Amazon Elastic Container Service (ECS) Cluster Auto Scaling is now available. With ECS Cluster Auto Scaling, your ECS clusters running on EC2 can automatically scale as needed to meet the resource demands of all tasks and services in your cluster, including scaling to and from zero. Managed scaling with ECS Cluster Auto Scaling improves the reliability, scalability, and cost of running containerized workloads on ECS. 

Amazon Chime now hosts meetings in 14 AWS Regions and 32 Availability Zones. Amazon Chime now automatically selects the region that provides a low latency for all meeting participants, whether they are all local in one place or distributed globally. Meeting region selection is performed for every meeting based on participant proximity to AWS Regions and AWS network telemetry.

The AWS Nitro System is the underlying platform for the latest generation of EC2 instances that enables AWS to innovate faster, further reduce cost for our customers, and deliver added benefits like increased security and new instance types. With the latest set of enhancements to the Nitro system, all new C5/C5d/C5n, M5/M5d/M5n/M5dn, R5/R5d/R5n/R5dn, and P3dn instances now support 36% higher EBS-optimized instance bandwidth, up to 19 Gbps. Also, 6, 9, and 12 TB Amazon EC2 High Memory instances can now support 19 Gbps of EBS-optimized instance bandwidth, a 36% increase from 14 Gbps. 

Today, we are announcing EBS direct APIs for Snapshots that provide read access to EBS snapshots. Backup providers can now easily track incremental changes on EBS volumes via EBS snapshots and streamline their workflows to reduce backup times by up to 70%. This enables them to provide more granular recovery point objectives (RPOs) to AWS customers at lower costs.

AWS Fargate now supports Fargate Spot, a new deployment option on AWS Fargate to run fault-tolerant applications with up to 70% discount compared to Fargate prices. Starting today, Fargate Spot is supported for applications orchestrated by Amazon ECS.  

Contact Lens for Amazon Connect is a set of integrated ML analytics capabilities for Amazon Connect that gives contact centers the ability to understand the sentiment, trends, and compliance of customer conversations to improve customer experience and identify crucial customer feedback.

Express Workflows are a new type of AWS Step Functions workflow type that cost-effectively orchestrate AWS compute, database, and messaging services at event rates greater than 100,000 events per second. Express Workflows automatically start in response to events such as HTTP requests via Amazon API Gateway, AWS Lambda requests, AWS IoT Rules Engine actions, and over 100 other AWS and SaaS event sources from Amazon EventBridge. Express Workflows is suitable for high-volume event processing workloads such as IoT data ingestion, streaming data processing and transformation, and high-volume microservices orchestration.

Today, Amazon Web Services (AWS) launched Amazon Rekognition Custom Labels, a new feature of Amazon Rekognition that enables customers to build their own machine learning (ML) based image analysis capabilities to detect unique objects and scenes, relevant to their business need. For example, customers using Amazon Rekognition to detect machine parts from images can now train a ML model with a small set of labeled images to detect “turbochargers” and “torque converters” without needing any ML expertise. Instead of having to train a model from scratch, which requires specialized machine learning expertise and millions of high-quality labeled images, customers can now use Amazon Rekognition Custom Labels to achieve state-of-the-art performance for their unique image analysis needs. 

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), is now available in preview. RDS Proxy makes applications more scalable, more resilient to database failures, and more secure.

AWS Security Hub now integrates with AWS Identity and Access Management (IAM) Access Analyzer. IAM Access Analyzer is an IAM feature that that makes it simple for security teams and administrators to check that their policies provide only the intended access to resources. The IAM Access Analyzer integration with Security Hub will send findings to Security Hub when policies allow public or cross-account access to resources. Security Hub will automatically enable this integration if you are already using IAM Access Analyzer, and you will begin receiving findings from IAM Access Analyzer without any action needed on your end. To learn more, visit the Integration page in the Security Hub console and click on the “Configuration” link for IAM Access Analyzer.