The AWS Well-Architected Tool (AWS WA Tool) now supports the AWS Serverless Lens, which provides best practices for reviewing serverless workloads.

You can now run your python applications on AWS Elastic Beanstalk using Python 3.7 on Amazon Linux 2 beta platform. The Python 3.7 on Amazon Linux 2 beta platform comes with several improvements and major new features including support for Pipfile and Gunicorn. For a complete list of Python 3.7 features, visit the official Python 3.7 release announcement .

Amazon RDS for Oracle enables you to use the Federal Information Processing Standard (FIPS) 140-2 for the Secure Socket Layer (SSL). FIPS 140-2 is a U.S. government standard that defines cryptographic module security requirements.

Following the announcement of updates to the PostgreSQL database , we have updated Amazon RDS for PostgreSQL to support PostgreSQL minor versions 11.6, 10.11, 9.6.16, and 9.5.20. This release contains bug fixes and improvements done by the PostgreSQL community. 

Starting today, Amazon RDS for PostgreSQL supports 8xlarge and 16xlarge sizes for db.m5 and db.r5 instance classes. With support for these new instance sizes, customers who are currently using m4.10xlarge, m4.16xlarge, r4.8xlarge, or r4.16xlarge now have an easy upgrade path to the latest generation of instances.  

Amazon EventBridge now provides additional content filtering options for builders designing event-driven architectures. With event pattern content filtering, you can write complex rules that only trigger under conditions you specify. This helps reduce the amount of custom code needed in downstream services by handling content filtering at the event bus using a declarative approach. 

Amazon EC2 is transitioning On-Demand Instance limits from the current instance count-based limits to new vCPU-based limits to simplify the limit management experience for AWS customers. Usage toward the vCPU-based limit is measured in terms of number of vCPUs (virtual central processing units) for the Amazon EC2 Instance Types launched. 

AWS Managed Services (AMS) announces support for 8 additional AWS services. With this release, the total number of services supported by AMS has increased to 69, including AWS Transfer for SFTP, a much requested service. In addition to running AWS services within secure and operated AMS managed accounts, you can self provision and configure these services directly in the AWS Console or the APIs. These services fall into the second pricing tier for AMS that is lower for certain groups of AWS services where more of the day-to-day operations is handled by the service itself; 12% for AMS Plus and 18% for AMS Premium.  

This Quick Start automatically deploys the Poly-integrated Amazon Connect Contact Control Panel (CCP) in the Amazon Web Services (AWS) Cloud in about 30 minutes. This Quick Start is for users who have already configured an Amazon Connect instance in their AWS account and want to enable support for Poly, which provides headset button call control. 

Amazon Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in Amazon Personalize, with no prior machine learning experience. AWS is pleased to announce that Amazon Personalize now supports ten times more item attributes. Previously, you could use up to five item attributes while building an ML model in Amazon Personalize. This limit is now 50 attributes. You can now use more information about your items, for example, category, brand, price, duration, size, author, year of release etc., to increase the relevance of recommendations.