2/27/2023, 12:00:00 AM ~ 2/28/2023, 12:00:00 AM (UTC)

Recent Announcements

AWS Service Catalog now supports the ability to disassociate and delete products in one-action

AWS Service Catalog customers can now disassociate and delete their AWS Service Catalog products in one-action, making it easier to update and manage their catalog of AWS resources.

Amazon CloudWatch Internet Monitor is now generally available

Today, AWS announces the general availability of Amazon CloudWatch Internet Monitor, a feature of Amazon CloudWatch that helps you monitor internet availability and performance metrics between your AWS-hosted applications and application end users.

SageMaker Autopilot now offers the ability to select algorithms while launching a machine learning training experiment

Amazon SageMaker Autopilot, a low-code machine learning (ML) service which automatically builds, trains and tunes the best ML models based on your data, now supports selection of underlying training algorithms while creating an Autopilot experiment. The ability to select algorithms provides you the flexibility to customize your AutoML journey and complete experiments much faster.

Amazon ECS now supports deletion of inactive task definition revisions

Amazon Elastic Container Services (Amazon ECS) now enables customers to delete inactive task definition revisions programmatically or via the Amazon ECS console. With this new capability, customers can permanently delete task definition revisions that are no longer needed or contain undesirable configurations, simplifying their resource management and improving security posture.

AWS Lake Formation extends Data Filters to all regions for supported services

AWS Lake Formation is a service that makes it simple to set up a secure data lake in days. A data lake is a centralized, curated, and secure repository that stores your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better decisions.

Amazon Aurora Serverless v1 now supports customer configurable maintenance windows

Amazon Aurora Serverless v1 now allows you to select a specific window for scheduling a maintenance event. You can use the maintenance window to specify, for example, when your PostgreSQL 10 cluster gets upgraded to PostgreSQL 11. You can set the maintenance window with just a few clicks in the AWS Management Console or using the latest AWS SDK or CLI. Review the Aurora documentation to learn more.

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