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Amazon Data Lifecycle Manager adds support for pre-script and post-script automation of EBS Snapshots

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Customers can now use Amazon Data Lifecycle Manager to automate pre-scripts and post-scripts on their Amazon EC2 instances to protect their workloads with application-consistent Amazon Elastic Block Store (EBS) Snapshots. This capability works in conjunction with AWS Systems Manager Agent and AWS Systems Manager Documents (SSM documents) and comes with AWS-provided templates to make it easy for customers to automate the creation of application-consistent EBS Snapshots, including for self-managed databases.

AWS announces general availability of Amazon Aurora MySQL zero-ETL integration with Amazon Redshift

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Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available, enabling near real-time analytics and machine learning (ML) using Amazon Redshift to analyze petabytes of transactional data from Amazon Aurora MySQL-Compatible Edition. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift. You don’t need to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations. Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now available for Amazon Aurora Serverless v2 and Provisioned and Amazon Redshift Serverless and RA3 instance types.

Database Activity Streams creates Kinesis data streams in on-demand mode

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Amazon Relational Database Service (Amazon RDS) Database Activity Streams captures events from the database, encrypts them, and uploads the records to an Amazon Kinesis data stream within your account. The default behavior is that Database Activity Streams creates a Kinesis data stream in provisioned mode upon start. Starting today, once you enable Database Activity Streams, we will create a Kinesis data stream in on-demand mode instead of provisioned mode. This change will only apply to any new Database Activity Streams enablements. This will not affect existing Kinesis data streams. If you wish to move from on-demand mode to provisioned mode, you can do so through the Kinesis Console or APIs.

AWS Fault Injection Simulator announces scenarios and scheduled experiments

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Today, AWS announces the general availability of scenarios and scheduled experiments for AWS Fault Injection Simulator (FIS).  Scenarios define events or conditions that customers can apply to test the resilience of their applications, such as the interruption of compute resources on which the application is running. Scenarios are created and owned by AWS, and minimize undifferentiated heavy lifting by providing you with pre-defined targets and fault actions (e.g., gradually increase CPU load from 90% to 100% for Amazon EC2 instances) for possible application impairments.

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