Amazon Athena has added support for Partition Projection, a new functionality that you can use to speed up query processing of highly partitioned tables and automate partition management.
Announcing AWS PrivateLink Support for Amazon Transcribe Real-Time Streaming
Amazon Transcribe is an automatic speech recognition (ASR) service that you can use to add speech-to-text capabilities to your applications. Starting today, AWS customers can use AWS PrivateLink to access the Amazon Transcribe real-time streaming API from their Amazon Virtual Private Cloud (Amazon VPC) without using public IPs, and without requiring the traffic to traverse the Internet. AWS PrivateLink provides private connectivity between VPCs and AWS services, without ever leaving the Amazon network.
AWS Elastic Beanstalk Announces .NET Core on Linux Platform
You can now run .NET Core applications on AWS Elastic Beanstalk using the new .NET Core Elastic Beanstalk platform built on top of Amazon Linux 2 Operating System. The .NET Core on Amazon Linux 2 platform version comes with nginx as a reverse proxy server and supports .NET Core 3.1 and .NET Core 2.1 frameworks. See Release Notes for additional details. Learn more about using the .NET Core on Linux platform from this blog post .
Announcing availability of AWS Outposts in nine additional countries in Africa, Asia Pacific, Latin America, and Middle East
AWS Outposts can now be shipped and installed at customer datacenters and on-premises locations in Brazil, India, Israel, Malaysia, Mexico, New Zealand, South Africa, Taiwan, and Thailand, and supported in three additional Regions: AWS Africa (Cape Town) Region, Asia Pacific (Mumbai) Region, and South America (São Paulo) Region.
Amazon Database Migration Accelerator is now available
Amazon Web Services (AWS) announces the launch of Amazon Database Migration Accelerator (DMA). Amazon DMA is a solution that helps customers migrate away from traditional commercial databases at fixed prices. At launch, we offer Amazon DMA to customers interested in migrating from Oracle or SQL Server to Amazon Aurora, or Amazon Relational Database Service (RDS) for MySQL or PostgreSQL. Amazon DMA helps customers reduce the risk of budget overruns and delays that frequently affect traditional migrations by using automated tooling and AWS database migration experts. Over time, Amazon DMA will expand to include additional source and target databases, data warehouses, and analytics systems. Amazon DMA complements migration offerings from APN partners to offer customers the flexibility to choose the appropriate implementation solution.
Manage your AWS Identity and Access Management quotas with AWS Service Quotas
AWS Identity and Access Management (IAM ) administrators can now view and manage their IAM quotas through AWS Service Quotas .
Amazon RDS for MySQL now Supports Minor Versions 5.6.48 and 5.7.30
Amazon RDS for MySQL has been updated to support release 5.6.48 and release 5.7.30 of the MySQL database. These releases include a number of bug fixes as well as functionality improvements.
Announcing Cross-Cluster Search support for Amazon Elasticsearch Service for AWS GovCloud (US)
Amazon Elasticsearch Service (Amazon ES) now offers support for cross-cluster search in AWS GovCloud (US) Regions, enabling you to perform searches, aggregations, and visualizations across multiple Amazon ES domains with a single query or from a single Kibana interface. With this feature, you can separate heterogeneous workloads into multiple domains, which provides better resource isolation, and the ability to tune each domain for their specific workloads which can improve availability and reduce costs.
AWS CodeBuild Now Supports Additional Shell Environments
AWS CodeBuild now supports the bash and CMD shell environments for executing commands and scripts. The bash shell is available for machines hosting versions of Amazon Linux or Ubuntu, and the CMD shell is available on machines hosting versions of Microsoft Windows Server.
Amazon Rekognition Custom Labels now supports single object training
Amazon Rekognition Custom Labels is an automated machine learning (ML) feature that enables customers to quickly train their own custom models for detecting business-specific objects and scenes from images – no ML experience is required. For example, customers train a custom model to find their company logos in social media posts, identify their products on store shelves, or classify unique machine parts in an assembly line. Starting today, Amazon Rekognition Custom Labels now allows customers to train object detection projects for a single object (label).