You can now write the results of an Amazon Redshift query to an external table in Amazon S3 either in text or Apache Parquet formats. The external table metadata will be automatically updated and can be stored in AWS Glue, AWS Lake Formation, or your Hive Metastore data catalog. This enables you to easily share your data in the data lake and have it immediately available for analysis with Amazon Redshift Spectrum and other AWS services such as Amazon Athena, Amazon EMR, and Amazon SageMaker. Amazon Redshift Spectrum enables you to power a lake house architecture to directly query and join data across your data warehouse and data lake.

Amazon CloudWatch Application Insights launched several new features to enhance observability for customers’ applications. Starting today, CloudWatch Application Insights expands monitoring support for two databases, in addition to Microsoft SQL Server – MySQL and Amazon DynamoDB. This enables customers to easily configure monitors for these databases on CloudWatch and detect common errors such as slow queries, transaction conflicts, and replication latency.

Following the April 24, 2020 announcement of the availability of PostgreSQL 11 support with Amazon Aurora with PostgreSQL compatibility in all commercial AWS Regions, we have expanded availability to AWS GovCloud (US) Regions. PostgreSQL 11 includes major improvements to partitioning, improvements to parallelism, and many other useful performance improvements like adding columns with a non-null column default faster. This version includes SQL stored procedures that allow embedded transactions within a procedure.

You can now filter queue metrics by channel within contact flows for a single queue. With the launch of chat, queue metrics blended both voice and chat contacts. Now you can filter queue metrics by contact type when configuring the ‘Get queue metrics’ block. For example, based on the number of contacts in a blended queue, the contact flow designer can calculate the effective hold time to manage the duration a customer spends waiting.

You can now restrict direct access to AWS Elemental MediaPackage by securing requests for VOD content using CDN authorization. With CDN authorization, content requests require a specific HTTP origin header and authorization code. MediaPackage verifies this code before it serves any content. For instructions on how to configure CDN authorization for live endpoints, please refer to the documentation pages .

Amazon Elastic Container Service (ECS) cluster auto scaling is now available in seven additional regions: Europe (Paris), Europe (Stockholm), Middle East (Bahrain), South America (São Paulo), Asia Pacific (Hong Kong), China (Beijing), operated by Sinnet, and China (Ningxia), operated by NWCD.

Amazon Aurora with PostgreSQL compatibility now supports T3.large instances, in addition to the T3.medium and R5 class instances already available. Using T3.large instances with Amazon Aurora PostgreSQL is a cost-effective option for smaller workloads such as test, dev, and QA, while still giving you the option to use larger class instances for production deployments.

Amazon Elastic Container Service (ECS) has added support for AWS PrivateLink in three additional regions: Africa (Cape Town), Europe (Milan), and Middle East (Bahrain).

Amazon EC2 has the cloud’s broadest and most capable portfolio of hardware-accelerated instances featuring GPUs, FPGAs, and our own custom ML inference chip, AWS Inferentia. G4dn instances offer the best price/performance for GPU based ML inference, training less-complex ML models, graphics applications others that need access to NVIDIA libraries such as CUDA, CuDNN and NVENC.

Amazon Augmented AI (Amazon A2I) is an AWS service that makes it easy to build the workflows required for human review of ML predictions (such as predictions from Amazon Rekognition, Amazon Textract, Amazon Translate or Amazon Comprehend). Amazon A2I provides you the option to work with human reviewers or “workers” inside your own organization through a private workforce, Amazon Mechanical Turk workforce of over 500,000 independent contractors, or vendor-managed workforces pre-screened by AWS for quality and security procedures. Starting today, for your private workforce, Amazon A2I provides additional metadata for each worker that reviews your data, enabling you to uniquely identify them and implement quality control for your workforce.