September 2022

Today Amazon WorkDocs, a fully managed product for creating, sharing, and enriching digital content, announced the General Availability of an Apple Silicon (M1, M2) compatible WorkDocs Drive. Apple Silicon support for WorkDocs makes it easy for customers with Apple Silicon MacBooks to install and sync WorkDocs files on their devices.

We are excited to announce that Amazon SageMaker Model Training now supports SageMaker Training Managed Warm Pools. Users can now opt in to keep their machine learning (ML) model training hardware instances warm for a specified duration of time after the job completes. Using this feature, customers can do iterative experimentation or run consecutive jobs at scale for model training on the same warm instances, with up to 8x reduction reduction in job startup latency.

In November 2021, Amazon Elastic Block Store (EBS) introduced EBS Snapshots Archive, a new tier for EBS Snapshots that can help you save up to 75% on storage costs for EBS Snapshots that you intend to retain for more than 90 days and rarely access. Today, we are announcing that you can use Amazon Data Lifecycle Manager to automatically move snapshots created by Data Lifecycle Manager to EBS Snapshots Archive, further reducing the need to manage complex custom scripts and the risk of having unattended storage costs. 

AWS has updated the Monthly Uptime Percentage in the service level agreement (SLA) for AWS Cloud Map to 99.99%.

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 5.7.39. 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 numerous fixes, performance improvements, and new functionality added by the MySQL community.

Amazon File Cache is a fully managed, scalable, and high-speed cache on AWS for processing file data stored in disparate locations—including on premises. Amazon File Cache accelerates and simplifies cloud bursting and hybrid workflows including media and entertainment, financial services, health and life sciences, microprocessor design, manufacturing, weather forecasting, and energy.

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor version 10.6.10. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

AWS Support continues to provide a mix of tools, technology, people, and programs to help you optimize performance, lower costs, and innovate faster. Today, the new AWS Support Plans Console experience makes it easier to view your current Support plan, the included features within that plan, and compare your plan with other AWS Support Plans.

Amazon SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Data Wrangler enables a unified data preparation and model training experience with Amazon SageMaker Autopilot in just a few clicks. This integration is now enhanced to include and reuse Data Wrangler feature transforms such as missing value imputers, ordinal/one-hot encoders etc., along with the Autopilot models for ML inference. When you prepare data in Data Wrangler and train a model by invoking Autopilot, you can now deploy the trained model along with all the Data Wrangler feature transforms as a SageMaker Serial Inference Pipeline. This will enable automatic preprocessing of the raw data with the reuse of Data Wrangler feature transforms at the time of inference. This feature is currently only supported for Data Wrangler flows that do not use join, group by, concatenate and time series transformations.

Amazon Connect now publishes metrics for third-party integrations for Wisdom, Tasks, and Customer profiles to Amazon CloudWatch, making it easier to help monitor operational metrics. These integrations enable Amazon Connect customers to ingest data (e.g., purchase history, knowledge content) and/or automate task creation from third-party SaaS applications such as Zendesk, Salesforce, or ServiceNow. You can now collect, view, and analyze operational and utilization metrics, such as number and size of documents ingested by Wisdom from a third-party application like Zendesk. This feature is available out-of-the box and no coding is required to access data through CloudWatch. 

AWS Service Catalog makes improvements on usability for customers who are provisioning AWS resources via the AWS Service Catalog console. These changes will help enable better error handling and reduce friction in the provisioning workflow.

Today, Amazon Elastic Container Service (ECS) launched integrated service discovery in the Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions.

Today, AWS Systems Manager announces adding CloudWatch Alarms to control tasks. Now customers can choose to stop a task or an action in Systems Manager services when a CloudWatch alarm is activated. This allows customers to use the broad range of monitoring metrics supported by CloudWatch, ranging from resource utilization to application performance, to control tasks. If the specified CloudWatch alarm is activated during a task, Automation will stop the task, RunCommand will cancel the commands, State Manager and Maintenance Windows will skip dispatch. It's easy to get started, customers can add a CloudWatch alarm, while setting up a task in Systems Manager’s Automation, Run Command, State Manager, and Maintenance Windows services. Once setup, users can view the attached alarm in the task's details page.

AWS Cloud Control API now supports AWS PrivateLink, providing access for customers to leverage AWS Cloud Control API through private Virtual Private Cloud (VPC) endpoints within their virtual private network. Customers can now manage their cloud infrastructure in a consistent manner and use the latest AWS capabilities faster using Cloud Control API’s common application programming interfaces (APIs) through private IP addresses in their Amazon VPC. These customers can use AWS Cloud Control API without having to use public IPs, firewall rules, or an internet gateway.

Amazon SageMaker Canvas now supports mathematical functions and operators for richer data exploration, allowing you to define new features in your data. SageMaker Canvas is a visual point-and-click service that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is now available in the Asia Pacific (Jakarta) AWS Region. Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easy for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is fully compatible with Apache Kafka, which enables you to quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you spend more time building innovative applications and less time managing clusters.

AWS CloudShell is now generally available in the South America (São Paulo), Canada (Central), and Europe (London) regions.

Amazon WorkSpaces Core is a new, fully managed Virtual Desktop Infrastructure (VDI) service that combines the security, global reliability, and cost efficiency of AWS with existing VDI management solutions. WorkSpaces Core removes the need for capacity planning or infrastructure refreshing, and simplifies the provision, deployment, and management of VDI environments. With WorkSpaces Core, you can migrate your on-premises VDI solutions to AWS or deploy in a hybrid environment spanning on-premises resources and WorkSpaces Core infrastructure. Manage your entire user base from a single console without disrupting end users or retraining your IT staff.

Amazon WorkSpaces now offers support for Ubuntu Desktop 22.04 LTS. Ubuntu is a popular Linux distribution published by Canonical and the first third-party Linux operating system supported by Amazon Workspaces. With this launch, Amazon WorkSpaces customers now have the flexibility to select Amazon Linux, Microsoft Windows, or Ubuntu desktops depending on the specific needs of their end users. Customers can easily provision and scale Ubuntu WorkSpaces for developers, data scientists, and engineers as high-performance cloud-based development desktops, or for other non-technical users as general-purpose desktops.

Bottlerocket, a Linux-based operating system that is purpose built to run container workloads, is now integrated with Amazon Inspector. Customers that have Inspector EC2 scanning already enabled do not need to take any additional action. If Amazon Inspector discovers a vulnerability, it will recommend an update to the version of Bottlerocket that fixes that vulnerability.

Today, AWS X-Ray adds support for tracing end-to-end requests in PHP applications via the AWS Distro for OpenTelemetry (ADOT) in public preview. ADOT is a secure, AWS-supported distribution of the OpenTelemetry project. With this launch, you can now use the OpenTelemetry PHP SDK to instrument your PHP applications for tracing with X-Ray. X-Ray will help you to visualize and debug your distributed PHP applications in the CloudWatch console with its service map and trace analytics tools.

AWS Compute Optimizer now provides cost and performance optimization recommendations for 37 new EC2 instances types, including bare metal instances (m6g.metal) and compute optimized instances (c7g.2xlarge, hpc6a.48xlarge). Additionally, AWS Compute Optimizer now analyzes the “Available Mbytes”, “Available Kbytes”, and “Available Bytes” metrics to deliver more accurate EC2 instance recommendations for EC2 Windows instances.

AWS Snow Family now offers the Snow Amazon Linux 2 (AL2) Amazon Machine Image (AMI) for all Snowball Edge and Snowcone jobs. With this launch, customers can get started running edge workloads on Snow devices using the Snow AL2 AMI. The Snow AL2 AMI is maintained and provided by AWS Snow, making it easier for customers who do not want to create their own AMI for Snow devices.

With Amazon EBS Snapshots, customers can now archive 25 snapshots concurrently to the Snapshots Archive tier by default, an increase from 5. This default limit increase makes it easier to move snapshots to the Snapshot Archive tier at scale.

Amazon S3 Replication Time Control (S3 RTC) now provides a predictable replication time backed by a Service Level Agreement (SLA) in the AWS China (Beijing) and AWS China (Ningxia) Regions. S3 RTC helps customers meet compliance or business requirements for data replication, and provides visibility into the replication process with Amazon CloudWatch Metrics.

Today, we renamed AWS Certificate Manager Private Certificate Authority to AWS Private Certificate Authority (AWS Private CA). This change helps customers differentiate between AWS Certificate Manager (ACM) and AWS Private CA. ACM and AWS Private CA have distinct roles in the process of creating and managing the digital certificates used to identify resources and secure network communications over the internet, in the cloud, and on private networks. ACM manages the lifecycle of certificates: creating, storing, deploying, and managing renewals for AWS services such as Elastic Load Balancing, Amazon CloudFront, and Amazon API Gateway. AWS Private CA enables customers to create customizable private certificates for a broad range of scenarios. AWS services such as ACM, Amazon Managed Streaming for Apache Kafka (MSK), IAM Roles Anywhere and Amazon Elastic Kubernetes Service (EKS) can all leverage private certificates from Private CA. It also supports creating private certificates for Internet of Things (IoT) devices as well as enterprise users, systems and services.

We are excited to announce that Amazon SageMaker Canvas is now generally available in the AWS Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), and Australia (Sydney) regions.

Amazon EMR is excited to announce that Amazon EMR Serverless is now available in Asia Pacific (Mumbai, Seoul, Singapore, and Sydney), Canada (Central), Europe (Frankfurt, London, Paris, and Stockholm), South America (Sao Paulo), US West (N. California), and US East (Ohio) regions. These regions are in addition to the existing US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland).

AWS IoT FleetWise is now generally available to help automotive companies collect, transform, and transfer vehicle data to the cloud in near real time. Automotive companies can use the data in the cloud to extensively analyze vehicle fleet health. Insights gained allow companies to quickly identify potential maintenance issues, make in-vehicle infotainment systems smarter, or use analytics and machine learning (ML) to improve autonomous driving and advanced driver assistance systems (ADAS).

Starting today, Amazon EC2 Is4gen and Im4gn instances, the latest generation storage-optimized instances, are available in Asia Pacific (Tokyo) region. Is4gen and Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of storage with the new AWS Nitro SSDs that are custom-designed by AWS to maximize the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics which continuously read and write from the SSDs in a sustained manner. AWS Nitro SSDs enable up to 60% lower latency and up to 75% reduced latency variability in Im4gn and Is4gen instances compared to the third generation of storage optimized instances. These instances maximize the number of transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads that require very fast access to data sets on local storage.

Amazon Location Service now enables developers to retrieve known geographical locations using a unique identifier. For example, when using autocomplete functionality to help end-users complete their searches, developers can use the unique identifier of the end-user’s selection to retrieve the location in future queries. Using this unique identifier, developers can create consistent search experiences, filter search results, and display relevant search results on a map.

AWS customers can now download and use the latest version, v1.22, of AWS Copilot, a command line interface (CLI) for containerized applications. AWS Copilot makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing a common application architecture and infrastructure patterns, user-friendly operational workflows, and set up of continuous delivery pipelines. The new release helps Copilot users leverage IAM permission boundaries to comply with their organization’s security requirements and service control policies, build event-driven services when order of operations and events is critical, and achieve a low-latency content delivery for their public HTTPS web services.

AWS Cost Categories now support retroactive application of cost category rules. Previously, while creating a cost category, the rules applied from the start of current month. Similarly, while editing a cost category rule, the changes applied from the start of current month. With this launch, while creating a cost category, you can apply cost category rules starting any month from the previous 12 months. Similarly, while editing a cost category, you can apply cost category rules starting any month from the previous 12 months. These changes will also be reflected in AWS Cost Explorer.

Starting today, you can create budgets using a simplified 1-click workflow for common budgeting scenarios as well as take step-by-step tutorials to learn about creating different kinds of budgets. AWS Budgets helps you track against expected spend by sending alerts when your cost and usage exceeds (or is forecasted to exceed) thresholds you define, or when your Reserved Instances and Savings Plans' utilization and/or coverage rate drops below a threshold. 1-click templates and tutorials are intended for new and existing users seeking guidance on what budgets they can set to control costs in AWS.

Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can use the Amazon Kendra Dropbox connector to index and search documents from Dropbox data source.

Amazon DevOps Guru is now available in the Europe (London), Europe (Paris), Asia Pacific (Mumbai), Asia Pacific (Seoul), US West (N. California), South America (São Paulo), and Canada (Central) regions.

Amazon Connect now has an updated flow designer UI, that makes it easier and faster to build personalized and automated end-customer experiences. With this launch, you can now easily filter the available blocks to quickly find what you need to build the flow, create color coded connections between blocks, view additional block metadata (e.g., the full text prompt in the Play Prompt block) at a glance, and more. Additionally, with the improved flow language, you can now import and export flows in your Amazon Connect instance making it easy to interchangeably build and edit between the UI and APIs.

Amazon DevOps Guru for RDS is now available in the Europe (London and Paris), Asia Pacific (Mumbai and Seoul), US West (N. California), South America (São Paulo), and Canada (Central) regions.

Amazon CloudWatch Container Insights now provides lifecycle events for Amazon Elastic Container Service (ECS). With Container Insights you can monitor, isolate, and diagnose your containerized applications running on ECS. Now with the addition of lifecycle events, you can easily correlate metrics, logs and events in a single view for more complete operational visibility.

Amazon MSK Serverless is now a HIPAA (Health Insurance Portability and Accountability Act) eligible service. This enables you to use Apache Kafka managed by Amazon MSK Serverless to store, process, and access protected health information (PHI) and power secure healthcare and life sciences applications. MSK Serverless is a cluster type for Amazon MSK that makes it easy for you to run Apache Kafka without having to manage and scale cluster capacity.

Amazon Connect now provides a dashboard that enables you to view and compare real-time queue performance through time series graphs. You can review key metrics including service level, contacts queued, 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 incoming contacts or average handle time to determine and implement corrective actions.

Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. Today, we’re excited to announce self-service quota management support for Amazon Textract through enhanced integration with AWS Service Quotas, a new self-service Amazon Textract quota calculator, and higher default Transactions Per Second (TPS) throughput quotas in select AWS Regions. Below is a detailed description of these new capabilities and enhancements:

AWS App Runner adds Node.js v16 managed runtime for building and running node.js based web applications and APIs. App Runner allows you to deploy your application from source code or a container image directly in the AWS cloud. Regardless of the source type, App Runner takes care of starting, running, scaling, and load balancing your service. App Runner provides convenient platform-specific managed runtimes. Each one of these runtimes builds a container image from your source code and adds language runtime dependencies into your image. App Runner uses the managed runtime to build and deploy your application alleviating the need for you to develop and manage your own Dockerfiles.

Starting today, you can perform an in-place upgrade of your Amazon Aurora  database cluster from Amazon Aurora MySQL-Compatible Edition 2 (with MySQL 5.7 compatibility) to Aurora MySQL-Compatible Edition 3 (with MySQL 8.0 compatibility). Instead of backing up and restoring the database to the new version, you can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI.

Amazon Textract is a machine learning service that automatically extracts text, handwriting, and data from any document or image. We continuously improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce quality enhancements to our text extraction feature available via the DetectDocumentText API.

Amazon SageMaker Data Wrangler reduces the time that it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization, from a single visual interface. You can import data from multiple data sources such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Snowflake, and 26 Federated Query data sources supported by Amazon Athena. Starting today, customers importing data from Athena data sources can configure S3 query output location and data retention period to control where and how long Athena stores the intermediary data.

Amazon FSx for Windows File Server, a service that provides fully managed file storage built on Windows Server, 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 metrics and dashboard to right-size your file systems and optimize performance and costs.

We are excited to launch the AWS Smart City Competency to provide best-in-class partner recommendations to our customers and broader market. With cities at the front line of economic, social, and global challenges such as energy and water use, traffic management, sanitation, and sustainability, the quest to build cities that “work” is increasingly reliant on technology solutions. Many AWS Partners leverage the power of AWS Cloud to innovate and deploy meaningful smart city solutions for these challenges, including urban data platforms to help cities gain insights for data-driven decision making; innovative solutions to improve the efficiency and delivery of urban infrastructure such as water, waste, transport, energy, and lighting; and most importantly, solutions to deliver better government services to all urban citizens.

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Today, we are excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in the Europe (Paris) Region.

Today, we’re pleased to announce that Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. For moderately large datasets (< 100MB), ensemble training mode builds machine learning (ML) models with high accuracy quickly - up to 8x faster than the current hyper parameter optimization (HPO) training mode with 250 trials. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best ML models based on your data, while allowing you to maintain full control and visibility. The current HPO mode uses a combination of hyper parameter values to maximize the accuracy of a single model. However, in cases when a single model is unable to capture the complex characteristics of data, combining (or ensembling) the predictions from diverse models can significantly improve overall model accuracy. 

AWS IoT SiteWise now supports definition of asset measurement units at the asset level, enabling customers to use a single asset model for machines reporting measurements in different units.

Today, we are happy to announce the public preview of AWS DataSync Discovery. You can use DataSync Discovery to gain visibility into your on-premises storage performance and utilization, and receive automated recommendations to help simplify and accelerate your data migration to AWS. This new feature of AWS DataSync enables you to better understand your on-premises storage usage through automated data collection and analysis, quickly identify data to migrate, and evaluate recommended AWS Storage services for your data, such as Amazon FSx for NetApp ONTAP, Amazon FSx for Windows File Server, and Amazon Elastic File System (EFS).

Amazon CloudWatch Evidently adds support for Client Side Evaluations (CSE) for AWS Lambda, powered by AWS AppConfig. Evidently is an application performance monitoring (APM) capability that makes it easier for customers to introduce experiments and launches in their application code. Powered by AppConfig Extensions, Evidently CSE allows application developers to generate feature-evaluations in single-digit milliseconds from within their own Lambda functions. AWS AppConfig, a capability of AWS Systems Manager, allows customers to configure, validate, and deploy feature flags to more safely and quickly update application behavior.

Amazon EMR Studio is an integrated development environment (IDE) that makes it simple for data scientists and data engineers to develop, visualize, and debug big data and analytics applications written in R, Python, Scala, and PySpark.

Today, AWS introduced DNS resource record set permissions, enabling customers to define AWS Identity and Access Management (IAM) create, edit, and delete policies for individual or groups of DNS record sets within a Route 53 public or private hosted zone.

Customers now have the option to view Service Health events on the AWS Health Dashboard in their local time and date. The AWS Health Dashboard is the single place for customers to get relevant and timely information to help manage events in progress, prepare for planned activities, and provide information on accounts and services. This feature is intended for customers who want to localize timestamps displayed in the messaging and meta data of Service Health events displayed on the AWS Dashboard by selecting a preferred time zone.

AWS CloudFormation has expanded the availability of event notifications in Amazon EventBridge to the AWS Asia Pacific (Jakarta) Region. You can use these event notifications to build and scale loosely-coupled event-driven applications. You can trigger actions in real-time when CloudFormation stacks or the resources within stacks are created, updated, or deleted without writing single-use custom codes or developing new software.

AWS Elastic Disaster Recovery (AWS DRS) is now available in the Asia Pacific (Jakarta) Region.

AWS Outposts rack can now be shipped and installed at your data center and on-premises locations in Kazakhstan and Serbia.

Amazon S3 on Outposts now supports versioning, helping you to locally preserve, retrieve, and restore each version of every object stored in your buckets. Versioning objects makes it easier to recover from both unintended user actions and application failures. After you enable versioning for your S3 on Outposts bucket, all variants of an object are stored in the same bucket, and are distinguishable by a versionId.

Amazon Comprehend customers can now extract the sentiments associated with entities from text documents in real-time using the newly released synchronous API. Targeted Sentiment synchronous API enables customers to derive granular sentiments associated with specific entities of interest such as brands or products without waiting for batch processing.

Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by finding the optimal set of hyperparameter configurations for your dataset. SageMaker Automatic Model Tuning is now integrated with the SageMaker Search API, which lets you quickly find and evaluate the most relevant model tuning jobs from potentially hundreds or thousands of them.

Amazon Corretto 19 is now generally available. This version supports the latest OpenJDK feature release and is available on Linux, Windows, and macOS. You can download Corretto 19 from our downloads page.

AWS CloudTrail Lake now supports the ability to import CloudTrail event logs from an Amazon Simple Storage Service (Amazon S3) bucket to CloudTrail Lake. You can bring your existing CloudTrail logs into an existing or new CloudTrail Lake event data store. This lets you consolidate historical CloudTrail event logs with new CloudTrail events collected in CloudTrail Lake into a single event data store in CloudTrail Lake. Once you have created your consolidated event data store in CloudTrail Lake, you can use it to run queries on all your logs, including events brought over from your trails. 

Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of Hiujin, Amazon Polly’s first Cantonese speaking, neural text to speech (NTTS) voice

AWS IoT Device Management Secure Tunneling now provides support for multiple simultaneous TCP connections, unlocking new use cases for advanced troubleshooting on remote devices. Secure Tunneling allows customers to establish bidirectional communication to remote devices using SSH, VNC or RDP. Now with multiple simultaneous TCP connections, customers can establish tunnels to access HTTP-based applications that typically make several connections for assets like images, javascript, and css. For example, you can now remotely access a web application that is running on a device to gain real-time telemetry or perform administrative tasks in a web-based GUI.

Today, we are excited to announce the general availability of local clusters for Amazon Elastic Kubernetes Service (EKS) on Outposts, which enable you to run highly available Kubernetes clusters in on-premises environments.

AWS Elemental MediaConnect now supports Secure Reliable Transport (SRT) caller mode for both sources and outputs in MediaConnect flows. SRT caller mode provides greater flexibility when configuring video transport workflows using MediaConnect.

Today, AWS Systems Manager Quick Setup announces support for installing and periodically updating the CloudWatch Agent. With this new launch, you can now easily deploy and keep up to date the CloudWatch Agent in instances across accounts and Regions at scale with a few clicks.

We are excited to announce that Amazon EMR on EKS release 6.7.0 and onwards includes the ability to run Apache Spark SQL scripts through the StartJobRun API. Spark SQL is a Spark module for structured data processing. Unlike the Spark DataFrame API, Spark SQL interfaces provide Spark with more information about the structure of both the data and computation being performed. Internally, Spark SQL uses this extra information to perform additional optimizations. With this release, you can run Spark SQL queries and Spark SQL-based ETL pipelines directly through Amazon EMR on EKS’ StartJobRun API.

Amazon Simple Notification Service (Amazon SNS) now supports message signature based on SHA256 hashing, which provides security improvements over SHA1. To choose the hashing algorithm, either SHA256 or SHA1, you can use the SetTopicAttributes API action. Amazon SNS signs the messages delivered from your topic, so that the subscribed HTTP endpoints can verify the authenticity of the messages.

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQLServer running on major versions 2014 and later. Using Amazon RDS Proxy, customers can make applications more scalable, more resilient to database failures, and more secure.

Amazon Redshift customers use the system table/views (STL/SVL) to get insight into query executions for their performance and auditing needs. These system table/views are powered by system logs and generated by Amazon Redshift cluster. Amazon Redshift enhances the system log durability and now allows the users to fetch up to seven days of system log data irrespective of instance type, cluster size and workload on the cluster. The system logs are now also persisted across the pause and resume of your cluster.

If you deliver experiences with immersive audio and high dynamic range (HDR) video, you can now use AWS Elemental MediaLive to encode Dolby Atmos and Dolby Vision in your channel.

AWS IoT TwinMaker introduces new features to improve the performance of data panels powered by the TwinMaker Grafana Plugin. For a complete list of features, see the changelog on AWS IoT TwinMaker App in Grafana.
A few key features included in this new version are:

• Customers can now define the maximum number of alarms that are retrieved by the Get Alarms Query, which provides a way to configure payload size.
• The Get Property Value History by Entity query and Get Property Value History by Component Type query now support template variables such as propertyName. This enables developers to create dynamic time-series data panels that will display different properties/metrics based on selected entities.

Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. SageMaker Automatic Model Tuning now supports Hyperband, a new search strategy that can find the optimal set of hyperparameters up to 3x faster than Bayesian search for large-scale models such as deep neural networks that address computer vision problems.

AWS Fargate customers can now configure Amazon Elastic Container Service (ECS) tasks and Amazon Elastic Kubernetes Service (EKS) pods to use up to 16 vCPUs, an approximately 4x increase from before. vCPUs are the primary compute resource in ECS tasks and EKS pods. Larger vCPUs enable compute-heavy applications like machine learning inference, scientific modeling, and distributed analytics to more easily run on Fargate. In addition, customers can now provision up to 120 GiB of memory on Fargate, also a 4x increase from before. This helps batch workloads, extract, transform, load (ETL) jobs, genomics, and media processing applications better perform memory-intensive operations on Fargate. Larger vCPU and memory options may also make migration to serverless container compute simpler for applications that need more compute resources and cannot be easily re-architected into smaller microservices.

Amazon Elastic Container Service (Amazon ECS) has improved Amazon ECS Capacity Providers to deliver a faster Cluster Auto Scaling experience for scale-in events. Amazon ECS now scales-in excess capacity at a much faster rate, which helps you improve utilization of your infrastructure and saves compute costs.

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor versions 10.5.17, 10.4.26 and 10.3.36. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

AWS App Runner now supports Amazon ECR images from any AWS region to create or update App Runner services. App Runner makes it easy for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without having to manage infrastructure. With App Runner you can deploy your application from source code or a container image directly in the AWS cloud. Regardless of the source type, App Runner takes care of starting, running, scaling, and load balancing your service.

AWS Batch has increased the job report retention period from 24 hours to 7 days. This means that you can now query the details for AWS Batch jobs that were completed up to 7 days ago. With this longer retention period, you no longer need to worry about jobs disappearing after a day. You can query jobs a few days after submitting them, and have greater visibility over the jobs that you submitted throughout the week.

You can now create Outposts rack local gateway (LGW) inbound routes to redirect incoming traffic to an elastic network interface (ENI) attached to an Amazon EC2 instance before the traffic reaches your enterprise workloads running on your Outpost. The EC2 instance may run virtual network appliance software to inspect, modify, or filter network traffic before relaying the traffic to other EC2 instances.

We are excited to announce that registration for the FreeRTOS Extended Maintenance Plan (EMP) is now open. FreeRTOS is a real-time operating system for microcontrollers. FreeRTOS EMP subscriptions allow embedded developers to receive critical bug fixes and security patches on their chosen FreeRTOS Long Term Support (LTS) version for up to 10 years beyond the end of its initial support period. During the subscription period, developers will receive notifications for upcoming patches on FreeRTOS libraries, allowing them to systematically plan their product maintenance activities. This helps developers to secure their microcontroller-based devices for years, save operating system upgrade costs, and reduce the risk associated with patching their devices.

You can now use tags to better track and manage your AWS PrivateLink-powered VPC Endpoint Services. AWS PrivateLink is a fully-managed private connectivity solution that enables customers to connect to other services hosted on AWS using a secure and scalable method while keeping network traffic private.

Patch Manager, a capability of AWS Systems Manager, now helps you automate patch deployments for instances running SUSE Linux Enterprise Server (SLES) versions 15.2, 15.3, and 15.4, Oracle Linux versions 8.4 and 8.5, and Red Hat Enterprise Linux (RHEL) version 8.6. Patch Manager helps you automate the process of patching nodes with both security related and other types of updates. Patch Manager also helps you automate patch deployments for instances running Windows Server, RHEL, Ubuntu Server, Amazon Linux, Amazon Linux 2, CentOS, and SUSE Linux Enterprise Server (SLES).

Amazon AppFlow, a fully managed integration service that helps customers to securely transfer data between AWS services and software-as-a-service (SaaS) applications in just a few clicks, now supports deleting records in Salesforce. Customers of Amazon AppFlow may now execute Amazon Appflow flows which delete targeted records in a destination Salesforce instance. This new capability enhances Amazon AppFlow’s connector for Salesforce which already supports write methods such as Insert, Update, and Upsert.

Today, Amazon Web Services (AWS) announces the general availability of AWS Incident Detection and Response, that offers AWS Enterprise Support customers proactive monitoring and incident management for their selected workloads. AWS Incident Detection and Response is designed to help you improve your operations, increase workload resiliency, and accelerate your recovery from critical incidents. AWS Incident Detection and Response leverages the proven operational, enhanced monitoring, and incident management capabilities used internally by AWS teams and externally by AWS Managed Services (AMS).

Customers using CDK want a simple way to map the resources synthesized in a CloudFormation template back to the source CDK Construct. In an effort to display all resources in a CloudFormation template the Management Console loses the hierarchical nature of CDK Constructs, which customers are used to today. CDK Construct tree view in the CloudFormation console is intended for the customers who want to observe the context from which the resources were created to the CloudFormation console, in order to provide a better, focused experience.

Amazon Connect Customer Profiles is now available as a destination in the Amazon AppFlow console. With a few clicks, customers can now bring data from 20+ application connectors into Customer Profiles and equip contact center agents with the information needed to provide personalized customer service. Amazon AppFlow connectors allows ingestion of data such as transactions (e.g., purchase orders from SAP OData), profile information (e.g., leads from Zendesk Sell) and customer interactions (e.g., Slack conversations) to create a single, unified profile for each of your customers.

With direct VPC routing for AWS Outposts rack, you can now directly use the VPC private IP address of an Amazon EC2 instance on Outposts rack to communicate with your on-premises network. This new direct VPC routing mode is an alternative to the Customer-owned IP (CoIP) routing mode where Outposts rack uses a separate IP address pool provided by you from your on-premises network.

We are excited to announce that AWS Config has reduced conformance pack prices by up to 58% depending on your usage levels. A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an entire organization, helping you manage the compliance of your AWS resources at scale.

Today, we are announcing the availability of AWS Backup Audit Manager in the AWS Africa (Cape Town) and Europe (Milan) Regions. AWS Backup Audit Manager is a feature within the AWS Backup service that allows you to audit and report on the compliance of your data protection policies to help you meet your business and regulatory needs. AWS Backup enables you to centralize and automate data protection policies across AWS services based on organizational best practices and regulatory standards, and AWS Backup Audit Manager helps you maintain and demonstrate compliance with those policies. With AWS Backup Audit Manager, you can generate auditor-ready reports to help prove compliance of your data protection policies with your defined industry-specific regulatory requirements.

You can now use Apache HTTP webservers with AWS Certificate Manager (ACM) for Nitro Enclaves.

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the instance store for temporary tablespaces and the Database Smart Flash Cache (flash cache) for M5d and R5d instances. M5d and R5d instances are ideal 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.

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. We’re excited to introduce the Visual Conversation Builder, a drag and drop interface to visualize and build conversation flows in a no-code environment. The Visual Conversation Builder greatly simplifies bot design. In addition to the already available menu-based editor, and Lex APIs, the visual builder provides a complete view of the entire conversation flow in one location. It empowers any user to build engaging conversational experiences more quickly.

We are excited to introduce two new enhancements to AWS IoT Device Defender ML Detect, Custom Metrics and Dimensions support. ML Detect now supports monitoring of custom metrics, allowing you to evaluate operational health parameters that are unique to your fleet. Besides setting static alarms manually with Rules Detect, you can now use machine learning to automatically learn your fleet's expected behaviors on custom metrics. Further, with the new Dimensions filter support for ML Detect, you can define attributes to evaluate more precise metrics in your ML security profile.

AWS Transfer Family now supports up to ten host keys per SFTP server. In addition, ED25519 and ECDSA key types are now supported for server host keys. Previously, AWS Transfer Family only supported one host key per server, and only the RSA key type.

Starting today, Amazon EC2 C6gd instances powered by AWS Graviton2 processors are available in Europe (Stockholm) region. C6gd instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, scientific modelling, distributed analytics, and CPU-based machine learning inference. The local SSD storage provided on these instances will benefit applications that need access to high-speed, low latency storage, as well as for temporary storage of data such as batch and log processing, and for high-speed caches and scratch files.

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. SageMaker Studio comes with fast start, collaborative notebooks. You can quickly launch notebooks in Studio, easily dial up or down the underlying compute resources without interrupting your work, and even share your notebook as a link in few simple clicks. Today, we are excited to announce that Amazon SageMaker Studio notebooks now come with built-in integration with AWS Glue Interactive Sessions. Data scientists and data engineers can use the serverless Apache Spark runtime environment managed by AWS Glue Interactive Sessions to interactively prepare data at scale right in their Studio notebooks.

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. 

Amazon WorkSpaces is now available in the Africa (Cape Town) Region. This expansion into a new AWS Region allows you to provision WorkSpaces closer to your users, providing a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI).

Customers in the AWS Asia Pacific (Jakarta) Region can now use Amazon FSx for Lustre.

Starting today, memory optimized Amazon EC2 X2idn and X2iedn instances are available in Europe (Paris) region. X2idn and X2iedn instances, powered by 3rd generation Intel Xeon Scalable Processors (code named Ice Lake), are designed for memory-intensive workloads and deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. X2idn has a 16:1 ratio of memory to vCPU and X2iedn has a 32:1 ratio, making these instances a great fit for workloads such as in-memory databases and analytics, big data processing engines, and Electronic Design Automation (EDA) workloads. X2idn and X2iedn deliver up to 45% more SAPS than comparable X1 instances and 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. You can view the certification data for X2idn and X2iedn on the Certified and Supported SAP HANA Hardware Directory.

Amazon Relational Database Service (Amazon RDS) Performance Insights’ Top SQL tab shows the SQL queries that are contributing the most to database load. Starting today, we are increasing the top SQL queries displayed in Amazon RDS Performance Insights from 10 to 25. Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS and Amazon Aurora that helps you quickly assess the load on your database and determine when and where to take action.

Amazon SWF has launched a new console experience, making it easier for you to manage SWF workflows with more visibility and control.

AWS Firewall Manager now enables you to configure AWS WAF to add custom web requests and responses.

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 8.0.30. 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 numerous fixes, performance improvements, and new functionality added by the MySQL community.

Customers that use Amazon Simple Notification Service (Amazon SNS) can now host their applications in Europe (Milan), Africa (Cape Town), Asia Pacific (Osaka), and AWS GovCloud (US-East) regions, and send text messages (SMS) to consumers in more than 200 countries and territories. Using Amazon SNS, customers can send a message directly to one phone number, or multiple phone numbers at once by subscribing those phone numbers to a topic and sending messages to the topic.

Amazon Cognito hosted UI now enables end users to register their own authenticator apps. Customers can now enable users to self-enroll in either SMS based one-time-passwords (OTP) or a time-based-one-time-password (TOTP) authenticator app. Administrators no longer have to initiate end user enrollment when using TOTP with hosted UI. With this new addition, developers using hosted UI will now have the same level of security as before, but without having to develop any custom code, enabling them to focus on improving their application. Administrators will now spend less time onboarding end users to a higher level of authentication assurance. End users of the application now also have the convenience of adding their own authenticator apps and leveraging multi-factor authentication (MFA) when accessing applications that use Cognito hosted UI. Customers can benefit from a higher level of authentication for their applications at no additional cost.

Amazon SageMaker enables customers to deploy ML models to make predictions (also known as inference) for any use case. You can now deploy large models (up to 500GB) for inference on Amazon SageMaker’s Real-time and Asynchronous Inference options by configuring the maximum EBS volume size and timeout quotas. This launch enables customers to leverage SageMaker's fully managed Real-time and Asynchronous inference capabilities to deploy and manage large ML models such as variants of GPT and OPT.

Amazon QuickSight now supports ‘Missing Data’ control for both line and area charts. Previously, line charts only supported ‘missing data’ treatment for datetime fields. Now, we have added support for categorical data as well for both line and area charts. Instead of displaying broken lines (default behavior), Authors can also choose to display broken lines as either continuous lines by directly connecting to the next available data point in series or interpolate these missing values with zero and display a continuous lines. More details can be found here.

We are excited to announce that Amazon Personalize is increasing service limits and quotas for existing and new customers, making it easier to deploy Personalize at scale. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Prior to this launch, limits on the use of certain Personalize resources and the rate of data import API calls were set at the AWS account level. For example, customers could use a maximum of 10 filters at a given time in their AWS account. Similarly, customers were limited to 1,000 PutEvent requests per second for their AWS account. With this launch, Personalize transitioned these limits and others from an account level to a dataset group (DSG) level. Customers can now have up to 10 filters and 1,000 PutEvents per second, per DSG. You can create up to 5 dataset groups per account, meaning you can create a total of 50 filters and 5,000 PutEvents per second for each AWS account. This means higher capacity from Amazon Personalize for customers with multiple use-cases or multiple tenants using Amazon Personalize in their applications. These improvements also make it easier to request limit increases. By simply requesting an increase for DSGs via the AWS quotas console, customers will also benefit from increased limits on other resources and API rates, when aggregated at the account level.

Amazon Kinesis Data Analytics for Apache Flink now publishes three new container-level metrics to Amazon CloudWatch: CPU Utilization, Memory Utilization, and Disk Utilization of Flink Task Managers. Task Managers are the worker nodes of a Flink application that perform the data processing. These new metrics provide enhanced visibility to Task Manager resource usage and can be used to easily scale applications running on Kinesis Data Analytics.

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 IVR systems. Today, Amazon Lex introduces the composite slot type. A slot is used to capture user input and provide the bot the necessary information to fulfill a task. In some cases, the information contains multiple values, each requiring its own slot. For example, a customer making a payment may confirm credit card details to the bot (“Card ending in 5678 with an expiration of September 2025 and billing zip 94105”). Previously, bot builders had to elicit each slot individually (e.g., “Please provide last 4 of the card number”, “Now, please provide the expiration date on the card”). With the composite slot type, Amazon Lex can capture the full user response at once and associate each piece of information with the appropriate slot.

Seekable OCI (SOCI) is a technology open sourced by AWS that enables containers to launch faster by lazily loading the container image. SOCI works by creating an index (SOCI Index) of the files within an existing container image. This index is a key enabler to launching containers faster, providing the capability to extract an individual file from a container image before downloading the entire archive.

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning that enables data scientists and developers to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. SageMaker Studio is integrated with AWS CloudTrail to enable administrators to monitor and audit user activity and API calls from Studio notebooks, SageMaker Data Wrangler and SageMaker Canvas. Starting today, you can configure SageMaker Studio to also record the user identity (specifically, user profile name) in CloudTrail events thereby enabling administrators to attribute those events to specific users, thus improving their organization's security and governance posture.

QuickSight Q is now available in four new regions (in addition to six existing regions) - Asia Pacific (Mumbai, Singapore, Sydney) and Canada (Central). AWS customers can signup for QuickSight in these four new regions in addition to existing regions, details can also be found at AWS QuickSight Q regions. Get started with a free trial of Amazon QuickSight Q.

Amazon SageMaker Canvas announces additional capabilities for exploratory data analysis (EDA) with advanced visualizations, enabling you to explore and analyze your data better before building machine learning (ML) models. SageMaker Canvas is a visual point-and-click interface that enables business analysts to generate accurate ML predictions on their own — without requiring any machine learning experience or having to write a single line of code. 

AWS Backup now provides you a way to centrally view your Amazon CloudWatch metrics for your data protection jobs directly in the AWS Backup console. With this launch, you can monitor your data protection metrics (of backup, copy, and restore jobs) for all the AWS Backup supported services, spanning compute, storage, databases, and third-party applications. To drill down to a custom view, you can add your tracked metrics to a custom CloudWatch Dashboard using the "Add to dashboard" capability.

Starting today AWS Transit Gateway supports internet group management protocol (IGMP) multicast in Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions.

AWS CloudFormation announces the general availability of a new transform supporting extensions to the CloudFormation template language. AWS CloudFormation is an Infrastructure as Code (IaC) service that lets you model, provision, and manage AWS and third-party resources by authoring templates which are formatted text files in JSON or YAML. This release introduces a language transform called 'AWS::LanguageExtensions.' When declared in a template, the transform enables extensions to the template language. At launch, these include: new intrinsic functions for length (Fn::Length) and JSON string conversion (Fn::ToJsonString), and support for intrinsic functions and pseudo-parameter references in update and deletion policies.

AWS Fargate (Fargate), the serverless compute engine for Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), recently announced the migration of service quotas from the current Amazon ECS task and Amazon EKS pod count-based quotas to vCPU-based quotas. The migration to vCPU quotas will not have any impact on your running tasks and pods.

You can now deliver Amazon Virtual Private Cloud (VPC) Flow Logs directly to Amazon Kinesis Firehose, allowing you to stream your flow logs real-time to destinations supported by Amazon Kinesis Firehose or downstream logging solutions via custom HTTP endpoints.

Starting today, Amazon EC2 C6id, M6id and R6id instances are available in AWS Region Asia Pacific (Tokyo). C6id, M6id and R6id instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors, with an all-core turbo frequency of 3.5 GHz, up to 7.6 TB of local NVMe-based SSD block-level storage, and up to 15% better price performance than their 5th generation counterpart instances.

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text.

AWS Security Hub has launched a new control for its Foundational Security Best Practice standard (FSBP) to enhance your Cloud Security Posture Management (CSPM). This control conducts fully-automatic checks against security best practices for AWS Auto Scaling. If you have Security Hub set to automatically enable new controls and are already using AWS Foundational Security Best Practices, the control is enabled for you automatically. Security Hub now supports 224 security controls to automatically check your security posture in AWS.

Starting today, AWS Transit Gateway Connect is available in Asia Pacific (Osaka) and Asia Pacific (Jakarta) Regions.

Amazon Simple Notification Service (Amazon SNS) is launching a public preview of message data protection, a new set of capabilities for Amazon SNS Standard Topics that leverage pattern matching, machine learning models, and data protection policies to help security and engineering teams facilitate real-time data protection in their applications that use Amazon SNS to exchange high volumes of data.

We are excited to announce that you can now add up to 10 measures and 10 dimensions when setting up your detector for Amazon Lookout for Metrics. With this launch you can now include more measures and dimensions in a single detector, which allows you to get insights on root causes and causality across all the measures and dimensions that you have selected.

Amazon Managed Blockchain (AMB) Hyperledger Fabric is now generally available in AWS Govcloud (US-West) Region, allowing customers in both the public and commercial sectors to create as well as manage production-grade blockchain infrastructure with just a few clicks.

AWS Snowball devices are now available in the AWS Asia Pacific (Jakarta) Region.

Starting today, Amazon MemoryDB for Redis is generally available in two additional AWS Regions: Europe (Paris) and Europe (Milan).

Amazon Connect Voice ID now detects fraud risk from voice-based deception techniques such as voice manipulation during customer calls, helping you make your voice interactions more secure. For example, Voice ID can detect, in real-time, if an imposter is using a speech synthesizer to spoof a caller’s voice and bluff the agent or Interactive Voice Response (IVR) system. When such fraud is detected, Voice ID flags these calls as high risk in the Amazon Connect agent application, enabling you to take additional security measures or precautions. This feature works out-of-the-box once Voice ID fraud detection is enabled for a contact, and no additional configuration is required.

We are excited to announce two new widgets (Latest announcements and Recent AWS blog posts) are available on AWS Console Home. Using these widgets, you can more easily learn about new AWS capabilities and get the latest news about AWS launches, events, and more. The AWS blog posts and launch announcements shown are related to the services used in your applications.

AWS App Runner now supports Amazon Route 53 alias records for creating a root domain name. App Runner makes it easy for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without having to manage infrastructure. When you create an App Runner service, by default, App Runner allocates a domain name to your service. If you have your own domain name, you can associate it to your App Runner service as a custom domain name. Now, you can use Amazon Route 53 alias record to create a root domain or subdomain for your App Runner service. For example, with alias records your App Runner service can now directly listen on example.com which was not possible with only CNAME record support which requires you to prepend a hostname such as acme.example.com.

An additional 5 AWS Controllers for Kubernetes (ACK) service controllers have graduated to generally available status. Customers can now provision and manage AWS resources using ACK controllers for Amazon Relational Database Service (RDS), AWS Lambda, AWS Step Functions, Amazon Managed Service for Prometheus (AMP), and AWS Key Management Service (KMS).

We are excited to announce that you can now filter your data by its dimensions while using Amazon Lookout for Metrics. Amazon Lookout for Metrics uses machine learning (ML) to automatically monitor the metrics that are most important to businesses with greater speed and accuracy than traditional methods used for anomaly detection. The service also makes it easier to diagnose the root cause of anomalies like unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, increases in new user sign-ups, and many more.

Amazon DynamoDB transactions enable coordinated, all-or-nothing changes to multiple items both within and across tables. The maximum number of actions in a single transaction has now increased from 25 to 100.

Amazon Connect now provides a new API to search for queues in your Amazon Connect instance. This new API provides a programmatic and flexible way to search for queues by name, description, or tags. For example, you can now use this API to search for all queues with “priority” in the description. To learn more about this new API, see the API documentation.

AWS Trusted Advisor now supports a new check that recommends options for Microsoft Windows Server end of support (EOS) on Amazon Elastic Compute Cloud (Amazon EC2). The check inspects your Microsoft Windows Server workloads and automatically lists your Microsoft Windows Server instances that are at EOS or nearing EOS. For example, Microsoft Windows Server 2012/2012 R2 Extended support will end on October 10, 2023 and instances that will reach EOS in less than 18 months will be flagged in the Trusted Advisor console to help customers investigate further. Through the check recommendation, you can find flexible migration, modernization and upgrade options on AWS, based on best practices.

Amazon Managed Service for Prometheus now provides Alert Manager & Ruler logs to help customers troubleshoot their alerting pipeline and configuration in Amazon CloudWatch Logs. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a popular Cloud Native Computing Foundation open source project for monitoring and alerting that is optimized for container environments. The Alert Manager allows customers to group, route, deduplicate, and silence alarms before routing them to end users via Amazon Simple Notification Service (Amazon SNS). The Ruler allows customers to define recording and alerting rules, which are queries that are evaluated at regular intervals. With Alert Manager and Ruler logs, customers can troubleshoot issues in their alerting pipelines including missing Amazon SNS topic permissions, misconfigured alert manager routes, and rules that fail to execute.

Amazon Connect now provides a new API to search for routing profiles in your Amazon Connect instance. This new API provides a programmatic and flexible way to search for routing profiles by name, description, or tags. For example, you can now use this API to search for all routing profiles containing “sales” in the description. To learn more about this new API, see the API documentation.

Amazon Connect now supports AWS CloudFormation for instance creation. You can now use AWS CloudFormation templates to deploy Amazon Connect instances—along with the rest of your AWS infrastructure—in a secure, efficient, and repeatable way. Additionally, you can use AWS CloudFormation to deploy Amazon Connect instances along with other resources within the instance, including users, quick connects, and contact flows. For more information, see Amazon Connect Resource Type Reference in the AWS CloudFormation User Guide.

AWS Fargate, the serverless compute engine for Amazon Elastic Container Service (ECS), is now available in Middle East (UAE) Region. Fargate allows customers to deploy and manage containerized applications without having to manage any of the underlying infrastructure. Fargate makes it easier to scale applications and helps improve security through application isolation by design.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Today, Amazon Forecast is excited to announce the ability to customize the forecast frequency, enabling you to more closely align forecast intervals with your demand cycles. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts.

QuickSight Authors can now better analyze user activity; new enhancements to user activity in Topics make it easy for authors to - a. Identify questions that required user disambiguation to generate an answer, b. Filter questions based on whether they were answered or required user disambiguation and c. Filter questions based on the User who submitted the question. Authors can navigate to the User Activity section of a Topic and identify questions that required disambiguation with specific phrase highlighted, they can also filter the list of questions by choosing either “unanswered”, “has user disambiguations” or by typing in a specific User ID.

In May 2019, Amazon Elastic Block Store (EBS) launched the ability for customers to take crash-consistent snapshots of all Amazon EBS volumes attached to an Amazon EC2 instance with a single API call. Now you can choose to take crash-consistent snapshots of a subset of Amazon EBS data volumes attached to an Amazon EC2 instance. You can also use Amazon Data Lifecycle Manager (DLM) to automate taking crash-consistent snapshots of the same subset of Amazon EBS volumes on a retention schedule defined by DLM policies.

AWS Config conformance pack templates can now be stored in and deployed from AWS Systems Manager documents (SSM documents). Conformance packs are collections of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations. Conformance packs are defined through a YAML-based template and deployed by AWS Config. As templates are offline files, customers had to maintain manual processes for version control and sharing across accounts.

AWS Control Tower customers can now programmatically manage controls, also known as guardrails, across their organization at scale. Customers can programmatically enable, disable, and view application status of controls available in the AWS Control Tower library. Control APIs include AWS CloudFormation support, allowing customers to manage AWS resources as infrastructure as code (IaC). AWS Control Tower provides optional preventive and detective controls that customers can use to express their policy intentions to an entire organizational unit (OU), and every AWS account within the OU. These rules remain in effect as customers create new accounts or make changes to their existing accounts.

Amazon Polly is a service that turns text into lifelike speech. Today, we are excited to announce the general availability of all Neural Text-to-Speech (NTTS) voices in the Asia Pacific (Mumbai) Region.

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports PostgreSQL minor version 14.4. We recommend you upgrade to this latest minor version to fix known security vulnerabilities and bugs from prior versions of PostgreSQL. Please refer to the PostgreSQL community announcement for more details about the release.

SageMaker Autopilot automatically builds, trains and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, when creating Autopilot experiment to train a machine learning model, you can customize the splits of data used for training and validation of models. By default Autopilot splits the specified dataset into 80-20 percent splits reserved for training and validation respectively. With this release, you can customize the training and validation data split percentages or alternatively provide two datasets, one for training and another for validation. This feature is available for use in both Amazon SageMaker Studio and SageMaker Autopilot API.

Starting today, customers now have the option of using Enterprise On-Ramp Support or Enterprise Support to satisfy the prerequisite for ordering AWS Outposts. With the addition of Enterprise On-Ramp Support, customers now have more flexibility in selecting the AWS Support plan that best suits their Outposts workloads and support needs.

The AWS Serverless Application Model (SAM) Command Line Interface (CLI) announces general availability of esbuild support in SAM CLI. The AWS SAM CLI is a developer tool that makes it easier to build, test, package, and deploy serverless applications. Esbuild, “an extremely fast JavaScript bundler”, links JavaScript ( js , jsx , ts , and tsx ) and CSS dependencies as deployable assets for the web. Starting today, you can now use esbuild in the SAM CLI build workflow for your JavaScript applications.

AWS is launching additional APIs to create, read, update and delete users and groups in AWS IAM Identity Center (successor to AWS Single Sign-On). The new APIs expand existing capabilities to help reduce administrative effort and save time, and provide greater visibility into the users and groups that are available in IAM Identity Center. You can use the APIs for provisioning, de-provisioning or updating users and groups programmatically in a scalable manner. The new Identity Center directory APIs enable you to retrieve users and their group memberships from the Identity Center directory for audit and reconciliation purposes.

AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, and AD Connector are now available in the AWS Asia Pacific (Jakarta) Region.

We are excited to announce AWS GameKit is now available for the Unity game engine. AWS GameKit allows game developers to deploy and customize game backend features directly from a game engine. AWS GameKit launched on March 23, 2022 with support for Unreal Engine and with today’s release for Unity, game developers can integrate the following cloud-based game features into Win64, MacOS, Android, or iOS games from both the Unreal and Unity engines with just a few clicks: 

• Identity and Authentication: Create unique identities for each player and allow players to sign into the game. Verify player identities and manage player sessions.
• Achievements: Create and track game-related rewards earned by players.
• Game State Cloud Saving: Maintain a synchronized copy of player game progress in AWS to allow players to resume gameplay across sessions.
• User Gameplay Data: Maintain game-related data for each player, such as inventory, statistics, and cross-play persistence.

Inspector has added Windows Server 2012, 2012 R2, 2016, and 2019, 2022 support for continual EC2 vulnerability scanning. Customers that have Inspector EC2 scanning already enabled and the AWS Systems Manager (SSM) agent installed and configured, do not need to take any additional actions. Windows instances will now automatically and continually be scanned for software vulnerabilities and unintended network exposure. New customers can get started with Inspector with a single click in the AWS Management Console to start assessing for software vulnerabilities in their EC2 instances, both Windows and Linux, along with their container images in the Amazon Elastic Container Registry (ECR). A complete list of operating systems supported by Inspector can be found here.