1/24/2023, 12:00:00 AM ~ 1/25/2023, 12:00:00 AM (UTC)

Recent Announcements

Amazon MQ now supports RabbitMQ version 3.8.34

Amazon MQ now provides support for RabbitMQ version 3.8.34, which includes several fixes to the previously supported version, RabbitMQ 3.8.30. Amazon MQ is a managed message broker service for Apache ActiveMQ  and RabbitMQ that makes it easier to set up and operate message brokers on AWS. You can reduce your operational burden by using Amazon MQ to manage the provisioning, setup, and maintenance of message brokers. Amazon MQ connects to your current applications with industry-standard APIs and protocols to help you easily migrate to AWS without having to rewrite code.

Amazon Polly launches five new male NTTS voices

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk and build entirely new categories of speech-enabled products. Today, we are excited to announce the general availability of five new male neural Text-to-speech (NTTS) voices: Sergio for Castilian Spanish, Andrés for Mexican Spanish, Rémi for French, Adriano for Italian, and Thiago for Brazilian Portuguese.

Announcing comprehensive controls management with AWS Control Tower

Today we are excited to announce the launch of comprehensive controls management in AWS Control Tower, a set of new features that enhances AWS Control Tower’s governance capabilities. You can now programmatically implement controls at scale across your multi-account AWS environments within minutes, so you can more quickly vet, allow-list, and begin using AWS services. With comprehensive controls management in AWS Control Tower, you can reduce the time it takes to define, map, and manage the controls required to meet your most common control objectives such as enforcing least privilege, restricting network access, and enforcing data encryption.

Announcing runtime management controls for AWS Lambda

Today, AWS announces the general availability of runtime management controls for AWS Lambda. The operational simplicity of automatic runtime updates is one of the features customers most like about Lambda. This release provides customers running critical production workloads with more visibility and control over when runtime updates are applied to their functions.

Amazon SageMaker Automatic Model Tuning now allows you to specify environment variables for your tuning jobs

SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. Previously, you could only specify environment variables for your algorithm runtime in your SageMaker Training jobs, but not in your tuning jobs. Starting today, you have the flexibility to specify runtime environment variables for your scripts in your CreateTuningJob API.

Amazon RDS Blue/Green Deployments now supports Aurora MySQL 3 (with MySQL 8.0 compatibility) as a source cluster

Amazon Aurora now supports Aurora MySQL 3 (with MySQL 8.0 compatibility) as a source cluster or blue environment within Amazon RDS Blue/Green Deployments. This enables you to use Blue/Green Deployments for minor version upgrades for Aurora MySQL 3 (with MySQL 8.0 compatibility).

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