloads, now supports throughput scaling. This capability enables you to adjust the throughput tier of your file systems to meet changing performance requirements with greater agility and lower cost.

AWS IoT Device Management expands the capability of Fleet Indexing to support indexing and querying an IoT device’s last reported location. AWS IoT Device Management is a fully managed cloud service that you can use to remotely monitor and manage your IoT devices at scale. With the Fleet Indexing feature, you can easily query and group devices based on any combination of device attribute, state, and connectivity data stored across various AWS IoT data sources. With this update, you can use geoqueries to narrow your search and retrieve devices in desired geographic boundaries for more targeted insights, such as detecting location specific device connectivity issues.These insights can then further enable you to take targeted device management actions.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6in instances are available in AWS Region US West (N. California). These sixth-generation network optimized instances, powered by 3rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, 2x more network bandwidth and up to 2x higher packet-processing performance over comparable fifth-generation instances. 

Customers can now create Amazon FSx for OpenZFS file systems in the US West (N. California) region. Customers can also now create Multi-AZ file systems in the Canada (Central) region.

Today, Amazon Simple Queue Service (SQS) announces support for logging data event SQS APIs using AWS CloudTrail, enabling customers to have greater visibility into SQS activity in their AWS account for best practices in security and operational troubleshooting. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications.

Starting today, the memory-optimized Amazon EC2 R6a instances are now available in Asia Pacific (Sydney), and Asia Pacific (Tokyo) regions. R6a instances are powered by third-generation AMD EPYC processors, and deliver up to 35% better price performance than comparable R5a instances. These instances offer 10% lower cost than comparable x86-based EC2 instances.

AWS Lambda announces advanced logging controls that enable you to natively capture logs in JSON structured format, adjust log levels, and select the Amazon CloudWatch log group for your Lambda functions.

Starting today, we are extending the history and improving the granularity of data available in AWS Cost Explorer. AWS Cost Explorer by default now supports 14 months of cost and usage data at daily granularity, up from 13 months. In addition, customers have the option to enable up to 38 months of history at a monthly granularity, and they have the option to enable 14 days of resource level data for any AWS service at daily granularity. Each of these features is offered for free.  

AWS Amplify Hosting is excited to announce the general availability of wildcard subdomains when using a custom domain with your Amplify application. This new capability is available for any application deployed to AWS Amplify Hosting using a custom domain including static applications, single page applications (SPA), and fullstack Server-side rendering applications using Next.js.

Today, we’re announcing AWS Directory Service for Microsoft Active Directory (AWS Managed Microsoft AD) adds support for One Identity Active Roles. Active Roles enables customers to synchronize identities between AWS Managed Microsoft AD and self-managed Active Directories, HR systems, and modern identity management systems, such as One Login, Entra ID, Okta, Ping, Google Identity and other SCIM identity providers. In addition, Active Roles provides enhanced auditing capabilities and governance controls, dynamic delegation models, least privilege access management, automated provisioning, and workflow-based approval systems, layered on top of your identity services to enhance your overall management experience.

Today, we are excited to announce the general availability of the highly expressive long-form engine with the first three American English Amazon Polly voices available to our customers in the US.

AWS Systems Manager now publishes status updates for operational issues and change requests to Amazon EventBridge. This enables customers to leverage Amazon EventBridge to respond to operational issues and change requests in real-time. With this integration, customers can now listen for changes in operational issues or change requests and trigger workflows in real-time, such as calling a Lambda function or sending notification to Slack and Pager Duty.

With server-side composition in Amazon Interactive Video Service (Amazon IVS), you can combine audio and video from stage participants into a composited view. This composited view can then be broadcast to an Amazon IVS channel (e.g., to reach a larger audience) or stored in Amazon Simple Storage Service (Amazon S3) for video on-demand (VOD) viewing.

Starting today, AWS Graviton3E-based Amazon Elastic Compute Cloud (Amazon EC2) C7gn instances are available in AWS Asia Pacific (Tokyo). Amazon EC2 C7gn instances feature the new 5th generation AWS Nitro Cards and deliver the highest network bandwidth, the best packet-processing performance, and the best price performance for network-intensive workloads. C7gn instances offer up to 200 Gbps network bandwidth and up to 3x higher packet-processing performance per vCPU versus comparable current generation x86-based network optimized instances. Take advantage of the enhanced networking capabilities to scale performance and throughput while optimizing the cost of running network-intensive workloads. Workload examples include network virtual appliances, data analytics, and CPU-based artificial intelligence and machine learning (AI/ML) inference.

Today, AWS announces the launch of Policy Assistant for AWS Verified Access, which makes it easier to express, troubleshoot, and simulate application access policies. Verified Access enables you to provide VPN-less secure access to corporate applications using Zero-Trust principles. Using policy assistant, you can accelerate the validation, troubleshooting and authoring of your application access policies. 

Amazon CloudWatch Logs is excited to announce the ability for customers to use up to two stats commands in a Log Insights query. By increasing the number of stats commands to two in a single query, customers can now use the second stats command to perform aggregations on the results of the first stats operation. For example, customers can aggregate their log traffic over 10-minute intervals using a stats command, and then calculate the maximum traffic across the 10-minute intervals using another stats command in the same query. 

Customers can now use default policies to backup all EC2 instances and EBS volumes in their account with a single API call via Amazon Data Lifecycle Manager. Default policies work in conjunction with customers’ existing backup mechanisms to only create EBS-backed AMIs and EBS Snapshots of instances and volumes with no recent backups. This helps ensure customers have comprehensive backup protection without creating duplicate backups or increasing management overhead and cost.

Amazon MSK now automatically sends you alerts when you are at risk of exhausting your storage capacity. The alerts also provide recommendations on the best steps to take to manage your storage. This feature makes it easier for you to identify and quickly resolve storage capacity issues before they become critical. Amazon MSK automatically sends these alerts to the Amazon MSK Console, AWS Health Dashboard, Amazon EventBridge, and email contacts for your AWS account. You can also configure Amazon EventBridge to deliver these alerts via Slack or to tools such as New Relic and Datadog. 

Today, AWS announced PartyRock, an Amazon Bedrock Playground. PartyRock is a fun and intuitive hands-on, generative AI app-building playground. In just a few steps, you can create a variety of apps to experiment with generative AI. For example, you could build an app to generate dad jokes on a chosen topic, create the perfect personalized playlist, recommend what to serve based on ingredients in your pantry, analyze and optimize your party budget, or create an AI storyteller to guide your next fantasy role-playing campaign. By building and playing with PartyRock apps, you’ll learn the techniques and capabilities needed to take full advantage of generative AI, including experimenting with various foundation models, building intuition with text-based prompting, and chaining prompts together. PartyRock is powered by Amazon Bedrock, a fully managed service that makes foundation models (FMs) from Amazon and leading AI companies available through an API.

Amazon FSx for OpenZFS now provides additional performance metrics for improved visibility into file system activity and an enhanced monitoring dashboard with performance insights and recommendations. You can use the new Amazon CloudWatch metrics and dashboard to right-size your file systems and optimize performance and costs.

Microservice Extractor now helps customers to port Windows-dependent, .NET Framework-based applications to cross-platform .NET to run on Linux operating systems. With this integrated porting capability, developers use Microservice Extractor to break down a large .NET Framework-based application with hundreds of projects and 10k+ classes into manageable groups based on the portability of code modules at project, name space, API, or class levels. Customers can extract, port and deploy one group at a time, and the rest of the code in the monolith can use ported code through the network. This iterative modernization approach not only cuts the time in half to transition a large business application from Windows to Linux, but it also helps organizations re-architect application for the cloud at the same time.

AWS AppSync is a fully managed service that enables developers to build digital experiences based on real-time data. With AppSync, you can configure data sources to push and publish real-time data updates to subscribed clients. AppSync handles connection management, scalability, fan-out and broadcasting, allowing you to focus on your application business needs instead of managing complex infrastructure.

AWS announces the preview of AWS Integrated Application Test Kit (IATK), a new open-source test library that makes it easier for developers to create tests for cloud applications with increased speed and accuracy. With AWS IATK, developers can quickly write tests that exercise their code and its AWS integrations against an environment in the cloud, making it easier to catch mistakes early in the development process. IATK includes utilities to generate test events, validate event delivery and structure in Amazon EventBridge Event Bus, and assertions to validate call flow using AWS X-Ray traces.

Today, AWS Backup announces a new jobs dashboard console experience, simplifying backup health monitoring at scale with a new visual user interface and aggregated backup, copy, and restore metrics for services supported by AWS Backup.

Amazon Relational Database Service (Amazon RDS) Multi-AZ deployments with two readable standbys now supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy. This capability allows you to take advantage of the most recent performance improvements, bug fixes, and any new security fixes or patches from the latest minor versions of PostgreSQL and MySQL with minimal interruption to your application.

Today, Amazon Athena released a new JDBC driver that improves the experience of connecting to, querying, and visualizing data from your preferred SQL development and business intelligence applications. The new JDBC driver is simple to upgrade and can improve performance for applications that consume large query results by reading results from Amazon S3.

Today, Amazon EBS announced the availability of Snapshot Lock, a new security feature that helps customers comply with their data retention policies and add another layer of protection against inadvertent or malicious deletions of data. Customers use EBS Snapshots to back up their EBS volumes for disaster recovery, data migration, and compliance purposes. Customers can set up multiple layers of data protection for EBS Snapshots, including copying them across multiple AWS regions and accounts, setting up IAM access policies as well as enabling Recycle Bin. With Snapshot Lock, customers can configure locks on individual snapshots so that they cannot be deleted by anyone, including the account owner, for a specified period of time. Customers have the flexibility of granting certain users access to modify snapshot lock configurations per their data governance guidelines or implementing stricter controls by ensuring that the lock configuration cannot be modified by anyone, including privileged users. Customers can also rely on this feature to store EBS Snapshots in a WORM (Write-Once-Read-Many) compliant format.

Amazon Keyspaces (for Apache Cassandra), is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service that offers 99.999% availability.

Today, we are announcing an improvement to the Amazon Elastic Block Store (EBS) performance of Amazon Compute-Optimized C6in, General Purpose M6in and M6idn, and Memory-Optimized R6in and R6idn EC2 instance types.

Today, AWS CloudTrail Lake announces a one-year extendable retention pricing option that is optimized for flexible data retention needs. CloudTrail Lake is a managed data lake that lets you aggregate, immutably store, and analyze activity logs for audit, security, and operational investigations. With the one-year extendable retention pricing, the first year of retention is included with ingestion charges. You may choose to extend the retention period to a maximum of 10 years by paying extended retention charges after the first year. Compliance, audit, security, and operations teams can use the new pricing option for cost-effective retention of auditable data sources in alignment with compliance programs such as PCI-DSS, as well as for forensic and operational investigations.

In October, AWS launched a self-guided experience in AWS Partner Central with automated tasks that accelerates the partner journey from registration to listing in AWS Marketplace. Now, we’ve extended that guidance throughout the Software Path, providing partners with the personalized tasks and guidance to help you develop and mature your software offering(s). As you progress through the four growth motions of build, market, sell and grow, you’ll automatically become eligible for key ISV programs like AWS SaaS Factory and AWS ISV Accelerate. Relevant tasks will be surfaced to help you complete the requirements and unlock greater partner benefits and programs. 

AWS introduces an enhanced co-sell experience for AWS Partners using APN Customer Engagements (ACE).

Amazon Managed Grafana now features a new self-service plugin management experience for Grafana community plugins. With this release, Amazon Managed Grafana administrators can discover and install Grafana community plugins directly from their workspace. Plugins enable you to extend your Grafana experience, unifying data from a wider variety of data sources with visualizations tailored to analyze your unique datasets.

Amazon S3 Storage Lens introduces Storage Lens groups, a new way to aggregate metrics using custom filters based on object metadata. Storage Lens groups help you drill-down into characteristics of your data, such as distribution of objects by age, your most common file types, and more. This information helps you to better understand and optimize your S3 storage.

Starting today, Amazon EC2 High Memory instances with 6TiB of memory (u-6tb1.56xlarge, u-6tb1.112xlarge) are now available in Europe (London) and Europe (Spain) Regions. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.

Amazon RDS for SQL Server now supports Microsoft SQL Server 2022 CU9 for Express, Web, Standard, and Enterprise Editions. You can now leverage SQL Server 2022 features such as Query Store Enhancements, Parameter Sensitive Plan Optimization, and SQL Server Ledger on your Amazon RDS for SQL Server DB instances.

Today, Amazon EC2 Auto Scaling launches a new capability, instance maintenance policy, for customers to define whether instances are launched before or after existing instances are terminated during instance replacement. This controls how your group replaces instances for operations such as instance refresh, health checks, and rebalancing. From the console, you can choose "policy presets" or provide unique settings that help you optimize for availability or cost.

Amazon Connect launches a new hours of operation UI with an enhanced user experience, AWS CloudTrail coverage and tagging. Hours of operation let you indicate when your call center is open, and are used when building flows and routing contacts to agents. Now when your operating hours are configured or modified in the Amazon Connect admin website, a record of that activity is available in AWS CloudTrail for visibility, reporting, and compliance. You can answer questions such as, “what were our hours before that change?”, and “when was that schedule deleted?” To learn more about the new hours of operations page, see the Amazon Connect Administrator Guide and the AWS CloudTrail Documentation.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7gd, M7gd, and R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are now available in Asia Pacific (Mumbai) and US West (N. California) regions. Additionally, M7gd and R7gd instances are now available in Asia Pacific (Sydney).

AWS Cost Management services now support AWS Service Catalog AppRegistry resource tags to help customers better manage, analyze, and optimize their application related resource costs. Starting today, customers who use AppRegistry to define their applications can have the new AWS application tag applied to all their application resources. This tag is provided by AppRegistry, and allows customers to group and view resource collections across their AWS accounts as applications that they define. The application tag is automatically activated as a cost allocation tag so that it can be used in various cost management services to analyze, manage, and optimize application-related resource costs.

AWS Audit Manager has integrated with MetricStream, an AWS Partner and Governance, Risk and Compliance (GRC) solution provider. This integration allows you to import evidence of your AWS usage and configurations directly from Audit Manager into your MetricStream CyberGRC. Instead of jumping between multiple tools to manage compliance, you can use MetricStream CyberGRC as a single location to centralize evidence and address issues for controls that assess your AWS, on-premises, and multicloud environments. 

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL version 16.0 in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 16.0 on Amazon Aurora for PostgreSQL. PostgreSQL 16.0 was released by the PostgreSQL community on September 14, 2023. PostgreSQL 16 adds support for SQL/JSON constructors and identity functions, more query types that can use parallelism, and the ‘pg_stat_io’ view that provides statistics on I/O usage. To learn more about PostgreSQL 16, read more here.

Today, AWS is launching an improved user experience for AWS Partners starting from registration in AWS Partner Central to on-boarding, creating an offering, and providing step-by-step guidance to build and promote their offerings. 

Starting today, memory optimized Amazon Compute Cloud (Amazon EC2) X2iedn instances are available in Europe (Spain) region. X2iedn instances, powered by 3rd generation Intel Xeon Scalable Processors (Ice Lake) and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1e instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database.

Today Amazon Web Services, Inc. (AWS) announces the availability of AWS CloudTrail Insights as a data source in AWS CloudTrail Lake. CloudTrail Lake is a managed data lake that lets you aggregate, immutably store, query and visualize your activity logs for auditing, security investigations and operational troubleshooting. CloudTrail Insights helps you identify unusual operational activity in your AWS accounts such as spikes in resource provisioning or bursts of AWS Identity and Access Management (IAM) actions. Until today, CloudTrail Insights were only available to customers using CloudTrail trails. Now, with CloudTrail Lake, you can analyze both your Insights events and AWS management events, helping you correlate the unusual activity with the AWS management events that could have led to it. You can also use the curated CloudTrail Lake dashboards to get an overview of anomalous behavior in your account including the type of Insights generated on your accounts or the source of these Insights.

AWS unifies the experience across AWS Marketplace and AWS Partner Central. You can now link your Partner Central and AWS Marketplace accounts, and associated users. Once connected, Partner Central users can navigate to AWS Marketplace Management portal and connect your offerings in Partner Central with your AWS Marketplace product listing. This feature allows partners to connect multiple AWS Marketplace listing variations from a core Marketplace listing to the specific software offering in Partner Central. 

Starting today, you can use Amazon Route 53 Resolver DNS Firewall in the Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Zurich), and Europe (Spain) Regions.

AWS Trusted Advisor has launched 37 new Amazon RDS checks that provide best practice guidance by analyzing DB instance configuration, usage, and performance data. These new checks span the performance, fault tolerance, security, and operational excellence categories of Trusted Advisor.

AWS Step Functions now allows you to easily restart workflows from their point of failure, so you can recover from failure faster, increase efficiency, and pay only for what you need. AWS Step Functions is a visual workflow service capable of orchestrating 11,000+ API actions from over 220 AWS services to automate business processes and data processing workloads.

Amazon Managed Workflows for Apache Airflow (MWAA) now enables you to create environments in a shared, centrally-managed Amazon Virtual Private Cloud (VPC). VPC sharing allows teams, each with different AWS accounts, to create resources in a centrally-managed VPC. This reduces the number of VPCs that you need to create and manage, while using separate accounts for billing and access control.

AWS Lambda now supports creating serverless applications using Node.js 20. Developers can use Node.js 20 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. You can use Node.js 20 with Lambda@Edge, allowing you to customize low-latency content delivered through Amazon CloudFront. Powertools for AWS Lambda (TypeScript), a developer toolkit to implement serverless best practices and increase developer velocity, also supports Node.js 20.

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances. DL2q instances are powered by Qualcomm AI 100 Standard accelerators and are the first to feature Qualcomm’s AI technology in the public cloud. 

AWS Glue Data Catalog now supports automatic compaction of Apache Iceberg tables, making it easier for you to keep your transactional data lakes always performant. Enabling automatic compaction on Apache Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance. 

Amazon Web Services (AWS) announces the expansion of Wideband Digital Intermediate Frequency (DigIF) to the Oregon, Ohio, and Dubbo locations. With Wideband DigIF, satellite operators can use a Software Defined Radio (SDR) of their choice to perform demodulation and decoding of data in their Amazon Virtual Private Cloud (Amazon VPC), resulting in more control and flexibility of downlink data.

AWS Resource Explorer now supports 86 more resource types from services including AWS CloudFormation, AWS Glue, and Amazon SageMaker. With this launch, customers can now use AWS Resource Explorer to search for and discover resources for the following newly supported resource types:

We are announcing the general availability of the AWS Amplify JavaScript Library v6 which includes reduced bundle sizes, richer TypeScript support, and integrations with Next.js server-side features. The AWS Amplify JavaScript Library enables frontend developers to connect their web and React Native apps to AWS cloud backends. In this release, Amplify JavaScript now offers richer TypeScript support enhancing developer productivity and reducing runtime errors. Additionally, Apps using this new release will be served with smaller bundle sizes. Amplify JavaScript v6 also introduces an integration with Next.js server-side features such as App Router, Middleware, API routes, and server functions.

AWS announces the general availability of the Amazon Elastic Compute Cloud (EC2) Instance Topology API for Machine Learning and High Performance Computing workloads. The Instance Topology API provides customers a unique per account hierarchical view of the relative proximity between instances. Customers can describe their instance topology to identify instances that are in a tightly coupled group, and can use it to further improve communication time, reducing job completion time.

Amazon QuickSight is introducing shared restricted folders, a Contributor role and support for data source asset types in folders. These capabilities enable governed QuickSight asset sharing at the folder level. 

AWS Lambda Console now supports two new capabilities by integrating with AWS Application Composer, making it easy for developers to either build their serverless applications visually or through IaC (Infrastructure as Code). First, developers can now view and download the AWS Serverless Application Model (AWS SAM) template for their function as they configure it on the console. Second, at the click of a button, they can export their Lambda function to AWS Application Composer, retaining all the function configuration.

Today, AWS announces the general availability of multi-account search for AWS Resource Explorer. Now, you can search for and discover resources such as Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Kinesis streams, and Amazon DynamoDB tables across regions and across accounts in your organization using AWS Organizations. Multi-account search in Resource Explorer is available at no additional charge.

AWS Wickr now allows your Wickr network users to interact with individuals outside your organization. Anyone can sign-up for a Wickr guest account with their email address, and participate in secure conversations that are initiated by licensed Wickr network users. Wickr administrators can enable or disable the guest user feature for individual security groups in the Wickr admin console.

Starting today, customers can use AWS Client VPN in four additional AWS (UAE, Melbourne, Spain, and Zurich) Regions. Using AWS Client VPN customers can provide secure access to their resources in AWS or on-premises network for their remote workforce.

Amazon ElastiCache for Redis version 7.1 is now generally available. This release contains performance improvements which enable workloads to drive higher throughput and lower operation latencies. ElastiCache customers can achieve over 1 million requests per second per node on r7g.4xlarge or larger. Amazon ElastiCache for Redis version 7.1 can achieve up to 100% more throughput and 50% lower P99 latency, compared to Elasticache for Redis version 7.0.

Today, AWS Managed Services (AMS) announces the general availability of monitoring and incident management for Amazon EKS in AMS Accelerate. AMS Accelerate helps you operate AWS workloads efficiently and securely leveraging standard AWS services. It offers expertise, operational best practices, and automations that are tailored to your environment and applications. With monitoring and incident management for EKS, AMS Accelerate maintains the health and improves the resiliency of your EKS workloads, while removing the need for you to manage alerts and incidents.

AWS Graviton2-based R6g and T4g database instances are now available in Africa (Cape Town), Asia Pacific (Hyderabad), Asia Pacific (Osaka), Asia Pacific (Jakarta), Asia Pacific (Melbourne) ,EU (Spain), EU (Zurich), Middle East (Bahrain), and Middle East (UAE) regions for Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition. These instances are powered by the AWS Graviton2 processors that are custom designed by AWS using 64-bit Arm Neoverse cores.

Starting today, you have access to new dashboards in the WAF console to enable you to better monitor your traffic. These dashboards are available by default and require no additional setup. These dashboards leverage CloudWatch metrics and highlight metrics such as total requests, blocked requests, allowed requests, bots vs non bot requests, bot categories, CAPTCHA solve rate, top 10 matched rules and more, on a per-Web ACL basis.

Today, AWS announces support for Terraform within Amazon CodeCatalyst. This launch allows you to provision infrastructure using Terraform within a CodeCatalyst workflow. A workflow is an automated procedure that describes how to build, test, and deploy your code as part of a continuous integration and continuous delivery (CI/CD) system. A workflow defines a series of steps, or actions, to take during a workflow run. This launch allows you to add a Terraform action to your workflow, providing a way to create or update infrastructure as defined in a .tf file.

Amazon WorkSpaces is releasing a self-service diagnostic log uploads feature on Windows, Mac, Linux, and Web Access to help with troubleshooting issues that might occur when your users are using the WorkSpaces client. The log files that are sent to WorkSpaces (AWS) include information about your device and connection to the AWS network, which will help WorkSpaces (AWS) troubleshoot and resolve your issues faster. You can enable automatic log uploads for your users, or let your users do so themselves, so that these files are sent to WorkSpaces (AWS) automatically. You can enable diagnostic log uploads before or during a WorkSpaces streaming session.  

Amazon Connect now supports creating and managing tasks in the AWS GovCloud (US-West) Region. Amazon Connect Tasks empowers you to prioritize, assign, and track all contact center agent tasks to completion, improving agent productivity and ensuring customer issues are quickly resolved. For example, you can configure rules in Amazon Connect that automatically create tasks to route customer tickets from your ticketing system to available agents, pre-populate relevant information using task templates to help them resolve issues faster, and schedule tasks for a specific date or time to reach out to the customer. Amazon Connect Tasks also provides pre-built integrations with CRM applications (e.g., Zendesk, Salesforce) and APIs to more easily integrate with business-specific applications and leverage all relevant customer information to successfully resolve customer issues.

Today, AWS IoT Device Defender announces the capability to export cloud-side and device-side metrics to your own data lake running on AWS or outside. AWS IoT Device Defender continuously monitors device fleets to detect any abnormal device behavior, alerts about security issues, and provides built-in mitigation actions. Using Detect feature, you can evaluate device and cloud-side metrics against a pre-defined threshold and receive alerts when deviations are detected. With the new export capability, you can easily transfer Detect metrics including number of messages received, network signal strength, CPU and memory usage, to other AWS and third-party services for further analytics.

Today, AWS announces the general availability of AWS CodePipeline in Asia Pacific (Jakarta), Asia Pacific (Hyderabad), Asia Pacific (Osaka), Asia Pacific (Melbourne), Israel (Tel Aviv), Europe (Spain), and Middle East (UAE) Regions.

Amazon RDS Custom for SQL Server now retains the same Service Master Key (SMK) throughout the lifespan of the RDS Custom for SQL Server database instance. By retaining the same SMK, your DB instance will be able to seamlessly use objects that are encrypted with the SMK.

Today we are announcing a new capability for AWS Clean Rooms which provides customers the flexibility to choose the collaboration member responsible for the query compute costs in a collaboration. Collaboration creators can now configure payment responsibility to decouple the member who runs the query from the member who gets charged for the query compute costs. For example, a media publisher may agree to pay the query compute costs in a collaboration, even if the advertiser is the query runner in the collaboration. The collaboration creator sets the query runner at the time the collaboration is created. With payment configuration, costs are no longer constrained to billing based on who runs queries. All members, including the member paying for the query compute costs, are able to review settings before they join the collaboration.

Amazon EventBridge Pipes now supports logging to Amazon CloudWatch Logs, Amazon Simple Storage Service (Amazon S3), and Amazon Kinesis Data Firehose. You can now more easily determine whether integration issues occured at the source, target, or the intermediary transformation and enrichment stages, customize the verbosity of your logs by selecting one of three log levels (error, info, and trace), and optionally choose to include event payloads, service requests, and service responses in your logs. Support for logs in Pipes provides improved observability for event-driven architectures, and enables you to troubleshoot issues faster.

Amazon Connect now enables integration with your preferred file scanning application to detect malware or other unwanted content in attachments before they can be shared in a chat or uploaded to a case. This capability provides an additional layer of protection for your customers and organization by preventing malicious files from being shared and downloaded.

Today, AWS announces the general availability of a new Local Zone in Dallas, Texas. This new AWS Local Zone comes with Amazon EC2 C6i, M6i, R6i, C6gn, and M6g instances and Amazon EBS volume types gp2, gp3, io1, sc1, and st1. You can also access Amazon ECS, Amazon EKS, Application Load Balancer, and AWS Direct Connect in this new Local Zone to support a broad set of workloads at the edge.

Amazon RDS for MySQL now supports MySQL Innovation Release 8.1 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 8.1 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases.

Today, AWS announces the general availability of customizable actions in the AWS Chatbot. Actions are configurable buttons displayed on the AWS service event notifications in Microsoft Teams and Slack channels. AWS customers can include actions on service event notifications to operationalize their frequently used DevOps runbook processes and incident response tasks to shorten diagnosis and resolution cycle time.

You can now use Elastic Load Balancing (ELB) service-specific condition keys in IAM policies to restrict configurations for Transport Layer Security (TLS) Policy and IP based access. This enhancement enforces users in your account follow standards you have put in place for load balancer configurations.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless now supports writes and reads from Kafka clients written in all programming languages. Administrators can simplify and standardize access control to Kafka resources using AWS Identity and Access Management (IAM). Amazon MSK’s IAM support is based on SASL/OAUTHBEARER, an open standard for authorization and authentication. Amazon MSK Serverless is a cluster type for Amazon MSK that allows you to run Apache Kafka without having to manage and scale cluster capacity. MSK Serverless automatically provisions and scales compute and storage resources, so you can use Apache Kafka on demand.

AWS Lambda launches a single pane view of metrics, logs, and traces in the Lambda console, making it easy for you to monitor and troubleshoot your Lambda functions. 

You can now access Cohere Command Light, Cohere Embed English, and Cohere Embed multilingual models in Amazon Bedrock. Command is Cohere’s flagship text generation model and is trained to follow user commands and to be useful in business applications. Cohere Embed offers a set of models trained to produce high-quality embeddings from text documents. 

Amazon Elastic Container Service (Amazon ECS) now supports idempotency for task launches, allowing you to safely retry task launches without side effects. This feature helps ensure that timeouts or connection errors do not result in the launch of more instances than you originally intended, saving you time and money.

AWS Lambda runtime management controls are now available in the Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Israel (Tel Aviv), and Middle East (UAE) Regions. The operational simplicity of automatic runtime updates is one of the features customers most like about Lambda. Runtime management controls provide customers running critical production workloads with more visibility and control over when runtime updates are applied to their functions.

We are excited to announce regular expression support for Amazon CloudWatch Logs Live Tail filter pattern syntax, making it easier to search and match relevant log events. Customers use filter pattern syntax today in metric filters and subscription filters, and Live Tail’s addition is further enhancing their experience. With today’s launch, customers will be able to customize their filtering to meet their needs with flexible and powerful regular expressions within Live Tail filter patterns. Now customers can define one filter to match multiple IP subnets or HTTP status codes using a regular expression such as ‘{ $.statusCode=%4[0-9]{2}% }’ rather than having to define multiple filters to find exactly what they are looking for in their logs.

You can now access Meta’s Llama 2 Chat model (13B) in Amazon Bedrock. Llama 2 models are next generation large language models (LLM) provided by Meta. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Meta, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

Amazon Managed Streaming for Apache Kafka (Amazon MSK)’s Identity and and Access Management feature now supports all programming languages. Administrators can simplify and standardize access control to Kafka resources using AWS Identity and Access Management (IAM). Amazon MSK’s IAM support is based on SASL/OAUTHBEARER, an open standard for authorization and authentication. Both MSK Provisioned and Serverless cluster types support the new MSK IAM expansion to all programming languages.

Research and Engineering Studio on AWS (RES) is an open source, easy-to-use web-based portal for administrators to create and manage secure cloud-based research and engineering environments. Using RES, scientists and engineers can visualize data and run interactive applications without the need for cloud expertise. 

AWS announces the general availability of launch template support for Elastic Network Adapter (ENA) Express for Amazon Elastic Compute Cloud (EC2) instances. ENA Express is an ENA feature that uses the AWS Scalable Reliable Datagram (SRD) protocol to improve network performance in two key ways: higher single flow bandwidth and lower tail latency for network traffic between EC2 instances.

AWS Compute Optimizer now supports recommendations for the latest generation C7a and R7a Amazon Elastic Compute Cloud (EC2) instance types, powered by 4th Gen AMD EPYC processors (code-named Genoa). Additionally, AWS Compute Optimizer is now generally available in Asia Pacific (Jakarta), Middle East (UAE), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), and Israel (Tel Aviv). 

AWS Device Farm is an application testing service that provides web and mobile developers with desktop browsers and real mobile devices so that they can improve the quality of their apps. With today’s launch, we are rolling out a new backend for our Android mobile device testing that provides reduced test start times, better Remote Access performance, simpler dependency management, and support for the latest software like Appium 2. With just a few changes to your test configuration, you can take advantage of these improvements to get your test results faster and with less effort configuring your environment.

Amazon Connect launches a new prompts configuration UI with an enhanced user experience and AWS CloudTrail coverage. Prompts are audio files like on-hold music that can be customized and configured to play within call flows. Now when you add, update or delete a prompt from the Amazon Connect admin website, a record of that activity is available in AWS CloudTrail for visibility, reporting, and compliance. For example, you may notice a discrepancy in the IVR prompt that customers hear when they call your support line. To investigate, you can leverage AWS CloudTrail to answer questions such as, “who saved this recording?” and, “when was this prompt changed?” To learn more about the new prompts page, see the Amazon Connect Administrator Guide and the AWS CloudTrail Documentation.

With the new security dashboard, you can now enable, monitor, and manage common security protections for your web applications directly from the Amazon CloudFront console. Built for customers that need unified management of their application delivery and security, the interactive security dashboard brings AWS WAF visibility and controls directly to your CloudFront distribution, including visibility into your application’s top security trends, allowed and blocked traffic, and bot activity. Investigative tools like a visual log analyzer and built-in blocking controls make it easy to isolate traffic patterns and block traffic without querying logs or writing security rules.

Amazon Connect has added support for Representative numbers for businesses in South Korea. Amazon Connect supports all five tiers of representative numbers ranging from two concurrent calls for the smallest representative number up to 5000 concurrent calls for the large scale services. Representative numbers are available only in Asia Pacific (Seoul).

Amazon Connect has reduced prices for Peru in US East (N. Virginia) and US West (Oregon) regions. This includes reductions of Peru Direct Inward Dial (DID) minutes by 25% from $0.0100/min to $0.0075/min, Toll Free (TFN) minutes by 37% from $0.1920/min to $0.1216min, and Outbound minutes by 55% from $0.0150/min to $0.0067/min.

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, offering performance and security fixes. Amazon RDS for SQL Server supports the new minor versions for SQL Server 2014, 2016, 2017, and 2019 on the Express, Web, Standard, and Enterprise Editions.

Amazon Connect has reduced outbound dialing rates across European countries in the Europe (Frankfurt) and Europe (London) regions. The new rates reflect an 8% reduction in calling to Austria at $0.0360/min, an 11% reduction to Denmark at $0.440/min, a 10% reduction to the Netherlands at $0.0380/min, a 10% reduction to Norway at $0.0800/min, and a 13% reduction to Switzerland at $0.1000/min.

AWS Control Tower customers can now configure tags for the controls that they have enabled in AWS Control Tower. Customers can add, remove, or list tags for the controls in the AWS Control Tower console or by using the tagging APIs. Tags can help you manage, identify, organize, search for, and filter resources. You can create tags to categorize resources by purpose, owner, environment, or other criteria. AWS Control Tower now supports the following tagging APIs:

• TagResource - This API call adds tags to controls enabled in AWS Control Tower.
• UntagResource - This API call removes tags from controls enabled in AWS Control Tower.
• ListTagsForResource - This API call returns tags for controls enabled in AWS Control Tower.

Amazon RDS Proxy is a fully managed and a highly available database proxy for Amazon Aurora and RDS databases. RDS Proxy allows customers to gracefully scale applications by efficiently reusing database connections. For application using PostgreSQL Extended Query Protocol, RDS Proxy can now reuse database connections, resulting in efficient use of database resources.

Today, AWS Glue Studio announces a faster and embedded interactive data preview experience. With this launch you will be able to attach data preview with each source and transform node of your AWS Glue Studio Visual ETL authoring interface. The new interactive data preview experience starts a new Glue Data Preview session as you open your visual interface and enables you to preview multiple data sets with a single session.

Amazon EventBridge now supports 22 additional Amazon CloudWatch metrics that enable you to monitor the performance of your event buses and proactively identify when you may need to increase your service quotas. Publishing events to an event bus now includes metrics such as API latency, event payload size, as well as number of successful, failed, and throttled events. For invocations, where EventBridge delivers an event to a target, such as AWS Lambda, new metrics provide visibility into retries, throttling, and end-to-end latency including the time it takes for a target to respond. These metrics provide deeper insight into your event-driven applications, and allow you to quickly identify and resolve issues as they arise.

Customers can now create Amazon FSx for OpenZFS file systems in ten new AWS Regions: Middle East (Bahrain), Asia Pacific (Osaka), Europe (Milan), Europe (Paris), South America (São Paulo), Israel (Tel Aviv), Africa (Cape Town), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), and Middle East (UAE).

Amazon EKS Anywhere Enterprise Subscriptions can now be purchased through the Amazon EKS console, APIs, and AWS CLI. You can purchase Amazon EKS Anywhere Enterprise Subscriptions for 24/7 support from AWS subject matter experts and access to Amazon EKS Anywhere Curated Packages. Amazon EKS Anywhere is an AWS-supported Kubernetes offering with automation tooling to simplify running Kubernetes in on-premises and edge environments.

Customers can now create Amazon FSx for OpenZFS Multi-AZ file systems in seven additional AWS Regions: Europe (Frankfurt), Asia Pacific (Sydney), Europe (London), Europe (Stockholm), Asia Pacific (Seoul), Asia Pacific (Mumbai), and Asia Pacific (Hong Kong). Customers can also now create Amazon FSx for OpenZFS Single-AZ 2 file systems in two additional AWS Regions: Europe (Frankfurt) and Asia Pacific (Sydney).

Amazon GuardDuty has incorporated new machine learning techniques to more accurately detect anomalous activities indicative of threats to your Amazon Elastic Kubernetes Service (Amazon EKS) clusters. This new capability continuously models Kubernetes audit log events from Amazon EKS to detect highly suspicious activity such as unusual user access to Kubernetes secrets that can be used to escalate privileges, and suspicious container deployments with images not commonly used in the cluster or account. The new threat detections are available for all GuardDuty customers that have GuardDuty EKS Audit Log Monitoring enabled.

Today, AWS Resilience Hub announces enhancements to its Resiliency Score capability, which now provides more actionable recommendations customers can implement to improve their application resilience and increase their score. Combined with the Exclude Recommendation capability, customer can emphasize different parts of the Resiliency Score that are most relevant to their application. Amazon Elastic Kubernetes Service (EKS) operational recommendations have been added to help improve the resilience posture of your applications which include EKS resources.

AWS Health introduces new features to help you manage planned lifecycle events, such as Amazon EKS Kubernetes version end of standard support, Amazon RDS certificate rotations, and end of support for other open source software. AWS Health is the authoritative source of information about service events and scheduled changes affecting your AWS cloud resources.

Amazon Comprehend announced new features to help organizations enhance trust and safety for text-based content. Amazon Comprehend is a natural language processing (NLP) service that provides pre-trained and custom APIs to derive insights from text. With the new Toxicity Detection and Prompt Safety Classification features, customers can now apply guardrails to moderate user and machine generated content.

AWS Lambda launches auto scaling improvements for Amazon MSK and self-managed Apache Kafka as event sources. With this launch, customers will now experience faster scaling and more consistent throughput when processing Kafka messages with Lambda functions.

AWS CloudFormation StackSets announces a new capability ConcurrencyMode that provides customers a faster deployment experience while balancing deployment safety. Customers control speed and safety of their stack set deployments with concurrency and failure tolerance. Customers define these parameters along with ConcurrencyMode as a part of their StackSetOperationPreferences prior to running a stack set operation. StackSetsOperationPreferences is available with the following six APIs: create-stack-instances, delete-stack-instances, detect-stack-set-drift, import-stacks-to-stack-set, update-stack-set and update-stack-instances. With the ConcurrencyMode parameter, customers can modify existing deployment behavior of stack set operations for faster deployments that decouples concurrency from failure tolerance.

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Oracle Multitenant configuration on Oracle Database versions 19c and 21c running Oracle Enterprise Edition or Standard Edition 2. With this release, the Amazon RDS for Oracle DB instance can operate as a multitenant container database (CDB) hosting one or more pluggable databases (PDBs). A PDB is a set of schemas, schema objects, and non-schema objects that logically appears to a client as a non-CDB.

Today, Amazon Simple Queue Service (SQS) announces support for JSON protocol, enabling lower latency and improved performance for SQS customers. Based on AWS performance tests for a 5KB message payload, JSON protocol for Amazon Simple Queue Service reduces end-to-end message processing latency by up to 23% and reduces application client side CPU and memory usage. Amazon SQS is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. 

Amazon Relational Database Service (Amazon RDS) Optimized Writes now supports M5 database (DB) instances. With Amazon RDS Optimized Writes you can improve the write throughput for Amazon RDS for MySQL and MariaDB workloads by up to 2x at no additional cost. This is especially useful for write-intensive database workloads, commonly found in applications such as digital payments, financial trading, and online gaming.

Amazon OpenSearch Service now supports Neural Search on OpenSearch 2.9, enabling builders to create and operationalize semantic search applications with reduced undifferentiated heavy-lifting. For years, customers have been building semantic search applications on OpenSearch k-NN, but they’ve been burdened with building middleware to integrate text embedding models into search and ingest pipelines. Amazon OpenSearch Service customers can power Neural Search through integrations with Amazon SageMaker and Amazon Bedrock enabling semantic search pipelines that run on-cluster. 

AWS Batch now exposes array size as a container environment variable of an array child job. With this feature, customers can use array size in the logic of their applications (e.g. to divide data between jobs for parallel processing).

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports RDS Multi-AZ deployments with two readable standbys. Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability.

Amazon Elastic Block Store (EBS) now supports Block Public Access for EBS Snapshots, an account-wide security setting that allows customers to block public sharing of EBS Snapshots in an AWS Region. Customers managing EBS Snapshots at scale now have a simple and proactive way of safeguarding their data from inadvertent access by unauthorized users.

Amazon Relational Database Service (Amazon RDS) for MySQL now delivers up to 3X higher write throughput at no additional charge, starting with RDS for MySQL version 8.0.35. If you're running RDS for MySQL version 8.0.34 or lower, you can upgrade to RDS for MySQL version 8.0.35 to benefit from this performance improvement. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and to benefit from the bug fixes, performance improvements, and new functionality added by the MySQL community.

Amazon Aurora Global Database for PostgreSQL now lets you forward write requests from a secondary to a primary Region, simplifying writing from multiple Regions and making it easier to develop globally distributed applications. With this launch, write forwarding is now available on both Aurora Global Database for MySQL and PostgreSQL.

Amazon Relational Database Service (Amazon RDS) Custom for Oracle, a managed database service for legacy, custom, and packaged applications that require access to the underlying operating system and database environment, is now available in the AWS GovCloud (US) Regions.

Starting today, the AWS Application Discovery Service Agentless Collector adds support for routing all communication to AWS through either an HTTP or HTTPS proxy. This allows you to deploy the collector within environments without a direct route to AWS.

Today, we’re announcing the general availability of extended industrial protocol support for AWS IoT SiteWise. Through a new integration with AWS Partner Domatica, customers can now ingest data from 10 additional industrial protocols including Modbus (TCP & RTU), Ethernet/IP, Siemens S7, KNX, LoRaWAN, MQTT, Profinet, Profibus BACnet, and Rest interfaces, in addition to native OPC UA support. Previously, ingesting data from these protocols required acquiring, provisioning, and configuring infrastructure and middleware for data collection resulting in additional cost and time to value.

Amazon Simple Notification Service (Amazon SNS) First-In-First-Out (FIFO) topics now support 3,000 messages per second, per topic. All existing and future FIFO topics now have this new quota by default, with no configuration change required. To benefit from maximum throughput in FIFO topics where message order is strictly maintained within each message group, distribute your messages evenly over a large number of message group IDs, as messages from different message groups are delivered in parallel.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g, M7g, and R7g instances are available in AWS Region Canada (Central) and AWS Region Asia Pacific (Hyderabad). These instances are built with AWS Graviton3 processors and the AWS Nitro System. Graviton3 processors provide up to 25% better compute performance compared to AWS Graviton2 processors. The AWS Nitro System is a collection of AWS designed hardware and software innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. 

NICE DCV version 2023.1 introduces new features and enhancements, such as a new Windows display driver which optimizes the graphics pipeline and reduces the overall CPU usage. NICE DCV is a high-performance remote display protocol that is designed to help customers securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs.

Introducing News and Events in AWS Partner Central. The new feature curates top stories, announcements, and events in the Partner Central home page.

Amazon Redshift announces MaxRPU, a new compute cost control setting for Amazon Redshift Serverless. With MaxRPU, you can optionally specify an upper compute threshold to control data warehouse costs at any point in time by selecting the maximum compute level that Redshift Serverless can scale per workgroup.

AWS Lambda now supports Amazon Linux 2023 as both a managed runtime and a container base image. This runtime has a significantly smaller deployment footprint than Amazon Linux 2 runtimes, and provides updated versions of common libraries such as glibc. The Amazon Linux 2023 runtime will also be used as the basis for future Lambda runtime releases, such as Node.js 20, Python 3.12, Java 21, and .NET 8. For more information, see our blog post at Amazon Linux 2023 runtime now available on AWS Lambda.

AWS Lambda now makes it easy to monitor and troubleshoot Lambda function failures by reporting errors and timeouts during initialization and restore phases of the Lambda function lifecycle to Amazon CloudWatch Logs.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. 

Amazon Kinesis Video Streams now offers fully managed capabilities to stream video and audio in real-time from Web Real-time Communication (WebRTC) standards compliant cameras, IoT devices and browsers to the cloud for secure storage, playback and analytical processing. Customers can now use our enhanced WebRTC SDK and cloud APIs to enable real-time streaming as well as media ingestion to the cloud.

AWS Launch Wizard now allows you to deploy SAP applications using APIs in single-node, multi-node, and high availability architectures. This gives you the choice to use Launch Wizard APIs (through the AWS Software Development Kit (SDK) client or CLIs) or the existing console-based experience while still taking advantage of the built-in automation and best practices that Launch Wizard provides.

Amazon RDS (Relational Database Service) Performance Insights now allows you to export metrics dashboards from your Amazon RDS instance to Amazon CloudWatch. You can export both the pre-configured and custom metrics dashboards. With this feature, it is now easier to view and set alarms on Amazon RDS Performance Insights metrics from Amazon CloudWatch, and integrate these metrics with other Amazon CloudWatch metrics on the same dashboard with just a few clicks in the console.

Available today, AWS Audit Manager customers can now access a prebuilt standard framework to help gain visibility into how their generative AI implementation on Amazon Bedrock is working against AWS recommended best practices. With this framework, Amazon Bedrock customers can now start auditing their generative AI usage and automating evidence collection, providing a consistent approach for tracking AI model usage and permissions, flagging sensitive data, and alerting on issues.

Starting today, AWS Application Migration Service (AWS MGN) provides an action for Replatforming workloads using AWS App2Container (A2C). You can now use Application Migration Service to replatform applications running on migrated servers into Amazon ECS, Amazon EKS, and AWS App Runner. The new feature provides support for replatforming .NET and Java based applications, including containerizing .NET framework based applications to Windows containers, and replatforming JBoss, Apache Tomcat, Java, and .NET core applications to Linux containers. For each migrated server, you can generate application container images, Dockerfiles, and CloudFormation artifacts required to deploy to Amazon ECS, Amazon EKS, or AWS App Runner.

Amazon QuickSight is excited to announce the launch of FLOAT data type support for SPICE datasets. Before we enable FLOAT data type, SPICE only supports FIXED decimal data type. FIXED decimal data type provides the benefit of exact mathematical operations, but since it only supports four decimal places, and rounding while ingesting data and performing calculations, it causes accuracy and overflow problems. The new FLOAT, i.e. floating-point numeric data type, provides approximately 16 significant digits of accuracy. These significant digits can be on either side of the decimal point, thus allowing numbers with more accuracy as well as larger range. If users are working with very small numbers (close to zero), they can use approximately 15 digits to the right of the decimal point. This helps avoid the problem of truncation and is consistent with other products’ results. Additionally, with a maximum value of approximately 1.8*10^308, the possibility of an overflow error is effectively minimized. SPICE has added this data type without sacrificing performance, so customers can continue to experience the same super-fast performance they’ve come to expect. For further details, visit here.

AWS announces Amazon Aurora Optimized Reads for Aurora PostgreSQL, a new price-performance capability available on new r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance.

AWS App Runner expands availability to the AWS Europe (London), AWS Asia Pacific (Mumbai), and AWS Europe (Paris) regions, enabling customers to build, deploy, and run web applications and API services in AWS cloud, at scale, and without managing infrastructure.

Customers can now use Amazon Data Lifecycle Manager to automate pre-scripts and post-scripts on their Amazon EC2 instances to protect their workloads with application-consistent Amazon Elastic Block Store (EBS) Snapshots. This capability works in conjunction with AWS Systems Manager Agent and AWS Systems Manager Documents (SSM documents) and comes with AWS-provided templates to make it easy for customers to automate the creation of application-consistent EBS Snapshots, including for self-managed databases.

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. Starting today, Canvas supports advanced model build configurations such as selecting training method (Ensemble/Hyper parameter optimization) and algorithms, customizing training/validation data split ratio, and setting limits on autoML iterations and job run time, thus allowing users to customize model building configurations without having to write a single line of code. This flexibility can provide more robust and insightful model development. Non-technical stakeholders can use the no-code features with default settings, while citizen data scientists can experiment with various ML algorithms and techniques, helping them understand which methods work best for their data and optimize to ensure the model's quality and performance.

Today, AWS announces the general availability of scenarios and scheduled experiments for AWS Fault Injection Simulator (FIS).  Scenarios define events or conditions that customers can apply to test the resilience of their applications, such as the interruption of compute resources on which the application is running. Scenarios are created and owned by AWS, and minimize undifferentiated heavy lifting by providing you with pre-defined targets and fault actions (e.g., gradually increase CPU load from 90% to 100% for Amazon EC2 instances) for possible application impairments.

Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available, enabling near real-time analytics and machine learning (ML) using Amazon Redshift to analyze petabytes of transactional data from Amazon Aurora MySQL-Compatible Edition. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift. You don’t need to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations. Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now available for Amazon Aurora Serverless v2 and Provisioned and Amazon Redshift Serverless and RA3 instance types.

AWS Config announces new inventory and compliance dashboards for AWS Config aggregators, which offer essential insights like the 'Summary of Compliance by Resources', 'Top 10 accounts with noncompliant resources', 'Comparison of running vs. stopped EC2 instances by type', and 'EBS Volumes by volume type and size'.

Starting today, you can access recommendations in AWS Cost Explorer to help you purchase Amazon MemoryDB reserved nodes. MemoryDB reserved nodes allow you to save up to 55% over On-Demand node prices in exchange for a usage commitment over a one or three-year term. Now with these new recommendations, you can purchase MemoryDB reserved nodes in minutes, making it even easier to optimize your MemoryDB spend.

Amazon Relational Database Service (Amazon RDS) Database Activity Streams captures events from the database, encrypts them, and uploads the records to an Amazon Kinesis data stream within your account. The default behavior is that Database Activity Streams creates a Kinesis data stream in provisioned mode upon start. Starting today, once you enable Database Activity Streams, we will create a Kinesis data stream in on-demand mode instead of provisioned mode. This change will only apply to any new Database Activity Streams enablements. This will not affect existing Kinesis data streams. If you wish to move from on-demand mode to provisioned mode, you can do so through the Kinesis Console or APIs.

Today, AWS announces the ability for customers to enable Windows Amazon Machine Images (AMIs) to launch faster when the images are shared with them from another account. Prior to this, faster launching for Windows AMIs could only be enabled by the AMI owner, but now the recipient of the shared AMI can enable it as well and customize the parameters based on their need with a few simple actions. 

Amazon ElastiCache now supports network-optimized Graviton3-based C7gn nodes. ElastiCache C7gn nodes feature the new 5th generation AWS Nitro Cards and enable you to achieve the highest network bandwidth across ElastiCache node families for network-intensive workloads. 

Amazon Connect now offers a new flow block to enable persistent chats, making it easier to deliver long lasting chat experiences for your customers. Persistent chats enable customers to resume previous conversations with the context, metadata, and transcripts carried over, eliminating the need for customers to repeat themselves and allowing agents to provide personalized service with access to the entire conversation history.

Customers running applications with more than one containers on Amazon Elastic Container Service (ECS) with AWS Fargate can now leverage Seekable OCI (SOCI) to lazily load specific container images within the Amazon ECS task definition. This eliminates the need to generate SOCI indexes for smaller container images within the task definition, while still getting the benefits of SOCI with larger container images, improving the overall application deployment and scale-out time.

You can now create Apache Airflow version 2.7 environments and execute deferrable operators on Amazon Managed Workflows for Apache Airflow (MWAA). Apache Airflow 2.7 is the latest minor release of the popular open-source tool that helps customers author, schedule, and monitor workflows.

AWS Trusted Advisor now supports a new fault tolerance check for too many partitions per broker on Amazon Managed Streaming for Apache Kafka (Amazon MSK). AWS Trusted Advisor helps you optimize costs, increase performance, improve security and resilience, and operate at scale in the cloud.

Starting today, Amazon EC2 High Memory instances with 12TiB of memory (u-12tb1.112xlarge) are now available in Europe (Milan) Region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options.

AWS CodeBuild customers can now use AWS Lambda to build and test their software packages. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages.

Starting today, Amazon EC2 D3 instances, the latest generation of the dense HDD-storage instances, are available in the Europe (Zurich) region.

Amazon CloudWatch Container Insights now delivers enhanced observability for Amazon Elastic Kubernetes Service (EKS) with out-of-the-box detailed health and performance metrics, including container level EKS performance metrics, Kube-state metrics and EKS control plane metrics for faster problem isolation and troubleshooting.

Starting today, you can now integrate AWS Health events to receive operational and account information, prepare for scheduled changes, and manage events directly within Atlassian’s Jira Service Management (JSM) Cloud. AWS Health is the authoritative source of information about service events and planned changes affecting your AWS cloud resources. 

Starting today, you can now integrate AWS Health events to receive operational and account information, prepare for scheduled changes, and manage events directly within ServiceNow. AWS Health is the authoritative source of information about service events and planned changes affecting your AWS cloud resources. It also supports the organization view which allows you to receive a feed of health events across your organization by setting up one EventBridge rule and monitors AWS Health events with Amazon EventBridge.

Starting today, customers can use AWS Control Tower in the AWS Asia Pacific (Melbourne) Region. With this launch, AWS Control Tower is available in 28 AWS Regions and the AWS GovCloud (US) Regions. AWS Control Tower offers the easiest way to set up and govern a secure, multi-account AWS environment. It simplifies AWS experiences by orchestrating multiple AWS services on your behalf while maintaining the security and compliance needs of your organization. You can set up a multi-account AWS environment within 30 minutes or less, govern new or existing account configurations, gain visibility into compliance status, and enforce controls at scale.

AWS Lambda now supports up to 5x faster polling scale-up rate (adding up to 300 concurrent executions per minute) for spiky Lambda workloads configured with Amazon Simple Queue Service (Amazon SQS) as an event source using Lambda event source mapping or Amazon EventBridge Pipes. This enables customers building event-driven applications using Lambda and SQS queues (standard or first-in, first-out) to achieve more responsive scaling during a sudden burst of messages in their queues, and reduces the need to duplicate Lambda functions or SQS queues to achieve faster message processing.

Today, we are excited to announce the availability of VMware Cloud on AWS in Asia Pacific (Hyderabad). The addition of this region expands the availability of VMware Cloud on AWS to 26 regions globally, enabling more customers to accelerate their migration to the cloud.

Today, Amazon Simple Queue Service (SQS) announces an integration with Amazon EventBridge Pipes in the SQS service console, making it easier to send messages from your SQS queue to one of over 14 AWS service targets, including Amazon Kinesis Data Streams and Firehose, AWS Step Functions, Amazon SNS, Amazon ECS, Amazon EventBridge event buses, or another SQS queue. The EventBridge Pipes integration also supports the EventBridge API Destinations target which uses API calls to send your SQS messages to software as a service (SaaS) applications or your own applications within or outside AWS.

Today, Amazon Simple Email Service (SES) extended the duration during which customers can access their engagement metrics in the Virtual Deliverability Manager dashboard. Now customers can see delivery and engagement rates for up to 60 days prior, helping customers monitor sending performance and troubleshoot unexpected drops in delivery and engagement rates. This extra history makes it easier to identify trends, compare unusual events with a broader baseline, and reduce the timing dependencies for identifying problems requiring investigation.

EC2 Image Builder, a service that makes it easier and faster to build, customize and maintain Virtual Machine images, now supports additional Operating Systems - Amazon Linux 2023 and Ubuntu 22.04 Long Term Support (LTS). Customers can use these new managed images as a base image for their image pipelines to create and manage custom images, similar to the process for supported Windows and Linux operating systems.

AWS Marketplace launched Amazon EventBridge event that informs AWS Marketplace sellers, including ISVs and Channel Partners, about the status and details of their AMMP and Catalog API requests. With this launch, selling partners can use these events to setup automated notifications that trigger upon completion of a request, thereby saving themselves follow-up actions to check the status of their requests.

Introducing new Search feature in AWS Partner Central, allowing AWS Partners to discover and browse content across AWS Partner Central. Search is now globally available to all AWS Partners.

AWS App Runner now supports IPv6-based traffic for public App Runner service endpoints, allowing customers to access their App Runner service(s) endpoint over IPv6. This helps customers meet IPv6 compliance requirements, and removes the need for handling address translation between IPv4 and IPv6.

Introducing an improved user experience for AWS Partners to easily navigate content in AWS Partner Central. The new ‘Guides’ category in the Resource tab, provides partners self-service curated content for various business needs. The table of contents make it easy to find content, training and other enablement resources directly within Partner Central. This is available to all partners globally in AWS Partner Central.

Today, Amazon Kinesis Data Streams announces an integration with Amazon EventBridge Pipes in the Kinesis Data Streams service console, making it easier to send records from your stream to one of over 14 AWS service targets, including Amazon SQS, AWS Step Functions, Amazon SNS, Amazon ECS, Amazon EventBridge event buses, or another Kinesis Data Stream. The EventBridge Pipes integration also supports the EventBridge API Destinations target which uses API calls to send your Kinesis Data Stream records to software as a service (SaaS) applications or your own applications within or outside AWS.

AWS Marketplace now features a new self-service listing experience in the AWS Marketplace Management Portal for container products. The new feature enables AWS Marketplace sellers to publish and update container listings quickly and easily. This feature enables you to directly interact with AWS Marketplace catalog to create, preview, test, and update your product listings without needing AWS Marketplace to manually process your inputs.

You can now launch Amazon SageMaker Data Wrangler from Amazon EMR Studio for low code data preparation for machine learning (ML). Amazon EMR is the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. The new integration provides a simplified experience to launch SageMaker Data Wrangler from EMR Studio to prepare data for ML without writing code.

AWS Identity and Access Management (IAM) Access Analyzer policy generation has expanded support to identify actions of over 200 AWS services to help developers create fine-grained policies based on their AWS CloudTrail access activity. The new service additions include actions from services such as AWS Auto Scaling, Amazon Redshift, and Amazon Route 53. When developers initiate policy generation, IAM Access Analyzer gets to work and generates a policy by analyzing their AWS CloudTrail logs to identify actions used. For example, developers building applications might want to grant the applications permissions to access AWS resources. They can use policy generation to create a fine-grained policy and limit application role’s permissions to only those necessary. The generated policy provides developers a starting point and makes it easier for developers to grant only the required permissions to run their workloads.

Today, AWS announces the general availability of Finch, an open source command line tool that allows developers to build, run, and publish Linux containers on macOS. With this release, we are also launching a website that should help you find all the Finch-related information, tutorials, and other resources to get started with Finch.

Today, AWS AppFabric announces support for two new software as a service (SaaS) applications: GitHub and ServiceNow. Starting now, IT administrators and security analysts can use AWS AppFabric to aggregate enriched and normalized SaaS audit logs from these two additional applications, or audit end-user access of each application. This launch expands AWS AppFabric supported applications used across an organization.

Starting today, AWS Global Accelerator supports cross-account endpoints, allowing you to access endpoints in multiple accounts using a single accelerator

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 5.7.44. We recommend you upgrade to the latest minor versions to benefit from the security patches, bug fixes, and performance improvements added by the MySQL community.

Starting today, AWS Global Accelerator extends dual-stack accelerators support that enables you to route IPv6 traffic to Regional Network Load Balancer endpoints, in addition to dual-stack Application Load Balancer (ALB) and EC2 endpoints. 

AWS Identity and Access Management (IAM) now provides action last accessed information for more than 60 additional services to help you refine the permissions of your IAM roles. You can use action last accessed information to identify unused permissions and refine the access of your IAM roles to only the actions they use. With this release, you can review action last accessed information for services such as AWS Auto Scaling, Amazon Redshift, and Amazon Route 53 to better adhere to the best practice of least privilege.

Today, we are excited to announce Systems Manager Document Favorites is available in the AWS GovCloud (US) Regions. Favorites is a quick way for customers to find and execute their most important and frequently used documents and runbooks. Documents and runbooks define the actions that Systems Manager performs on your managed instances and other AWS resources. Now, you can select up to 20 of your favorite Systems Manager documents or runbooks per category that will appear in a centralized favorites tab in the Systems Manager Automation or Documents consoles.

Starting today, demand planners can configure an auto recurring (i.e., perpetual) forecast at the desired scheduled frequency without any manual intervention by the demand planner. Previously, demand planners had to manually initiate a planning cycle. Now, demand planners as part of their forecast configuration setting can define the cadence at which the forecasts need to be generated and published to align with timeline needs, such as downstream supply and distribution planning. For example, a demand planner can set the forecast interval (weekly or monthly) as well as the specific day, time, and time zone. Based on the defined settings, the current planning cycle will be published to Amazon S3 and a new planning cycle will begin.

Today, AWS announces 4 new user roles available in Amazon CodeCatalyst: space Power user, space Limited access, project Reviewer, and project Read only. The Power user role has permissions to create projects and add AWS accounts. The space Limited access role is the default role for space members and has permissions to list space projects. The project Reviewer role has permission to use CodeCatalyst issues and approve pull requests, but it does not have source code or workflow change permissions. The Read only role gives read only access to project resources, with no create, update or delete permissions.

Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today we are launching brevity, a new Amazon Translate feature customers can use to shorten translation lengths compared to Translate’s default output. Brevity customization reduces the cost and effort required to manually adjust lengths of machine translated output.

Today, AWS Marketplace announces the general availability of the agreements and renewals Amazon QuickSight dashboard for sellers. AWS Marketplace sellers can now access the dashboard under the Insights > Sales operations tab of the AWS Marketplace Management Portal (AMMP).

Amazon Connect now provides contact records and real-time contact events for calls and transfers made to external third-party phone numbers. These new contact records can be used for reporting, billing reconciliation, and analytics. Contact events for third-party calls can be used to create analytics dashboards to monitor and track real-time contact lifecycle activity (e.g., calls connected to third-party). To learn more about these new contact records and events, and how you can stream them to your analytics applications, see our documentation for contact records and contact events.

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML. You can use EC2 Capacity Blocks to reserve GPU instances in an Amazon EC2 UltraCluster for a future date for the amount of time that you require to run your machine learning (ML) workloads. This is an innovative way to reserve capacity where you can schedule GPU instances to be available on a future date for just the amount of time that you require those instances. 

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the October 2023 Release Update (RU) for Oracle Database versions 19c and 21c.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports db.t3.micro instances in all commercial regions and the AWS GovCloud (US) Regions. This provides you with more options in addition to the db.t2.micro instance in the current AWS Free Tier for new AWS customers.

Amazon Redshift is announcing the general availability of Multi-AZ deployments for RA3 clusters. Redshift Multi-AZ deployments support running your data warehouse in multiple AWS Availability Zones (AZ) simultaneously and continue operating in unforeseen failure scenarios. A Multi-AZ deployment raises the Redshift Service Level Agreement (SLA) to 99.99% and delivers a highly available data warehouse for the most demanding mission-critical workloads.