11/7/2023, 12:00:00 AM ~ 11/8/2023, 12:00:00 AM (UTC)

Recent Announcements

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

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

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.

AWS Config launches inventory and compliance dashboards

AWS Config announces new inventory and compliance dashboards for AWS Config aggregators, which offer essential insights like the ‘Summary of Compliance by Resources’, ‘Top 10 accounts with noncompliant resources’, ‘Comparison of running vs. stopped EC2 instances by type’, and ‘EBS Volumes by volume type and size’.

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

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 Cost Management now provides purchase recommendations for Amazon MemoryDB Reserved Nodes

Starting today, you can access recommendations in AWS Cost Explorer to help you purchase Amazon MemoryDB reserved nodes. MemoryDB reserved nodes allow you to save up to 55% over On-Demand node prices in exchange for a usage commitment over a one or three-year term. Now with these new recommendations, you can purchase MemoryDB reserved nodes in minutes, making it even easier to optimize your MemoryDB spend.

Build ML models w/ advanced configurations, gain Model Leaderboard visibility on SageMaker Canvas

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. Starting today, Canvas supports advanced model build configurations such as selecting training method (Ensemble/Hyper parameter optimization) and algorithms, customizing training/validation data split ratio, and setting limits on autoML iterations and job run time, thus allowing users to customize model building configurations without having to write a single line of code. This flexibility can provide more robust and insightful model development. Non-technical stakeholders can use the no-code features with default settings, while citizen data scientists can experiment with various ML algorithms and techniques, helping them understand which methods work best for their data and optimize to ensure the model’s quality and performance.

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

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.

AWS adds ability for shared Windows AMIs users to enable faster launching

Today, AWS announces the ability for customers to enable Windows Amazon Machine Images (AMIs) to launch faster when the images are shared with them from another account. Prior to this, faster launching for Windows AMIs could only be enabled by the AMI owner, but now the recipient of the shared AMI can enable it as well and customize the parameters based on their need with a few simple actions.

Amazon ElastiCache now supports network-optimized C7gn Graviton3-based nodes

Amazon ElastiCache now supports network-optimized Graviton3-based C7gn nodes. ElastiCache C7gn nodes feature the new 5th generation AWS Nitro Cards and enable you to achieve the highest network bandwidth across ElastiCache node families for network-intensive workloads.

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