AWS RoboMaker, a service that makes it easy to develop, simulate, and deploy robotics applications, now supports creating simulation jobs in batch with a single API call. The new support for batch simulations allows developers to easily create multiple simulation jobs for use cases like automated regression testing and reinforcement learning model training. The batch API also provides a queueing capability so that a developer can now submit more simulation jobs than is possible with the existing concurrent job execution limit. The batch API will queue up all the submitted jobs and execute them in batches based on the concurrent execution limit.

You can now enable AWS X-Ray for your APIs in AWS AppSync, making it easier to trace and analyze user requests as they travel through the APIs to the backend data sources.

You can now use Amazon Elastic Filesystem (EFS) in AWS CodeBuild build jobs. This can be achieved by specifying the EFS file system Id in your CodeBuild Project . 

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.  

Use the new Amazon CloudWatch metrics for Amazon DynamoDB Accelerator (DAX) to better understand your DAX clusters’ performance. Determine more easily whether you need to scale up your cluster because you’re reaching peak utilization, or if you can scale down because your cache is underutilized. 

Updates to your containers orchestrated by Amazon Elastic Container Service (Amazon ECS) can now be performed using canary or linear deployment strategies by using AWS CodeDeploy.

This Quick Start automatically deploys Provectus Streaming Data Platform in the Amazon Web Services (AWS) Cloud in about 20 minutes. This Quick Start is for users who are interested in enabling real-time analytics and want to explore capabilities of a streaming-first data platform.

You can now use the DescribeImages  API to determine the billing product information associated with an Amazon Machine Image (AMI). By making it easier to obtain the platform details and billing information of AMIs, this release reduces the chances of erroneously launching instances from incorrect AMIs, and assists with inventory planning and reporting. Starting today, this capability is available in all AWS commercial Regions and AWS GovCloud (US) Regions from API and CLI. Visit our documentation page to learn more.

Amazon Lex now supports Alphanumeric slot type allowing you to easily define slots such as flight confirmation code that contain combination of letters and numbers. Up until now, you had to create a custom slot type with a large range of sample values. By using the Alphanumeric slot type you can quickly set up a slot to capture alphanumeric information. Further, you can extend this slot type to restrict the user input to a fixed format by specifying a regular expression. 

You can now use AWS PrivateLink to privately access Amazon RDS Data API for Aurora Serverless from your Amazon Virtual Private Cloud (Amazon VPC) without using public IPs, and without requiring the traffic to traverse across the Internet. You can now submit your SQL statements to Amazon RDS Data API without requiring an Internet Gateway in your VPC. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications, securely on the Amazon network. Amazon RDS Data API customers can now use private IP connectivity and security groups to meet their specific compliance requirements.