July 2023

Amazon Connect now supports archiving and deleting flows from the flow designer UI, making it easier to manage flows that are not in use or no longer needed. For example, flows used only during certain times of the year can be archived when not in use and then unarchived when needed. When a flow has been archived, you can then permanently delete the flow so it is no longer available within your list of flows.

Amazon Connect scheduling now allows contact center managers to automatically generate agent schedules with a combination of fixed and flexible working days each week, i.e. agents will have certain mandatory work days while other days are scheduled based on demand. Before this launch, managers had to manually adjust a subset of agent schedules to align with their flexible work contracts and regional labor laws. With this launch, the system automatically proposes flexible schedules allowing managers to create more optimized labor/union compliant agent schedules, freeing up valuable time for more important tasks.

Amazon Connect scheduling now allows managers to generate agent schedules with an appropriate number of activities including breaks or meals, based on the duration of agent shifts. Before this launch, schedules were generated with a fixed set of shift activities, leading to numerous shifts needing time consuming manual adjustments based on agent’s work duration. With this launch, Amazon Connect scheduling automatically generates the required number of breaks and meals according to configured inputs reflecting shift durations and labor/union labor rules, saving time for managers.

Amazon Connect now supports restricting the use and access of attributes to a single flow. Now, you can granularly control when an attribute is associated with a contact (and shows up in the contact record) or if it can only be accessed by a specific flow (used only when that flows is executing a customer experience). For example, if your flow is automatically authenticating your customer’s identity using personally identifiable information (PII), you can use flow attributes to prevent the PII information from showing up in contact records or to an agent.

Starting today, Amazon Aurora MySQL-Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.28. In addition to several security enhancements and bug fixes, MySQL 8.0.28 includes several improvements, such as Instant DDL support for Rename column operations, support for multi-threaded DDL operations, support for TLS v1.3 protocol, and performance schema monitoring enhancements.. For more details, refer to the Aurora MySQL 3 and MySQL 8.0.28 release notes.

AWS NAT Gateway is now available in the AWS US West Phoenix Local Zone. AWS Local Zones is a type of AWS infrastructure deployment that places AWS compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists today.

Amazon Connect scheduling now offers new time off balance and group allowance features empowering contact center managers and agents to handle time offs more efficiently. Before this launch, managers had to manually cross-verify time off balances before approving or declining requests, and agents had to contact their managers via email or third party tools to request or change their time off schedule. With this launch, managers can easily import agent time off balances and group allowances in bulk from third party HR systems (for e.g., 120 hours vacation time, 40 hours sick time), and select either an automated or manual approval workflow for their groups. Agents can request time off and receive automatic approvals (or declines) based on their time off balances and group allowances in addition to other time off rules.

Amazon Connect flow designer now includes a toolbar with shortcuts to new editing capabilities such as undo (including a history of previous actions) and redo, along with existing shortcuts such as copy and paste. You can also now add notes to a flow, allowing you to document things like what the flow is doing or a to-do list of what updates you want to make. You can attach notes to a specific flow block and search notes using the toolbar.

Starting today, Local Write Forwarding is generally available for Amazon Aurora MySQL-Compatible Edition 3 (with MySQL 8.0 compatibility). This new capability makes it simple to scale read workloads which require read after write consistency. Customers can now issue transactions containing both reads and writes on Aurora read replicas and the writes will be automatically forwarded to the single writer instance for execution. Applications requiring read scale can utilize up to 15 Aurora Replicas for scaling reads without the need to maintain complex application logic that separates reads from writes. Check out this blog to find out how local write forwarding can help reduce the complexity of your application code.

Amazon Connect now supports custom flow block titles that make it easy to identify and distinguish blocks within your flow. Custom flow block titles can be set within the flow designer UI or via API. For example, you could rename a “Play Prompt” flow block to “Welcome message” or a “Get customer input” flow block to “Hotel booking Lex bot”. Custom defined flow block titles also show up in CloudWatch logs making it easier to diagnose where errors may be occurring.

Amazon Inspector now provides enhanced vulnerability intelligence as a part of its findings. The enhanced vulnerability intelligence includes names of known malware kits used to exploit a vulnerability, mapping to MITRE ATT&CK® framework, the date Cybersecurity and Infrastructure Security Agency (CISA) added the vulnerability to Known Exploited Vulnerabilities Catalog (KVEC), Exploit Prediction Scoring System (EPSS) score, and evidence of public events associated with a vulnerability. This expands the currently provided vulnerability intelligence such as Common Vulnerability Scoring System (CVSS) score and known public exploit information. Inspector collects this information from internal Amazon research, CISA, and our partner, Recorded Future. You can access the enhanced vulnerability intelligence in the finding details within in the Amazon Inspector console

Today, AWS IoT Core announced the support for new algorithms for certificate signing and key generation, expanding the list of already supported asymmetric X.509 client certificate signature schemes. AWS IoT Core is a managed service that allows customers to connect billions of Internet of Things (IoT) devices to AWS and uses X.509 certificates as one of the means to authenticate client and device connections to AWS cloud. The support for Rivest Shamir Adleman Signature Scheme with Appendix based on the Probabilistic Signature Scheme (RSASSA-PSS) signing and P-521 elliptic curve key algorithms, provide developers more flexibility to strengthen the security posture of their IoT solutions and comply with organization’s specific cryptographic standard compliance requirements.

You can now view ‘Balance Due’ for an invoice and the ‘Invoice Amount’ in the AWS Billing console. The ‘Balance due’ column reflects the total amount outstanding for each invoice, while the ‘Invoice Amount’ reflects the value of the invoice when the invoice was issued to you. The Balance due information is updated periodically, once the funds are realized by AWS.

Amazon EMR Serverless is a serverless option that makes it simple for data analysts and engineers to run open-source big data analytics frameworks like Apache Spark and Apache Hive without configuring, managing, and scaling clusters or servers. Starting today, you can call the EMR Serverless APIs to view the Application UIs e.g. the live Spark UI or Tez UI for running jobs and the Spark History Server or the persistent Tez UI for completed jobs.

Today, AWS Clean Rooms launches two new capabilities that give customers flexibility to generate richer insights: custom analysis rule and analysis templates. These capabilities enable customers to bring their own custom SQL queries into an AWS Clean Rooms collaboration based on their specific use cases. With the custom analysis rule, customers can create their own queries using advanced SQL constructs, as well as review queries prior to their collaboration partners running them. This workflow gives customers built-in control of how their data is used in collaborations upfront, in addition to reviewing query logs after analyses are complete. Using analysis templates, customers can create queries with parameters that provide reusability and flexibility to those running queries in a collaboration. This helps customers expand and automate types of analyses they run frequently with multiple partners, minimize the need to write new SQL code when analyzing collective data sets. 

AWS CloudFormation launches a new deletion policy called RetainExceptOnCreate that provides customers additional control over CloudFormation behavior when resources are deleted from stacks. Customers use deletion policies to preserve or backup resources during accidental stack deletions. Today, customers can mark resources with a deletion policy of Retain, Snapshot, or Delete. Now, customers can use RetainExceptOnCreate to protect in-use resources from accidental deletion without preserving resources that have not served traffic. This allows customers to reduce manual intervention during retries of stack operations.

We are excited to announce that Amazon EMR on EKS is now available in the Africa (Cape Town) and Europe (Milan).

Customers can now use Amazon Data Lifecycle Manager in the AWS Asia (Hyderabad) Region to automate the creation, sharing, copying, and retention of Amazon EBS Snapshots and EBS-backed AMIs via policies. Data Lifecycle Manager eliminates the need for complicated custom scripts to manage your EBS resources, saving you time and money.

AWS Launch Wizard now supports deployment of SAP HANA and Microsoft SQL Server workloads in Asia Pacific (Hyderabad)and Middle East (UAE) Regions. We are also announcing support for additional languages within AWS Launch Wizard, including Chinese (traditional and simplified), Portuguese (Brazil), German, Spanish, French, Indonesian, Italian, Japanese, and Korean.

AWS Wickr now offers Data Retention that extends to both internal and external communications in a Wickr network. A Wickr network administrator can configure and apply Data Retention to all in-network conversations. This includes shared media and files, as well as conversations with guest users, external teams, and other partner networks to help meet internal, legal, and regulatory requirements.

Amazon Route 53 offers domain name registration services, previously supporting 315 Top-Level Domains (TLDs) while providing easy integration with other AWS services. We are excited to announce the recent addition of 14 additional TLDs that you can now register with Route 53: .actor, .airforce, .bet, .degree, .games, .gives, .gmbh, .group, .press, .site, .space, .tech, .store, and .wine. Common use cases for some of these new TLDs include the following:

Today, Amazon Web Services announces support for deploying to Kubernetes clusters running on Elastic Kubernetes Service from an Amazon 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 “Deploy to Kubernetes cluster“ action to a workflow, providing a simple and repeatable process for deploying updates to Kubernetes clusters running on EKS.

Amazon SageMaker Studio launched support for the ml.G5 GPU instance family in the South America region (São Paulo). Customers using ml.G5 instances in Amazon SageMaker Studio Notebooks can leverage up to 3.3x faster performance for machine learning training compared to ml.G4dn instances. This makes them a high performance and cost-efficient solution for interactive model training for use cases such as generative AI foundation model tuning, natural language processing, computer vision, and recommender engines.

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C7gd instances, Amazon EC2 M7gd instances, and Amazon EC2 R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. These instances are powered by AWS Graviton3 processors, delivering up to 25% better performance over Graviton2-based instances. These Graviton3-based instances feature the latest DDR5 memory, which provides 50% more memory bandwidth than DDR4. These instances are built on the AWS Nitro System and are great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. C7gd instances are ideal for high performance computing (HPC), CPU-based machine learning (ML) inference, and ad serving. M7gd instances are ideal for general purpose workloads, such as application servers, microservices, and gaming servers. R7gd instances are ideal for memory-intensive workloads such as open-source databases, and real-time big data analytics.

Today, we announce the general availability of AWS Database Encryption SDK, an upgrade to the existing Amazon DynamoDB Encryption Client, which enables you to include client-side encryption in your DynamoDB workloads. 

Amazon EC2 adds templates for Amazon Elastic Container Service (Amazon ECS) to the Spot Blueprints portfolio. With Spot Blueprints, you can generate a reusable quick start template as CloudFormation or Terraform, based on your workload, and use the template to configure a compute environment using EC2 Spot Instances. This saves you time learning to use Spot Instances with services like Amazon ECS and start accessing the savings and scale that Spot Instances offer for interruptible workloads. 

Today, Amazon Simple Queue Service (SQS) announces a preview of JSON protocol support, 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.

AWS Lake Formation is launching a Read-Only Administrator role which enables customers to add a Data Lake Administrator role with read-only permissions for Glue Data Catalog metadata and Lake Formation permissions. Previously, Data Lake Administrators could perform actions on the Glue Data Catalog and Lake Formation permissions, including modifying the Lake Formation grants and LF-Tags. Now, you can add an IAM role or user to be a Read-Only Administrator. Using this role, Read-Only Administrators can access metadata and permissions without making changes. This allows Read-Only Administrators to search metadata without needing access the data and to validate permissions without requiring access to make changes to permissions.

Today, we are announcing the availability of VMware Cloud on AWS in AWS Europe (Zurich) region and AWS Asia Pacific (Melbourne) region. The addition of these 2 regions expands the availability of VMware Cloud on AWS to a total of 25 regions globally, enabling customers to have a faster and more efficient way to migrate to the cloud.  

Public IP Insights is an Amazon VPC IP Address Manager (IPAM) feature that provides a unified view of all public IPv4 addresses, making it easier for you to monitor, analyze and audit public IPv4 addresses used across AWS services, in your AWS account.

AWS Health announces support for delegated administrator, a feature of AWS Organizations that allows you to delegate an account other than the management account to view aggregated AWS Health events on the AWS Health Dashboard or programmatically via AWS Health API. AWS Health is the authoritative source of information about service events and planned changes affecting your AWS cloud resources.

We’re excited to announce that developers can now launch simulations with multiple spatial domains to separate different types of simulation logic and better allocate compute resources.

We are happy to announce that AWS Glue, a serverless data integration service, is now available in the AWS Asia Pacific (Hyderabad) and Asia Pacific (Melbourne) Regions.

Amazon Relational Database Service (Amazon RDS) Custom for Oracle, is a managed database service for legacy, custom, and packaged applications that require access to the underlying operating system and database environment. Starting today, you can deploy RDS Custom for Oracle using AWS CloudFormation templates. AWS CloudFormation simplifies provisioning and management of resources on AWS.

We’re excited to announce the release of two new AWS SimSpace Weaver features.

Today, AWS announces the general availability of a new Local Zone in Phoenix, Arizona. This new AWS Local Zone comes with Amazon EC2C6i, M6i, R6i and C6gn instances and Amazon EBS volume types gp2, gp3, io1, sc1, and st1. You can also access Amazon ECS, Amazon EKS, Application Load Balancer, AWS Direct Connect and NAT Gateway in this new Local Zone to support a broad set of workloads at the edge.

We are excited to announce that Amazon GameLift now supports both the .NET Standard and .NET Framework profiles in Unity with the latest update to the 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 Server SDK now supports Unity 2022.3, Unreal 4.26, Unreal 5.1, Go language, and custom C++ and C# engines.

Today, Amazon Elastic Container Service (Amazon ECS) improved the console experience for task definitions workflows. Customers can now use a single page layout to create new and revised task definitions, and also to configure functionality such as container log routing, firelens, container health checks, and more.

AWS Lambda now supports creating serverless applications using Python 3.11. Developers can use Python 3.11 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 Python 3.11 with Lambda@Edge, allowing you to customize low-latency content delivered through Amazon CloudFront. Powertools for AWS Lambda, a developer toolkit to implement serverless best practices and increase developer velocity, also supports Python 3.11. 

Today, we launched an in-line editing experience for partner originated opportunities imported to the APN Customer Engagements (ACE) pipeline manager via the bulk channel. Bulk import helps AWS Partners maximize efficiency when utilizing the ACE Pipeline Manager by allowing users to submit up to 250 opportunities at a time.

We are happy to announce that starting today, you can now retrieve secrets from AWS Secrets Manager on Amazon EMR Serverless from your Spark and Hive jobs. Amazon EMR Serverless is a serverless option that makes it easy for data analysts and engineers to run open-source big data analytics frameworks such as Apache Spark and Apache Hive without configuring, managing, and scaling clusters or servers.

Amazon MQ now supports the ability for customers to create and apply configurations to their RabbitMQ broker on Amazon MQ. This feature allows you to define the RabbitMQ delivery acknowledgement timeout (consumer_timeout) value and enable operator policies using the RabbitMQ configuration format (Cuttlefish). You can now exert greater control over your RabbitMQ broker and fine tune the performance of your consumer applications or enable and manage high availability operator policies directly through configuration.

Today, AWS announces the general availability of Amazon Managed Blockchain (AMB) Access and AMB Query. These two services help developers seamlessly interact with public blockchains so they can build scalable applications quickly and securely.

AWS Enterprise On-Ramp is now generally available in the AWS GovCloud (US-Gov-East and US-Gov-West) Regions. AWS customers and AWS Partners who operate in the AWS GovCloud (US) Regions can now access an expanded support portfolio including Enterprise On-Ramp, enabling faster cloud adoption, accelerated application migration, and greater cost efficiencies.

Starting today, the general-purpose Amazon EC2 M6a instances are now available in Asia Pacific (Hyderabad) region. M6a instances are powered by third-generation AMD EPYC processors with an all-core turbo frequency of 3.6 GHz. M6a instances deliver up to 35% higher price performance compared to M5a instances, and offer 10% lower cost than comparable x86-based EC2 instances. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor that delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. 

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5g instances powered by AWS Graviton2 processors and featuring NVIDIA T4G Tensor Core GPUs are available in Europe(Spain) region. G5g instances can be used for graphics intensive and machine learning workloads.

Amazon MQ now provides support for RabbitMQ version 3.11, a new minor version release, which includes several fixes and improvements to the previous versions of RabbitMQ supported by Amazon MQ - 3.8, 3.9, and 3.10. With RabbitMQ version 3.11, Amazon MQ is also introducing a default operator policy on each virtual host with high availability properties enabled.

Amazon Connect Customer Profiles now supports rule-based identity resolution to match and merge similar profiles, helping companies maintain accurate customer information and deliver more personalized customer interactions via agents and automated experiences.

A New minor version of Microsoft SQL Server is now available on Amazon RDS for SQL Server, offering performance and security fixes. Amazon RDS for SQL Server supports a new minor version for SQL Server 2019 on the Express, Web, Standard, and Enterprise Editions.

Starting today, Amazon Aurora MySQL-Compatible Edition 2 (with MySQL 5.7 compatibility) will support MySQL 5.7.40. In addition to several security enhancements and bug fixes, this release is fully compatible with MySQL 5.7.40. Previous Aurora MySQL 2.x versions were compatible with MySQL 5.7.12. For more details, refer to the Aurora MySQL 2 and MySQL 5.7.40 release notes.

The contact center industry is expanding to meet the needs of their customers. With the rapid growth seen in the industry, more diverse and scalable solutions and products are needed. Essential to supporting the customer and consumer experience is supporting that growth with AWS integrations. The contact center industry can be complex, often addressing multiple needs by customers. Whether it is investments in CRM, advanced workforce engagement or compliance solutions, it’s important that customers know that their investment in Amazon Connect is secure. Validated AWS Partners in the Amazon Connect Ready specialization provide software solutions through Amazon Connect.

Amazon Bedrock now supports agents, a new, fully managed capability, that enables generative AI applications to complete tasks in just a few clicks – based on organization data and user input without any manual code. Agents for Bedrock orchestrate interactions between FMs, data sources, software applications, and users and automatically execute APIs. Developers can easily integrate the agents and accelerate delivery of generative AI applications saving weeks of development effort.

Starting today, AWS Elastic Disaster Recovery (DRS) is available in 5 additional Regions: Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), and Middle East (UAE).

Amazon Relational Database Service (Amazon RDS) now supports a progress indicator for improved visibility into the storage optimization process. With the progress indicator, you get better visibility into the progress of storage optimization process such as scaling up of storage sizes and changing the storage volumes.

Amazon Relational Database Service (RDS) for Oracle now supports version 23.1 of Oracle Application Express (APEX) for the 19c & 21c versions of Oracle Database. Using APEX, developers can build applications entirely within their web browser. To learn more about the latest features of APEX 23.1, please refer to Oracle’s documentation.

AWS CloudFormation announces looping capability with Fn::ForEach intrinsic function. With Fn::ForEach, you can replicate parts of your templates with minimal lines of code. You can use Fn::ForEach to simplify your template layout and make it easier and faster for you and your peers to review your code. Fn::ForEach helps reduce human errors such as updating wrong properties or missing out on updating multiple target properties in your template.

Starting today, the Stable Diffusion XL 1.0 (SDXL 1.0) foundation model from Stability AI is available in Amazon SageMaker JumpStart, a machine learning (ML) hub that offers pretrained models, built-in algorithms, and pre-built solutions to help you quickly get started with ML. You can deploy and use SDXL 1.0 with a few clicks in SageMaker Studio or programmatically through the SageMaker Python SDK.

Today, AWS announced the opening of a new AWS Direct Connect location within the Cirion data center in Lima, Peru. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones.

Starting today, you can enable ROSA from the AWS Console and launch ROSA clusters in the Asia Pacific (Hyderabad) Region. 

Today, we are excited to announce AWS HealthScribe, a new HIPAA-eligible service designed to help healthcare software vendors build clinical applications that automatically generate preliminary clinical notes by analyzing patient-clinician conversations. With AWS HealthScribe, you can integrate conversational and generative AI in your application to accelerate clinical documentation workflow and enhance the consultation experience: no machine learning expertise required.

Today, AWS announces the general availability of AWS Entity Resolution, a configurable, machine learning (ML)–powered service that helps organizations match and link related records stored across multiple applications, channels, and data stores. You can get started in minutes using entity resolution workflows that are flexible, scalable, and seamlessly connectable to your existing applications, without any expertise in entity resolution or ML.

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by the latest NVIDIA H100 Tensor Core GPUs. These instances deliver the highest performance in Amazon EC2 for deep learning and high performance computing (HPC) applications. They help you accelerate your time to solution by up to 6x and lower cost to train ML models by up to 40% compared to previous-generation GPU-based instances.

Today, AWS Identity and Access Management (IAM) Roles Anywhere released credential helper version 1.0.5 to include support for X.509 certificates and private keys that are stored in macOS and Windows certificate stores. IAM Roles Anywhere credential helper is a tool that manages the process of signing the CreateSession API with the private key associated with an X.509 end-entity certificate and calls the endpoint to obtain temporary AWS credentials. With this release, you can now use IAM Roles Anywhere credential helper to delegate signing operations to keys stored within those OS-specific certificate stores, without those keys ever leaving those stores; which can improve your security posture. In Windows, both CryptoAPI and Cryptography API: Next Generation (CNG) are supported; in macOS, Keychain is supported. 

Today, we are excited to announce Amazon Transcribe Toxicity Detection, an ML-powered, voice-based toxicity detection capability, which leverages both audio and text-based cues to identify and classify toxic content. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. In addition to text, Transcribe Toxicity Detection uses speech cues, such as tone and pitch, to hone in on toxic intent in speech. Toxic content is flagged and classified across seven categories including sexual harassment, hate speech, threat, abuse, profanity, insult, and graphic. This allows moderators to take focused action rather than reviewing entire conversations. 

Today, Amazon Elastic Container Service (ECS) launched integrated service discovery in Middle East (UAE), Europe (Spain), Europe (Zurich), Asia Pacific (Hyderabad) and Asia Pacific (Melbourne) AWS Regions.

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

Amazon OpenSearch Service now offers a simple, scalable, and high-performing vector engine for Amazon OpenSearch Serverless. Your developers can use this vector engine to build machine learning (ML)–augmented search experiences and generative artificial intelligence (AI) applications without having to manage the vector database infrastructure. You can rely on the vector engine for a cost-efficient, secure serverless environment, which will help your developers seamlessly transition from application prototyping to production.

Enterprises undergoing digital transformation often turn to AWS partners with the expertise of running computing workloads in containers. They are looking for partners who can assess their IT environment, consult on potential application migration from on-premise, refactor from running on single compute instances, integrate with other AWS services or software vendors, help with workload deployment, and operate/optimize the service on their behalf. Amazon ECS and AWS Fargate provide scalable, reliable, and secure container orchestration for both Managed and Serverless approaches.

Today, Amazon AppStream 2.0 announces Graphics G5 instances, which are built on the EC2 G5 family, designed to cater to graphics-intensive applications and machine learning workloads. Amazon EC2 G5 instances feature NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. These instances can be used for graphics-intensive applications, machine learning inference, and deliver higher performance for training simple to moderately complex machine learning models when compared to Amazon EC2 G4dn instances.

The Amazon Chime SDK now provides additional options to customize the layout of video sent to streaming services or captured to Amazon Simple Storage Service (S3). Amazon Chime SDK lets developers add real-time audio, video, and screen share to their web and mobile applications. Starting today, developers have more flexibility to tailor the composited layout to suit their use case with either landscape or portrait orientation and stylize video tiles with borders, active speaker highlight, configurable aspect ratio and corner radius.

Today, AWS IoT Core announces the general availability of MQTT support for Device Location. IoT Core Device Location feature allows customers to obtain devices’ location data and build location based applications even when devices don’t have a built in GPS. With IoT Core Device Location feature, customers can use advanced cloud based location solvers, such as Wi-Fi scan, Cellular scan, Global Navigation Satellite System (GNSS) scan, and reverse IP look-up to determine geo-coordinates of their IoT devices for use cases such as map visualization, historical route tracking, and Geo-fencing.

Today, AWS announces the general availability of AWS HealthImaging, a new HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images at petabyte scale. With HealthImaging, you can run your medical imaging applications at scale from a single, authoritative copy of each medical image in the cloud, while reducing infrastructure costs.

Amazon EMR Serverless is a serverless option that makes it simple for data analysts and engineers to run open-source big data analytics frameworks like Apache Spark and Apache Hive without configuring, managing, and scaling clusters or servers. Starting today, you can store logs for your EMR Serverless Spark and Hive applications in Amazon CloudWatch.

Amazon Web Services customers can now get detailed health metrics and analysis of their multi-application deployments residing in the same instance with Amazon CloudWatch Application Insights. CloudWatch Application Insights helps customers gain actionable insights for their application environment and AWS resources by making it easy to set up and monitor applications, recognize problems, and use data to make decisions. 

Starting today, customers can easily understand and validate their Savings Plans recommendations through new visual graphs. The new hourly graphs show On-Demand spend alongside the recommended Savings Plans commitment, providing insight into estimated savings, Savings Plans coverage, and Savings Plans utilization. This helps customers understand how their Savings Plans apply to each hour of spend without having to invest time and resources in building models to analyze their spend.

Amazon QuickSight launches the Analysis menu for enhanced navigation and efficiency across Analysis Experience. The Analysis menu provides user-friendly interface with a well-organized layout, bringing together all analysis features in one menu. This streamlined organization increases the ease of finding and using different features, thereby speeding up the dashboard creation process and improving the overall efficiency for Authors.

AWS Elemental MediaLive is a broadcast-grade live video processing service. It lets you create high-quality live video streams for delivery to broadcast televisions and internet-connected multiscreen devices, like connected TVs, tablets, smartphones, and set-top boxes.

Amazon SageMaker Canvas now provides the ability to train machine learning (ML) models with different objective metrics, allowing you to gain a more comprehensive understanding on the model's strengths and weaknesses. SageMaker Canvas is a visual interface that enables business analysts and citizen data scientists to generate accurate ML predictions on their own — without requiring any ML expertise or having to write a single line of code.

Amazon SageMaker Canvas now supports sharing machine learning (ML) models with Amazon QuickSight, enabling analysts to build models in Canvas and generate predictions to build dashboards in QuickSight. This extends the ML/Analytics integrated solution between Canvas and QuickSight for analysts to build models, generate predictions, enrich them with interactive dashboards, and use insights for effective business decisions, without writing a single line of code. 

Amazon Personalize launches a new integration with self-managed OpenSearch that enables customers to personalize search results for each user and assists in predicting their search needs. The Amazon Personalize Search Ranking plugin within OpenSearch helps customers to leverage the deep learning capabilities offered by Amazon Personalize and add personalization to OpenSearch search results, without any ML expertise.

Amazon QuickSight launches new API capabilities that allow you to programmatically export Paginated PDF Reports and CSV content. With these new APIs, you can export and customize content by passing parameters and session tags for Anonymous users. Optionally as part of the API call you can specify your own S3 destination to where the content should be exported.

Amazon SageMaker Canvas now supports five new data transforms, enabling you to better prepare and analyze your data before building machine learning (ML) models. Data is the foundation of machine learning and transforming raw data to make it suitable for ML model building and generating predictions is key to better insights. Starting today, SageMaker Canvas allows you to change the type of data in your columns between numeric, text, and datetime, while also displaying the associated feature for that data type such as binary and categorical. This gives you the flexibility to manually change the type of data in your columns based on the features. The ability to choose the right data type ensures data integrity and accuracy prior to building ML models. As an example, using a datetime data type ensures only valid dates are stored in that particular column. 

Amazon EMR is excited to announce a new feature that enables user authentication to EMR on EC2 clusters using Lightweight Directory Access Protocol (LDAP) based credentials. This feature allows administrators to configure EMR on EC2 clusters to authenticate corporate identities in their Active Directory (AD) using LDAP. With this launch, AD users are synced to the EMR on EC2 cluster automatically when LDAP authentication is enabled. This simplifies authentication to EMR clusters for administrators by eliminating the manual steps to sync users and/or implementing application-specific LDAP configuration. 

Starting today, customers can choose to automatically associate all newly created accounts (or any accounts invited to their AWS Organization) with an AWS Billing Conductor billing group. By enabling auto-account association, customers can reduce the steps needed to implement a custom chargeback model. For example, organizations can use the feature to automatically associate all newly created accounts with a default billing group, ensuring all accounts are included in their internal chargeback workflow. Partners can use the feature to automatically associate all new accounts to a default billing group, allowing them to bill their customers for all relevant usage without missing any charges.

Today, Amazon Web Services (AWS) introduces support for Network Load Balancers (NLBs) as a supported resource type in Amazon CloudWatch Internet Monitor. You can now use Internet Monitor to get visibility about internet performance and availability for user traffic directed to specific NLBs. Internet Monitor also supports monitoring Amazon Virtual Private Clouds (VPCs), Amazon CloudFront distributions, and Amazon WorkSpaces directories.

Amazon Redshift announces the general availability of automatic mounting of AWS Glue Data Catalog, making it easier for customers to run queries in their data lakes. You no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in AWS Glue Data Catalog. Now, you can query data lake tables directly from Amazon Redshift Query Editor v2 or your favorite SQL editors.

AWS DataSync support for copying data to and from Azure Blob Storage is now generally available. Using DataSync, you can move your object data at scale between Azure Blob Storage and AWS Storage services such as Amazon S3. AWS DataSync supports writing to block blobs and can read from all blob types within Azure Blob Storage. It can also be used with Azure Data Lake Storage (ADLS) Gen 2.

AWS Transfer Family launches Secure File Transfer Protocol (SFTP) connectors, a fully-managed and low code capability to securely and reliably copy files at scale between remote SFTP servers and Amazon S3. Files transferred using SFTP connectors are stored in Amazon S3, enabling you to unlock value from data using analytics, data lakes or AI/ML services in AWS.

Amazon Redshift today announces the preview release of Apache Iceberg support, enabling users to run analytics queries on Apache Iceberg tables within Redshift. Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service used by tens of thousands of customers. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you quickly ingest, securely share data, and achieve the best performance for the best price. Apache Iceberg, one of the most recent open table formats, has been used by many customers to simplify data processing on rapidly expanding and evolving tables stored in data lakes.

AWS Glue for Apache Spark now supports native connectivity to Snowflake, which enables users to read and write data from Snowflake without the need to install or manage Snowflake connector libraries. In addition, AWS Glue Studio has new visual ETL capabilities available for Snowflake source and targets to save time when authoring data pipelines for Snowflake. AWS Glue Studio enables ETL (Extract, Transform and Load) developers to visually transform data with a no-code, drag-and-drop interface. With this new connector and visual capabilities, ETL developers can read and write data into Snowflake more effectively using AWS Glue.

AWS Glue Studio now supports Amazon Redshift Serverless as a data source or target out-of-the-box. AWS Glue Studio enables ETL (Extract, Transform and Load) developers to visually transform data with a no-code, drag-and-drop interface. Glue’s visual interface saves the developer time authoring, running, and monitoring highly scalable ETL jobs. Developers can pull data from a variety of data sources including AWS services like Amazon S3, Amazon Kinesis, and Amazon Redshift. With this new feature, developers can read and write data into Amazon Redshift Serverless more effectively.

AWS Glue Studio Visual ETL jobs now let you use DataBrew Recipes as steps in the flow of transformations. AWS Glue Studio Visual ETL is a no-code job authoring UI for ETL developers with a flow-diagram interface. AWS Glue DataBrew is a no code data preparation tool for business users and data analysts with a spreadsheet-style UI. The new integration between the two makes it simpler to deploy and scale DataBrew jobs and gives DataBrew users access to AWS Glue features not available in DataBrew. The integration also works in code-based jobs.

Amazon SageMaker Canvas now supports Document Queries, a ready-to-use model powered by Amazon Textract. Document Queries allows you to specify the data you want to extract from structured documents using natural language, without requiring prior knowledge of the document’s structure (table, form, fields, nested data). This eliminates the need for manual processing and searching within extracted data, saving you time and reducing human-error. 

Amazon SageMaker Canvas now supports the ability to provide a custom output location in Amazon S3 for machine learning (ML) artifacts, such as trained models, explainability reports, and prediction results allowing you to organize and structure your output directory in a way that aligns with your specific needs and preferences. SageMaker Canvas is a visual interface that enables business analysts and citizen data scientists to generate accurate ML predictions on their own — without requiring any ML expertise or having to write a single line of code. 

Starting today, users can experience a simplified visual layout when they access AWS Supply Chain Demand Planning from their browser. This new user interface features an enhanced onboarding experience, simplified forecast settings, a unified demand plan, and streamlined workflows for forecast overrides and demand plan finalization. This reduces the time it takes for new users to onboard and finalize forecast.

Starting today, you can now easily apply multiple overrides on a demand forecast, eliminating the need to create and select from multiple overrides before publishing a demand forecast. With this release, you can apply multiple overrides, enabling users to apply overrides at different products simultaneously. When you make an override, the override adjustment is aggregated upwards in the hierarchy as well as disaggregated to lower levels of the forecast hierarchy.

Amazon DocumentDB (with MongoDB compatibility) now supports document compression using the LZ4 compression algorithm. Compressed documents in Amazon DocumentDB are up to 7x smaller than uncompressed documents. Compressed documents require less storage space and IO operations during database reads and writes, leading to lower storage and IO costs.

AWS Supply Chain Demand Planning now logs the record of actions taken by a user to AWS CloudTrail, a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. Using AWS CloudTrail, you can log, continuously monitor, retain, and respond to the record of actions taken by a user in AWS Supply Chain Demand Planning.

Today, AWS CloudFormation StackSets launches a new API ListStackInstanceResourceDrifts, and adds a new filter in ListStackInstances to improve visibility to resource and stack instance drift information. A resource or stack instance is considered drifted when it’s actual configuration differs from its expected configuration. You can now use ListStackInstanceResourceDrifts to list and filter resources in a stack instance according to drift status. Similarly, you can use the drift status filter in ListStackInstances to check for stack instance drift in a stack set. With this launch, you can access these aggregated drift information through your management or delegated administrator AWS account.

We are excited to announce that Amazon EMR has launched two new capabilities that enhances the scaling experience for Amazon EMR on EC2 clusters: a new retry mechanism for faster scaling of your Amazon EMR on EC2 clusters running Presto or Trino; and faster scale-down of Amazon EMR on EC2 clusters by enforcing the data redundancy requirements. These capabilities are automatically enabled for clusters running Amazon EMR 6.12 or higher releases and no action is needed from your end.

Amazon Omics has added run queuing to the Omics workflow. Amazon Omics is a fully managed service that helps healthcare and life science organizations build at-scale to store, query, and analyze genomic, transcriptomic, and other omics data. With workflow run queuing, you are now able to queue up to thousands of workflow runs, and the service will process the runs at a rate defined by your service quota limits.

Amazon CloudWatch Synthetics announces a new update to Synthetics NodeJS runtime version syn-nodejs-puppeteer-5.0 and recommends that customers migrate Synthetics canaries to the latest runtime version. Runtime version syn-nodejs-puppeteer-5.0 includes updates to third-party dependency packages (Puppeteer v19.7.0 and Chromium v111.0.5563.146).

AWS Marketplace sellers can now add additional certifications to their Vendor Insights security profiles, including PCI Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA), and General Data Protection Regulation (GDPR) compliance. These are in addition to already available certifications for FedRAMP, ISO 27001, and SOC 2 Type 2. AWS Marketplace Vendor Insights helps streamline the complex third-party software risk assessment process by enabling sellers to make security and compliance information available through AWS Marketplace. Buyers can more quickly discover products in AWS Marketplace that meet their security and certification standards by searching for and accessing vendor insights profiles.

We are excited to announce the launch of 28 new proactive controls in AWS Control Tower. This launch enhances AWS Control Tower’s governance capabilities, allowing you to implement controls at scale across your multi-account AWS environments by blocking non-compliant resources before they are provisioned for services such as Amazon CloudWatch, Amazon Neptune, Amazon ElastiCache, AWS Step Functions, and Amazon DocumentDB. These new controls help you meet control objectives such as establish logging and monitoring, encrypt data at rest, or improve resiliency. To see a full list of the new controls, see the controls reference guide.

Amazon SageMaker Feature Store now makes it easier to share, discover and access feature groups across AWS accounts. This new capability promotes collaboration and minimizes duplicate work for teams involved in ML model and application development, particularly in enterprise environments with multiple accounts spanning different business units or functions. 

AWS Lake Formation now supports the ability to delegate the creation, management and granting of permissions of Lake Formation Tags (LF-Tags) to non-Lake Formation administrators. With this launch, Lake Formation administrators can give permissions to data stewards and other users to manage LF-Tags.

AWS Glue Crawlers now supports Apache Hudi tables, allowing customers to query data in Apache Hudi tables directly from AWS analytics services like Amazon Athena. Apache Hudi is an open-source table format that brings database and data warehouse capabilities to the data lake. Apache Hudi helps data engineers manage continuously evolving data sets while maintaining query performance. 

Starting today, you can enable Amazon Route 53 Resolver on AWS Outpost rack, allowing you to resolve Domain Name Server (DNS) queries locally and enhance the availability and performance of applications running on Outposts rack.

AWS Supply Chain is now generally available in Australia (Sydney) and Europe (Ireland) based on increased customer demand in these regions. With this release AWS Supply Chain is now available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Australia (Sydney) and Europe (Ireland).

AWS AppConfig, a capability of AWS Systems Manager, announces support for the AWS AppConfig Agent on Amazon Elastic Compute Cloud (Amazon EC2). AWS AppConfig allows customers to deploy faster and safer using feature flags and dynamic configuration, decoupling software releases from code deployments. The AWS AppConfig Agent is client-side software that manages configuration data on behalf of customers. Previously, customers needed to manage their own polling and caching of data when running applications on Amazon EC2. Now, the agent takes care of these tasks. With this update, the AWS AppConfig Agent now has native support for the following compute services: AWS Lambda, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon EC2.

We are excited to announce support for Apache Spark with Java 17 in EMR on EKS. AWS customers can now leverage Java 17 as a supported Java runtime to run Spark workloads on Amazon EMR on EKS, and benefit from Java 17’s language enhancement and performance improvement. Amazon EMR on EKS enables customers to run open-source big data frameworks such as Apache Spark on Amazon EKS.

AWS Config supports 65 new resource types in advanced queries. The advanced queries feature provides a single query endpoint and a powerful query language to get current resource state metadata without performing service-specific describe API calls. You can use configuration aggregators to run the same queries from a central account across multiple accounts and AWS Regions.

You can now enable CloudWatch Contributor Insights on your AWS PrivateLink-powered VPC Endpoint Services in 6 new regions- Asia Pacific (Hyderabad, Jakarta, Melbourne), Europe (Spain, Zurich) and Middle East (UAE). AWS PrivateLink is a fully-managed private connectivity service that enables customers to access AWS services, third-party services or internal enterprise services hosted on AWS in a secure and scalable manner while keeping network traffic private. CloudWatch Contributor Insights analyzes time-series data to report the top contributors and number of unique contributors in a dataset. 

Amazon Connect now supports AWS CloudFormation for routing profile and queue resources, in addition to other resources used to configure a contact center like Connect instances, flows, S3 buckets and lambdas. You can use AWS CloudFormation templates to programmatically deploy Amazon Connect routing profiles and queues in a secure, efficient, and repeatable way, reducing the risk of human error from manual configuration. CloudFormation allows you to track changes over time, apply updates in a controlled and automated manner, and includes version controls so you can easy roll back changes if needed.

AWS IoT Device Defender Rules Detect now supports a new disconnect duration metric to monitor the duration of disconnect of each device. With this additional metric, you can track how long a device has been disconnected to learn whether it is operating as expected. You can also configure alarms at predefined threshold levels and be alerted in the case of persistent device connectivity issues.

Amazon Connect Cases now enables agents to easily associate a case with a queue or an individual agent for resolution. Agents can view and filter cases assigned to their queue and managers can directly assign cases to individual agents. Case assignment helps companies’ service and support teams work more efficiently and reduce time to resolve customer questions and issues by clearly tracking case activities and resolution ownership.

AWS WAF now supports URI path as an aggregation key for rate-based rules, providing customers with enhanced control and simplicity in managing request rates for URI paths. With this feature, customers can track request rates for any URI path and apply rule actions based on the number of requests received. 

Customers who use Amazon Simple Notification Service (Amazon SNS) for sending mobile push notifications can now host their applications in twelve additional AWS regions, including Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Jakarta), Asia Pacific (Osaka), Canada (Central), Europe (London), Europe (Milan), Europe (Paris), Europe (Stockholm), Middle East (Bahrain), Middle East (UAE), and US East (Ohio). 

Amazon Redshift ML enables you to create, train, and deploy machine learning (ML) models using familiar SQL commands. With Amazon Redshift ML, you can now leverage Amazon Forecast, a ML-based time-series forecasting service, without having to learn any new tools or having to create pipelines to move your data.

We're excited to announce significant improvements to the AWS Amplify JavaScript library, by reducing the bundle sizes for our Auth, Storage, Notifications, and Analytics categories. We've improved our codebase so that you get leaner bundles, resulting in faster load times and improved performance for your applications. You can benefit from these improvements by installing or updating to version 5.3.4 or beyond of the Amplify JavaScript library.

Today, AWS announces support for starting Amazon CodeCatalyst workflows based on pull request events in linked GitHub repositories. When a workflow is triggered by a GitHub-based pull request, users will also be able to see the name of the PR that triggered it in the CodeCatalyst workflows UI, and click a link that takes them directly to the pull request in GitHub.

Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2idn instances are available in Middle East (Dubai) and Europe (Zaragoza) regions. These instances, powered by 3rd generation Intel Xeon Scalable Processors 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 X1 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.

Amazon CloudWatch is excited to announce “pattern”, a new Logs Insights command which enables customers to more easily identify trends and patterns in their logs. Customers often need to analyze thousands of log lines to identify relevant information. The pattern command uses AWS Machine Learning algorithms to automatically recognize patterns in log data, aggregate related logs and summarize thousands of log lines into a few easy to visualize groupings. Pattern helps customers quickly surface emerging trends, monitor known errors, increase cost visibility by identifying frequently occurring log lines and more.

Amazon Managed Grafana is a fully managed service for Grafana, a popular open-source analytics platform that enables you to query, visualize, and alert on your metrics, logs, and traces. With this feature, you can now upgrade your existing workspaces from version 8.4 to 9.4.

Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are enabling real time translation of Docx files. With this launch, Real Time Document Translation can synchronously translate HTML, TXT and Docx files, while preserving the source document format. Customers can use the API via SDK, CLI, or the AWS management console to submit a translation request and receive the document back with source formatting intact.

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 sophisticated natural language conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems. We are excited to announce the general availability of Analytics on Amazon Lex. Analytics gives access to rich insights and prebuilt dashboards related to Lex conversations, intents, slots, and utterances.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6in instances are available in the Europe (Paris) and Middle East (Dubai) regions.

Amazon Connect now provides pre-defined Contact Lens conversational analytics metrics, available via the GetMetricDataV2 API, enabling contact center managers to analyze aggregate contact quality and agent performance. These new metrics allow managers to understand how many times an agent interrupted a customer, the talk-time for a contact overall, by agent, or by customer, and how long it took for an agent to first greet the customer on chat. For example, using these metrics, customers can create custom dashboards to analyze if an agent’s average handle time is high due to higher than expected agent talk time, and if so, provide agent coaching to improve.

Starting today, Llama 2 foundation models from Meta are available in Amazon SageMaker JumpStart, a machine learning (ML) hub that offers pretrained models, built-in algorithms, and pre-built solutions to help you quickly get started with ML. You can deploy and use Llama 2 foundation models with a few clicks in SageMaker Studio or programmatically through the SageMaker Python SDK.

On July 18, 2023 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) and Feature (FR) versions of OpenJDK. Corretto 20.0.2, 17.0.8, 11.0.20, 8u381 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.

AWS Mainframe Modernization is now Payment Card Industry Data Security Standard (PCI DSS) compliant, enabling customers to use AWS Mainframe Modernization for applications that store, process, and transmit information for use cases such as payment processing that are subject to PCI DSS. 

Authentication with Microsoft Active Directory for Amazon Aurora with PostgreSQL compatibility is now available in the AWS GovCloud (US-East and US-West) Regions.

Amazon Elastic Container Service (ECS) announces domainless Group Managed Service Account (gMSA) support for Linux and Windows containers running on Amazon EC2. This integration allows applications hosted on Amazon ECS (on EC2) to easily authenticate with Microsoft Active Directory (AD) to access network shared resources. With this launch, customers can run containers that require AD authentication without joining the ECS nodes to the domain, even during autoscaling events.

Customers running applications on Amazon Elastic Container Service (ECS) with AWS Fargate can now leverage Seekable OCI (SOCI), a technology open sourced by AWS that helps applications deploy and scale out faster by enabling the containers to start without waiting for the entire container image to be downloaded. 

AWS Elemental MediaPackage is a video origination and just-in-time packaging service that allows video distributors to securely and reliably deliver live streaming or on-demand content at scale. From a single video input, MediaPackage creates video streams formatted to play on connected TVs, mobile phones, computers, tablets, and game consoles. It makes it easy to implement popular video features commonly found on DVRs, such as start-over, pause, and rewind. The service can also protect your content using Digital Rights Management (DRM) technologies.

With Amazon Interactive Video Service (Amazon IVS) you now have the option to filter the specific HLS renditions stored in your S3 bucket as well as control the resolution and pixel count of thumbnail jpeg files while using the auto-record to S3 feature. These controls allow customers to control the amount of data stored while recording to optimize storage costs. Additionally, customers can reduce the thumbnail generation interval down to one second (previously 5 second limit) to have lower latency thumbnails for discovery or post processing use cases. These enhancements apply to Amazon IVS Standard and Advanced channel types without additional cost.

We are happy to announce the general availability of the Lambda Annotations Framework for .NET. This new programming model makes the experience of writing Lambda functions in C# feel more natural for .NET developers by using C# source generator technology.

Amazon Connect Wisdom now delivers ML-powered, real-time recommended information to help chat agents quickly solve customer needs. Previously only available for agents responding to calls, Wisdom’s machine learning models help detect customer issues and recommend knowledge articles to agents during chat sessions. By proactively delivering agents the information they need, Wisdom helps improve agent productivity and caller satisfaction. Amazon Connect Wisdom is available in the US East (N. Virginia), US West (Oregon), Europe (London), Europe (Frankfurt), Asia Pacific (Sydney), and Asia Pacific (Tokyo) AWS regions. To learn more about Amazon Connect Wisdom, please visit the Amazon Connect Wisdom website or see the help documentation.

Amazon Redshift now supports the QUALIFY clause in SELECT SQL statements, which allows you to apply filtering conditions to the result of a window function without using a subquery. By filtering the results of window functions, you can focus on the desired data segments and derive insights from your data more efficiently.

You can now configure ad breaks in AWS Elemental MediaTailor Channel Assembly using cue ad tags in addition to date range when using HLS outputs. When using cue ad tags, Channel Assembly will create the necessary EXT-X-CUE-IN/OUT/CONT markers in the specific HLS outputs. Additionally, you can now also configure asset metadata key/value pairs to be included in the EXT-X-ASSET tag to signal additional content characteristics on a per break basis.

AWS Lambda event source mappings and Amazon EventBridge Pipes sources now support additional filtering capabilities including the ability to match against characters at the end of a value (suffix filtering), to ignore case sensitivity (equals-ignore-case), and to have a single rule match if any conditions across multiple separate fields are true (OR matching). We’re also increasing the bounds supported for numeric values to -5e9 to 5e9 from -1e9 to 1e9. With these new enhanced capabilities, you can now write complex rules that provide additional filtering options when building event-driven applications.

AWS Database Migration Service (AWS DMS) now supports Amazon Redshift Serverless as a target endpoint. With this new support, you can securely migrate your data to Redshift Serverless, where it can be stored, queried, and analyzed without the need to provision or manage infrastructure.

We are excited to announce that Amazon EMR on EKS now supports programmatic execution of Jupyter notebooks when running interactive workloads via managed endpoints. Amazon EMR on EKS enables customers to run open-source big data frameworks such as Apache Spark on Amazon EKS. Amazon EMR on EKS customers can setup and use a managed endpoint (available in preview) to run interactive workloads using integrated development environments (IDEs) such as EMR Studio. 

You can now see alerts in AWS Elemental MediaTailor Channel Assembly categorized to understand nature and severity. Alerts will be categorized as either Scheduling Error, Playback Warning or Info.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7g and R7g instances are now available in AWS Regions Europe (Frankfurt), Asia Pacific (Tokyo) and Asia Pacific (Sydney). These instances are powered by AWS Graviton3 processors and built on the AWS Nitro System. AWS 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. 

Amazon Personalize now makes it easier to modify datasets by allowing customers to add columns to an existing schema. Amazon Personalize uses datasets provided by customers to train custom personalization models on their behalf. Customers modify existing datasets to add new filtering columns for enhanced business logic and to add new columns that can improve model training. Previously, to add new columns customers would need to reproduce existing resources starting at the dataset level. With this feature, customers can quickly update their schema to append an additional column without having to reproduce resources.

AWS Batch now supports Linux ARM64 and Windows x86 containers in AWS Fargate. This feature helps simplify the adoption of modern container technology for AWS Batch customers by expanding their architecture options for scheduling Linux ARM64 and Windows x86 containers in Fargate compute environments. Support for ARM64 architecture also gives customers sustainability benefits of Graviton instances in Fargate which can help improve price/performance over comparable x86-based instances for a variety of workloads including high performance computing.

Amazon CloudFront announces support for 3072-bit RSA certificates. Customers can now associate their 3072-bit RSA certificates with CloudFront distributions to enhance communication security between clients and CloudFront edge locations.

AWS Proton introduces deployment history, a new feature that provides greater visibility into cloud infrastructure deployment events. Platform engineers use Proton to define infrastructure as code patterns for their services and manage updates for services across shared resource environments. Proton deployment history makes it easier to see when deployments are initiated, what resources they target, and provides a simple way to track deployment trends over time.

With Amazon S3 Inventory, you can now easily review your access control lists (ACLs) on all of your objects to simplify review of access permissions. ACLs were the original way to manage object access when S3 launched in 2006. Now, when migrating to IAM-based bucket policies for access control, you can easily review all of the object ACLs in your buckets before enabling S3 Object Ownership.

Amazon Connect now provides APIs to programmatically delete routing profiles and queues. You can now remove routing profile and queue resources that are no longer applicable, streamlining your contact center as requirements change and you adapt to new strategies for call flows, agent groups and other routing configurations. Deleting unused resources also frees up capacity in your service limits, giving you room to create new routing profiles and queues.

Amazon DocumentDB launches index improvements enabling faster index builds on collections and the ability to view index build statuses. Amazon DocumentDB index builds can now be sped by up to 14X when using parallel workers compared to using a single worker. The index creation process now uses two workers by default, and you can configure the number of workers on Amazon DocumentDB 4.0 and 5.0 instance-based clusters.

AWS Lambda can now detect and stop recursive loops in Lambda functions. Customers build event-driven applications using Lambda functions to process events from sources like Amazon SQS and Amazon SNS. However, in certain scenarios, due to resource misconfiguration or code defect, a processed event may be sent back to the same service or resource that invoked the Lambda function. This can cause an unintended recursive loop, and result in unintended usage and costs for customers. With this launch, Lambda will stop recursive invocations between Amazon SQS, AWS Lambda, and Amazon SNS after 16 recursive calls.

Amazon Aurora PostgreSQL-Compatible Edition now supports the pgvector extension to store embeddings from machine learning (ML) models in your database and to perform efficient similarity searches. Embeddings are numerical representations (vectors) created from generative AI that capture the semantic meaning of text input into a large language model (LLM). pgvector can store and search embeddings from Amazon Bedrock, Amazon SageMaker, and more.

Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 15.3, 14.8, 13.11, 12.15, and 11.20. These releases contains product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific improvements. This release also contains new features and improvements for Babelfish for Aurora PostgreSQL version 3.2 and improved support for Amazon Web Services Database Migration Service version 3.5.1 Aurora PostgreSQL target endpoint Babelfish data types. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. As a reminder, if you are running any version of Amazon Aurora PostgreSQL 11, you must upgrade to a newer major version by January 31, 2024.

Amazon FSx for NetApp ONTAP now supports SnapLock, an ONTAP feature that prevents data from being modified or deleted for a specified retention period by transitioning files to a write once, read many (WORM) state. FSx for ONTAP is the first and only fully managed file storage service in the cloud offering WORM protection. You can use SnapLock to meet regulatory compliance, protect business-critical data from ransomware, and prevent accidental or malicious attempts at alteration and deletion of data.

Amazon QuickSight now supports new axis configurations for small multiples and radar charts, empowering users to customize axis settings according to their use case. In small multiples, users now have the option to select either shared or independent axis configuration for both the X and Y axes, specifically for line and bar charts.

Amazon QuickSight introduces new unified coloring experience for your analysis and dashboards. Authors now have a way to assign colors on a field level which means that different visuals having the same field will now have the same color. Thus, making it easier for authors to specify color once on field level and reuse across different visuals instead of assigning colors for each visual separately. Along with this, we are also improving the coloring experience where visual color will persist and not change with visual interactions like sorting, filtering and actions. More details can be found here.

Amazon FSx for NetApp ONTAP, a service that provides fully managed shared storage built on NetApp’s popular ONTAP file system, is announcing two additional monitoring capabilities that enable you to monitor file system events and diagnose network connectivity: you can now access ONTAP Event Management System (EMS) logs and collect packet captures on your file systems.

Today, AWS announced Windows support on Karpenter (Starting with v0.29.0), the open-source node provisioning and management project. Using Karpenter, customers can now quickly scale their Amazon EKS clusters running Windows with right-sized Amazon EC2 instances in response to changing application load. Karpenter helps customers optimize their operational overhead and costs during this process without manually adjusting the compute capacity of their clusters, overprovisioning compute to meet rapidly changing demand, or creating multiple EC2 Autoscaling Groups (ASGs).

Amazon FSx for NetApp ONTAP, a service that provides fully managed shared storage built on NetApp’s popular ONTAP file system, now supports using the IP security (IPsec) protocol to encrypt data in transit. With this additional option to encrypt your data end-to-end, FSx for ONTAP offers even more flexibility for you to protect your data.

AWS Mainframe Modernization is now available with a range of new capabilities for easier management and operation of the service’s fully-managed runtime environments. The capabilities include role-based access, application-level monitoring, and application deployment updates that enable seamless user authorization control, greater application performance visibility, and faster application deployment, respectively, for modernizing mainframe applications.

Amazon Location Service now supports publishing tracked device position updates on Amazon EventBridge, allowing customers to leverage position updates to deliver features tailored to the physical location of tracked devices. Developers can create applications that show devices as they move on a map, or store movement data in long-term storage to be used for purposes like asset movement insights, predictive analytics, or compliance. 

You can now run OpenSearch version 2.7 in Amazon OpenSearch Service. With OpenSearch 2.7, we have made several improvements to observability, security analytics, index management, and geospatial capabilities in OpenSearch Service.

Amazon Location Service now supports API keys as an alternative for authenticating Maps, Places, and Routes resources, making it easier for developers to create authenticated Amazon Location resources. With API Keys, developers can easily create, manage, and expire access to Amazon Location resources, making it simpler for location based applications to interoperate with Amazon Location Service.

AWS Elemental MediaLive now saves channel metrics to Amazon CloudWatch in 1-second intervals allowing you to track fast-changing activity. These metrics can be retrieved using the console or the CloudWatch API at 1-second periods for up to 3 hours after the datapoints were created.

Amazon Omics has achieved Federal Risk and Authorization Management Program (FedRAMP) Moderate authorization for the AWS US East-West Regions. You can use Amazon Omics to store and process your data in AWS with up to the Moderate impact level.

Amazon RDS for SQL Server now allows customers to directly join their RDS for SQL Server DB instances to the domains of self-managed Microsoft Active Directory (AD). Self-managed AD can be on-premises or in the cloud. Currently, customers can only use NTLM as the authentication protocol for self-managed AD.

AWS Glue Crawlers now supports Apache Iceberg tables, simplifying the adoption of AWS Glue Data Catalog as catalog for Iceberg tables and migrating from other Iceberg catalogs. Apache Iceberg is an open-source table format for data stored in data lakes that helps data engineers manage complex challenges, such as managing continuously evolving data sets while maintaining query performance. With today’s launch, you can automatically register Iceberg tables into Glue Catalog by running the Glue Crawler. You can then query Glue Catalog Iceberg tables across various analytics engines and apply Lake Formation fine-grained permissions when querying from Amazon Athena.

AWS Transfer Family provides fully managed file transfers for Amazon Simple Storage Service (Amazon S3) and Amazon Elastic File System (EFS) and is now available in the AWS Asia Pacific (Melbourne) Region.

AWS CodeBuild customers can now use GitHub Actions during the building and testing of software packages. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages. Customers’ CodeBuild projects are now able to leverage many of the pre-built actions available in GitHub’s marketplace. GitHub Actions are open source applications for the GitHub Actions platform that perform a complex but frequently repeated task.

You can now view and access thumbnails from AWS Elemental MediaLive inputs via the AWS Management Console or API.

The Amazon GuardDuty EKS Runtime Monitoring eBPF security agent now supports Amazon Elastic Kubernetes Service (Amazon EKS) workloads that use the Bottlerocket operating system, AWS Graviton processors, and AMD64 processors. Additionally, the new agent version (1.2.0) introduces performance enhancements, built-in CPU and memory utilization limits, and support for Amazon EKS 1.27 clusters. If you use GuardDuty EKS Runtime Monitoring with automated agent management then GuardDuty will automatically upgrade the security agent for your Amazon EKS clusters. If you are not using automated agent management, you are responsible for upgrading the agent manually. You can view the current agent version running in your Amazon EKS clusters in the EKS clusters runtime coverage page of the GuardDuty console. If you are not yet using GuardDuty EKS Runtime Monitoring, you can enable the feature for a 30-day free trial with a few steps.

We are happy to announce the preview release of the AWS .NET Distributed Cache Provider for DynamoDB. This library enables Amazon DynamoDB to be used as the storage for ASP.NET Core’s distributed cache framework. 

Amazon Elastic Kubernetes Service (EKS) now allows running more pods per windows node using IPv4 prefix delegation mode for Windows containers. Prefix delegation mode expands the number of secondary IPv4 addresses which could be assigned to the Elastic Network Interface (ENI) by up to 16x. With this feature, customers can run up to 250 pods on a single Windows Server node, depending upon the chosen instance type and size.

Amazon Textract is a managed machine learning service that automatically extracts text, handwriting, and data from scanned documents. We regularly improve the accuracy of the underlying machine learning models and add new features based on customer feedback. Today, we are pleased to announce accuracy enhancements for the AnalyzeDocument - Forms feature to help customers automate their document processing workflows.

On June 8th, Amazon Simple Queue Service (SQS) announced support for dead-letter queue (DLQ) redrive via AWS SDK or Command Line Interface (CLI). Today, SQS announces support for dead-letter queue redrive via AWS SDK or CLI in the AWS GovCloud (US-West and US-East) Regions. Dead-letter queue redrive is an enhanced capability to improve the DLQ management experience for Amazon SQS customers. Now, customers can use AWS SDK or CLI to programmatically manage the lifecycle of their unconsumed messages at scale.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL 16 Beta 2 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 16 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 16 Beta 2 in the Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. PostgreSQL 16 Beta 2 in Preview Environment also includes support for logical decoding on read replicas and over 70 PostgreSQL extensions. 

Today, we are announcing the availability of AWS Backup support for Amazon S3 in Asia Pacific (Hyderabad, Melbourne) and Europe (Spain, Zurich) Regions. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon S3 along with other AWS services (spanning compute, storage, and databases) and third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection activity. 

AWS Config now supports 16 more resource types for services, including AWS Private Certificate Authority, AWS AppConfig, AWS App Mesh, AWS App Runner, Amazon Connect Customer Profiles, AWS Database Migration Service (AWS DMS), Amazon Elastic Compute Cloud (Amazon EC2), Amazon Kendra, Amazon Kinesis Video Streams, Amazon CloudWatch Logs, AWS Network Manager, Amazon Pinpoint, and Amazon Simple Storage Service (Amazon S3).

Starting today, we are launching the AWS Network Firewall service in Europe (Zurich), Europe (Spain), Asia Pacific (Melbourne), and Asia Pacific (Hyderabad) Regions, enabling customers to deploy essential network protections for all their Amazon Virtual Private Clouds (VPCs).

AWS Mainframe Modernization with AWS Blu Age Runtime is now available with more flexibility in configuration of the complete stack and deployment on customers’ AWS account EC2 instances.

Amazon Relational Database Service (Amazon RDS) Multi-AZ Deployments with two readable standbys now supports logical replication. With logical replication, you can stream data changes from Amazon RDS for PostgreSQL to other databases for use cases such as data consolidation for analytical applications, change data capture (CDC), replicating select tables rather than the entire database, or for replicating the data between different major versions of PostgreSQL.

Today, Amazon DynamoDB local, a local downloadable version of Amazon DynamoDB, has migrated to use the jakarta.* namespace. This latest version allows Java developers to use DynamoDB local to work with Spring Boot 3 and frameworks such as Spring Framework 6 and Micronaut Framework 4 to build modernized, simplified, and lightweight cloud native applications.

Starting today, you can use AWS Application Migration Service (AWS MGN) to centrally view and manage migrations to multiple accounts via a single designated account. Designed for large organizations, this new feature uses AWS Organizations to provide visibility and inventory management capabilities directly from the AWS Application Migration Service console.

Today, AWS Backup is announcing expanded regional coverage for cross-account backups in AWS Regions Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Melbourne, Osaka), Europe (Milan, Spain, Zurich), and Middle East (Bahrain, UAE). Using cross-account backups, customers can copy backups across accounts within their AWS Organizations.

Amazon CloudWatch now supports Service Quotas in Cross-Account observability allowing customers to track and visualize resource utilization and limits across various AWS services from multiple AWS accounts within a region using a central monitoring account.

Amazon OpenSearch Service now lets you provision up to 16,000 IOPS and 1000 MiB/s throughput for every 3 TiB gp3 volume size provisioned per data node, enabling you to achieve better search and indexing performance.

Today, we are excited to announce the integration of Amazon SageMaker Model Cards and Amazon SageMaker Model Registry, allowing you to associate a SageMaker Model Card with a specific model version in SageMaker Model Registry. This enables you to establish a single source of truth for your registered model versions, with comprehensive, centralized, and standardized documentation across all stages of the model’s journey on SageMaker, facilitating discoverability and promoting governance, compliance, and accountability throughout the model lifecycle.

Amazon Connect now enables you to automatically present the right step-by-step guide based on agent activity. You can now use the new “Set event flow” block within Amazon Connect flows to run a specific guide when a customer connects with an agent or the agent disconnects from the call. For example, when a customer connects with an agent for a lost baggage issue, the agent is presented with a ‘lost baggage’ step-by-step guide that has been pre-configured by the contact center manager as the default view within the agent workspace. This makes it easy for an agent to walk through the exact steps of the issue the customer is calling about, helping improve resolution time and consistency. Additionally, you can now update attributes on related contacts using the “Set contact attributes” flow block. For example, if your customer submits an incorrect baggage claim ID before connecting with an agent, the agent can use a step-by-step guide to update or correct the claim ID, ensuring attributes are accurately logged across contacts for future reference. 

AWS Wickr is now available in the AWS Canada (Central) Region. This expansion allows organizations based in Canada to establish an AWS Wickr network in their geography to help facilitate compliance with local data residency needs and other regulations. The expansion also allows organizations to manage networks across multiple commercial regions and marks the beginning of AWS Wickr’s regional expansion beyond the United States.

Amazon Personalize now uses the latest streamed data for batch recommendations, improving recommendation quality by capturing recent user interactions. Batch recommendations now use newly recorded events streamed via Personalize’s event tracker to generate recommendations without requiring retraining of the model. Previously, batch recommendations would only consider the interactions up to the point of the last model retraining. By considering more recent interactions, Personalize’s recommendations can now better respond to shifts in user behavior.

Parameter Store, a capability of AWS Systems Manager, now supports up to 10,000 transactions per second (TPS) for the GetParameter API, increased from the previous 3,000 TPS limit. Parameter Store allows you to securely store configuration data and secrets as hierarchical key-value pairs. You can flexibly store parameters such as API keys, subnet IDs, and passwords, and you can reference those parameters in your code and through AWS services such as AWS Lambda, Amazon EC2, and AWS CloudFormation. This increased API limit makes it easier to use Parameter Store to support high-traffic applications and demanding workloads without sacrificing performance due to API throttling.