AWS Systems Manager now supports Amazon Virtual Private Cloud (Amazon VPC) endpoint policies, which allow you to configure access to the Systems Manager API. When you create Amazon VPC endpoints for Systems Manager, you can attach AWS Identity and Access Management (IAM) resource policies that restrict user access to Systems Manager API operations, when these operations are accessed via the Amazon VPC endpoint. For example, you can limit certain users to only be able to list Systems Manager Run Command invocations but not to send any command invocations. You can also restrict specific users’ ability to start a Systems Manager Session Manager session.
AWS Security Hub integrates with AWS Organizations for simplified security posture management
AWS Security Hub is now integrated with AWS Organizations to simplify security posture management across all of your existing and future AWS accounts in an organization. With this launch, new and existing Security Hub customers can delegate any account in their organization as the Security Hub administrator and centrally view security findings from up to 5,000 AWS accounts. The integration with AWS Organizations allows you to automatically enable Security Hub and its automated security checks in any existing and newly created accounts in the organization. You can also now see AWS account names alongside account IDs in the Security Hub console. Customers using Security Hub’s existing multi-account management feature can transition to this new AWS Organizations-enabled multi-account management without any disruption to existing Security Hub usage. This feature is available today in all Security Hub supported AWS regions except in the AWS China (Beijing) Region operated by Sinnet and in the AWS China (Ningxia) Region operated by NWCD. To learn more, see the Security Hub User Guide for account management .
AWS Copilot CLI is now Generally Available
AWS Copilot CLI for Amazon Elastic Container Service (Amazon ECS) is now generally available with v1.0.0. The AWS Copilot CLI makes it easy to build, release, and operate production-ready containerized applications on Amazon ECS with the Fargate launch type. AWS Copilot incorporates AWS’s best practices, from infrastructure-as-code to continuous delivery, and makes them available to customers from the comfort of their terminal. With AWS Copilot, you can focus on building your applications instead of setting up infrastructure.
Amazon CloudWatch Synthetics launches enhancements for API monitoring
CloudWatch Synthetics now supports monitoring multiple APIs in a single canary and viewing detailed HTTP request reports by using the new minor runtime version, syn-nodejs-2.2. This gives you flexibility to test multiple HTTP requests together and individually monitor metrics of each request.
Amazon AppFlow expands integrations with ServiceNow
Amazon AppFlow, a fully managed integration service that enables customers to securely transfer data between AWS services and cloud applications, now supports import of all standard and custom tables from ServiceNow into Amazon S3.
AWS Pricing Calculator now supports Amazon DynamoDB
AWS Pricing Calculator now supports Amazon DynamoDB. Estimate the cost of DynamoDB workloads before you build them, including the cost of features such as on-demand capacity mode, backup and restore, DynamoDB Streams, and DynamoDB Accelerator (DAX).
Amazon SageMaker Studio is now expanded to AWS regions worldwide
Amazon SageMaker Studio is now available in thirteen more AWS regions, bringing its total available regions to twenty-two. Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, giving you complete access, control, and visibility required to build, train, and deploy models. Within the unified SageMaker Studio visual interface, you can perform all ML development activities including notebooks, experiment management, automatic model creation, debugging, and model drift detection.
Now you can use Amazon Kinesis Data Streams to capture item-level changes in your Amazon DynamoDB tables
With Amazon Kinesis Data Streams for Amazon DynamoDB, you can capture item-level changes in your DynamoDB tables as a Kinesis data stream. You can enable streaming to a Kinesis data stream on your table with a single click in the DynamoDB console, or via the AWS API or AWS CLI.
You now can use a SQL-compatible query language to query, insert, update, and delete table data in Amazon DynamoDB
You now can use PartiQL (a SQL-compatible query language)—in addition to already-available DynamoDB operations—to query, insert, update, and delete table data in Amazon DynamoDB. PartiQL makes it easier to interact with DynamoDB and run queries in the AWS Management Console. Because PartiQL is supported for all DynamoDB data-plane operations, it can help improve the productivity of developers by enabling them to use a familiar, structured query language to perform these operations.
Amazon Polly NTTS voices now available in AWS GovCloud (US-West)
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 AWS GovCloud (US-West) Region. You can now synthesize over 15 NTTS voices, including the Newscaster and Conversational speaking styles. In addition, you can continue to synthesize the over 60 standard voices available in 29 languages in the Amazon Polly portfolio.