Today, Amazon Elastic Container Service (Amazon ECS) announced a new feature that enables customers to add automated safeguards for Amazon ECS service rolling updates. You can now monitor and automatically react to changes during an Amazon ECS rolling update by using Amazon CloudWatch alarms. This enables you to more easily automate discovery and remediation for failed deployments and minimize the impact of a bad change.

Today, AWS Systems Manager announces the launch of Quick Setup for Resource Scheduler, based on AWS Solutions’ Instance Scheduler. Quick Setup for Resource Scheduler provides a user interface in the console which enables you to easily configure schedules for your instances to optimize compute capacity and save costs across accounts and Regions in your Organization. In this way, you can ensure that EC2 instances only run when they are really needed. For example, you can schedule that targeted instances stop running outside of weekly business hours, during weekends or bank holidays. To learn more, visit this blog .

On December 15 2022, AWS Migration Hub Refactor Spaces launched support for AWS Lambda aliases as Refactor Spaces Service endpoints. You can now use Lambda aliases with Refactor Spaces to route traffic to specific versions of a Lambda function and configure provisioned concurrency to mitigate Lambda cold starts.

Starting today, AWS Resource Access Manager (AWS RAM) is available for use in the AWS Europe (Zurich) Region.

Amazon SageMaker Automatic Model Tuning now gives you the option to set the seed to generate random hyperparameters for more reproducible tuning results. This enables use cases where you need to be able to reproduce your tuning job results, such as for compliance or regulatory reasons.

Today, we are excited to announce the launch of a new Security Hub widget on AWS Console Home, providing a summary of your security posture generated by the security checks that you have enabled in your account using AWS Security Hub. 

Amazon EC2 announces pagination for the EC2 DescribeImages API. It allows you to describe your images over a number of API requests, instead a single one. You can specify a page size when calling the API, which will be used as the upper bound for resources to return in a single request. A pagination token is returned on the response, which you can then include in your next API request to fetch the next page of images.

Amazon Lookout for Equipment analyzes equipment sensor data to train and build a machine learning model for your equipment – with no ML expertise required. Lookout for Equipment uses your unique ML model(s) and in real-time helps accurately identify early warning signs that could lead to machine failures. This helps you detect equipment abnormalities with speed and precision, quickly diagnose issues, and take action to reduce expensive downtime.

Amazon MQ now provides support for RabbitMQ version 3.9.24, which includes several fixes to the previously supported version, RabbitMQ 3.9.20.