Amazon Elastic Container Service (ECS) now supports the capability for customers to lookup the runtime container IDs of containers running as part of an ECS task. Previously, customers had to stitch together multiple APIs to associate the runtime container ids of containers to the respective ECS task. This association was useful for use cases such as debugging. Now, the describe-tasks and stop-task APIs return the runtime container id for all the containers within an ECS task. This means customers have a simplified workflow to diagnose errors by searching through log files for the failed containers and mapping them to respective tasks. 

You can now monitor, isolate, and diagnose your containerized applications and microservices environments using Amazon CloudWatch Container Insights. Part of Amazon CloudWatch, a fully managed service, this new feature gives DevOps and systems engineers access to automated dashboards summarizing the performance and health of their Amazon Elastic Container Service (ECS), AWS Fargate, Amazon Elastic Container Service for Kubernetes (EKS), and Kubernetes clusters by pod, node, namespace, task, container, and service.

Starting today, customers can suspend and resume any of their AWS Application Auto Scaling actions.

AWS Application Auto Scaling allows you to automatically scale compute and data resources such as Amazon DynamoDB, Amazon ECS, Amazon RDS Aurora replicas, Amazon EC2 Spot Fleet, Amazon SageMaker, Amazon EMR, and Amazon AppStream 2.0. Now you can suspend and resume the scaling actions on any of these resources without having to delete the scaling policies or scheduled actions. You can suspend and later resume any of the following scaling actions using the new feature: scheduled scaling actions, dynamic scaling-in actions, dynamic scaling-out actions.

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You can now view your Amazon SageMaker Notebook logs in Amazon Cloudwatch. Notebook logs provide key details such as events, metrics, and health information, which can be used to generate actionable insights about your SageMaker notebooks. 

AWS Site-to-Site Virtual Private Network (AWS Site-to-Site VPN) has expanded VPN tunnel options to allow you to restrict security algorithms and configure timer settings for new and existing VPN connections. This allows you to enforce your security and compliance standards, and enables you to establish tunnels without having to change timer settings on customer gateway devices.

Amazon ElastiCache for Redis now supports encryption at rest using customer managed customer master keys (CMKs) in AWS Key Management Service (KMS). You can now use your own CMKs to encrypt data at rest in ElastiCache for Redis. Customer managed CMKs are CMKs in your AWS account that you create, own and manage. When you enable encryption at rest with CMKs, Amazon ElastiCache for Redis encrypts all data on disk including service backups stored in Amazon S3 with your encryption key.

Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity available in the AWS Cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and other test & development workloads. Spot Instances are easy to launch, scale and manage through AWS services like Amazon EC2 Auto Scaling, Amazon ECS and Amazon EMR, or integrated third parties like Terraform and Jenkins.

AWS Chatbot now makes it easy to receive notifications from AWS Systems Manager in your team’s Slack channels and Amazon Chime chat rooms. For example, you can receive notifications about configuration compliance or status change for a Run Command. Receiving notifications in your channels or chat rooms enables your entire team to review and collaborate quickly.

Details: Amazon CloudFront announces its first Edge Location in Manama, Bahrain. With this new Edge location, viewers in Bahrain will now see up to a 40% improvement in latency when accessing content through CloudFront. CloudFront now has 189 Points of Presence spread across 71 cities in 32 countries.

A full list of CloudFront’s global infrastructure is available at CloudFront Features .

Machine to Cloud Connectivity Framework is a solution that provides secure factory equipment connectivity to the AWS Cloud. The solution features fast and robust data ingestion; highly reliable and durable storage of equipment data; and serverless event-driven applications that help manage the factory configuration. The solution is easy to deploy, and can help drive an increase in plant efficiency and uptime, improve production flexibility, and identify new business opportunities.