You now can restore Amazon DynamoDB tables even faster when recovering from data loss or corruption. The increased efficiency of restores and their ability to better accommodate workloads with imbalanced write patterns reduce table restore times across base tables of all sizes and data distributions. To accelerate the speed of restores for tables with secondary indexes, you can exclude some or all secondary indexes from being created with the restored tables. 

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.

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 .  

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. 

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 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.

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).

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. 

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.  

AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Amazon Aurora Serverless (PostgreSQL-compatible edition) as a target. Amazon Aurora Serverless (PostgreSQL-compatible edition) is an on-demand, auto-scaling configuration where the database will automatically start up, shut down, and scale capacity up or down based on your application’s needs. Using AWS DMS, you can now perform live migrations from any AWS DMS supported sources to Amazon Aurora Serverless (PostgreSQL-compatible edition) with minimal downtime.