Amazon Kinesis Data Analytics now allows you to Force Stop a running application and reset its status to Ready, giving you more control over your applications. In addition, you can check if your application is scaling up or down through the new ‘Autoscaling’ application status.
Amazon Inspector has expanded operating system support for Red Hat Enterprise Linux (RHEL) 8, Ubuntu 20.04 LTS, Debian 10, and Windows Server 2019
Customers can now assess their EC2 workloads running Red Hat Enterprise Linux (RHEL) 8, Ubuntu 20.04 LTS, Debian 10, and Windows Server 2019 for CVEs and external network accessibility using Inspector. Amazon Inspector is available in the following 14 regions: US East (Northern Virginia), US East (Ohio), US West (Northern California), US West (Oregon), EU (Frankfurt), EU (Ireland), EU (London), EU (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Sydney), Asia Pacific (Tokyo), AWS GovCloud (US-West), and AWS GovCloud (US-East).
Amazon EMR now supports placing your EMR master nodes in distinct racks to reduce risk of simultaneous failure
Amazon EMR now supports a spread placement group strategy for clusters with multiple master nodes. You can now launch master nodes across separate underlying hardware to reduce the risk of simultaneous failures that might occur when instances share the same racks. Earlier, master nodes were placed within the same subnet without any placement strategies.
AWS Glue Streaming ETL jobs support schema detection and evolution
Streaming extract, transform, and load (ETL) jobs in AWS Glue can now automatically detect the schema of incoming records and gracefully handle schema changes on a per-record basis. Previously, you needed to specify the schema of incoming data using the AWS Glue Data Catalog and update ETL scripts to handle schema changes. The AWS Glue job can now do both for you, saving time on reworking code and increasing the flexibility of your ETL jobs.
Amazon EventBridge announces support for Dead Letter Queues
Amazon EventBridge now supports Dead Letter Queues (DLQs), which make event-driven applications more resilient and durable by storing your events in queues when the events can’t be delivered, or the target is unavailable.
AWS Lake Formation now supports cross account database sharing
AWS Lake Formation now supports cross account database sharing. You can now create cross account data lakes to access data across your organization and eliminate data silos.
AWS CodeArtifact now supports AWS CloudFormation
AWS CodeArtifact now supports AWS CloudFormation, enabling customers to create and manage CodeArtifact repositories with CloudFormation.
Amazon ElastiCache on Outposts is now available
Amazon ElastiCache is now available on AWS Outposts. AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. You can deploy Amazon ElastiCache on Outposts to set up, operate, and use cache on-premises, just as you would in the cloud. Amazon ElastiCache provides cost-efficient and resizable capacity for caching in Outposts, while automating time-consuming administration tasks including infrastructure provisioning, cluster setup, patching, and backups, freeing you to focus on your applications.
AWS IoT SiteWise is now available in Asia Pacific (Singapore) and Asia Pacific (Sydney) AWS regions
AWS IoT SiteWise is now available in the Sydney and Singapore AWS Regions, extending the footprint to 6 AWS Regions.
AWS Elastic Beanstalk Adds Support for Running Multi-Container Applications on AL2 based Docker Platform
You can now run multi-container applications in AWS Elastic Beanstalk using the Docker platform built on top of Amazon Linux 2 Operating System. The Elastic Beanstalk Docker on Amazon Linux 2 platform now supports docker-compose.yml format to define and run multiple containers. For more information about Docker on Amazon Linux 2 platform, see the Elastic Beanstalk developer guide .