EMR Notebooks is a managed service that provides a full-managed, Jupyter-based notebook to data scientists. A Jupyter kernel provides programming language support in Jupyter. EMR IPython is the default kernel. Additional kernels include R, Julia, and many more . Today we are announcing a new feature that allows data scientists, analysts, and engineers to install and execute custom kernels on the EMR cluster directly from the EMR Notebook. Before this feature, installing custom kernels on a cluster required a multi-step installation process.

Amazon Elasticsearch Service now offers anomaly detection, which uses machine learning to detect anomalies on real-time streaming data and identifies issues as they evolve so you can mitigate them immediately. This new feature is built on Random Cut Forests (RCF), a proven algorithm for real-time streaming, and is domain agnostic, making it a great choice for a wide range of log analytics applications.

AWS Elemental MediaConvert now offers the ability to encode WebM outputs using VP8 or VP9 video with Vorbis or Opus audio. This addition gives you greater choice when selecting a format for distributing video for browser-based and mobile device playback.

Amazon Aurora Serverless with PostgreSQL compatibility is now available in the Europe (Frankfurt) region. 

You can now run your applications on the AWS Elastic Beanstalk using the new generation of Tomcat Elastic Beanstalk platforms built on top of Amazon Linux 2 Operating System.

Starting today, new Amazon Elastic Compute Cloud (Amazon EC2) C5a instances featuring 2nd generation AMD EPYC™ processors running at frequencies up to 3.3 GHz are generally available. C5a instances are variants of Amazon EC2’s compute-optimized (C5) instance family and provide high performance at 10% lower cost over comparable instances. C5a instances deliver leading x86 price-performance for a broad set of compute-intensive workloads including batch processing, distributed analytics, data transformations, log analysis, and web applications.

Following the announcement of updates to the PostgreSQL database , we have updated Amazon Aurora with PostgreSQL Compatibility to support PostgreSQL minor versions 11.7, 10.12, and 9.6.17. These releases contains bug fixes and improvements from the PostgreSQL community, as well as bug fixes and improvements specific to Aurora PostgreSQL .

Amazon Aurora with PostgreSQL Compatibility has added support for managing the recovery point objective (RPO) in an Aurora PostgreSQL Global Database configuration.

AWS Config now offers a new conformance pack template that is intended to help you verify your compliance with NIST CSF operational best practices .

AWS Config now supports nine new managed rules, which are predefined rules that can help you evaluate whether your AWS resource configurations comply with common best practices.