9/30/2022, 12:00:00 AM ~ 10/3/2022, 12:00:00 AM (UTC)

Recent Announcements

Amazon RDS for MySQL supports new minor version 5.7.39

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 5.7.39. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and, to benefit from the numerous fixes, performance improvements, and new functionality added by the MySQL community.

Amazon File Cache is now generally available

Amazon File Cache is a fully managed, scalable, and high-speed cache on AWS for processing file data stored in disparate locations—including on premises. Amazon File Cache accelerates and simplifies cloud bursting and hybrid workflows including media and entertainment, financial services, health and life sciences, microprocessor design, manufacturing, weather forecasting, and energy.

AWS Cloud Map Updates Service Level Agreement

AWS has updated the Monthly Uptime Percentage in the service level agreement (SLA) for AWS Cloud Map to 99.99%.

Amazon RDS for MariaDB supports new minor version 10.6.10

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor version 10.6.10. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

AWS announces updated Support Plans Console with new IAM controls

AWS Support continues to provide a mix of tools, technology, people, and programs to help you optimize performance, lower costs, and innovate faster. Today, the new AWS Support Plans Console experience makes it easier to view your current Support plan, the included features within that plan, and compare your plan with other AWS Support Plans.

Amazon Data Lifecycle Manager now automates archival of EBS Snapshots

In November 2021, Amazon Elastic Block Store (EBS) introduced EBS Snapshots Archive, a new tier for EBS Snapshots that can help you save up to 75% on storage costs for EBS Snapshots that you intend to retain for more than 90 days and rarely access. Today, we are announcing that you can use Amazon Data Lifecycle Manager to automatically move snapshots created by Data Lifecycle Manager to EBS Snapshots Archive, further reducing the need to manage complex custom scripts and the risk of having unattended storage costs.

Reduce ML Model Training Job startup time by up to 8x using SageMaker Training Managed Warm Pools

We are excited to announce that Amazon SageMaker Model Training now supports SageMaker Training Managed Warm Pools. Users can now opt in to keep their machine learning (ML) model training hardware instances warm for a specified duration of time after the job completes. Using this feature, customers can do iterative experimentation or run consecutive jobs at scale for model training on the same warm instances, with up to 8x reduction reduction in job startup latency.

AWS Systems Manager adds CloudWatch Alarms to control tasks

Today, AWS Systems Manager announces adding CloudWatch Alarms to control tasks. Now customers can choose to stop a task or an action in Systems Manager services when a CloudWatch alarm is activated. This allows customers to use the broad range of monitoring metrics supported by CloudWatch, ranging from resource utilization to application performance, to control tasks. If the specified CloudWatch alarm is activated during a task, Automation will stop the task, RunCommand will cancel the commands, State Manager and Maintenance Windows will skip dispatch. It’s easy to get started, customers can add a CloudWatch alarm, while setting up a task in Systems Manager’s Automation, Run Command, State Manager, and Maintenance Windows services. Once setup, users can view the attached alarm in the task’s details page.

AWS Service Catalog console makes improvements on usability

AWS Service Catalog makes improvements on usability for customers who are provisioning AWS resources via the AWS Service Catalog console. These changes will help enable better error handling and reduce friction in the provisioning workflow.

Amazon SageMaker Autopilot now includes Amazon SageMaker Data Wrangler feature transforms when deploying models for inference

Amazon SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Data Wrangler enables a unified data preparation and model training experience with Amazon SageMaker Autopilot in just a few clicks. This integration is now enhanced to include and reuse Data Wrangler feature transforms such as missing value imputers, ordinal/one-hot encoders etc., along with the Autopilot models for ML inference. When you prepare data in Data Wrangler and train a model by invoking Autopilot, you can now deploy the trained model along with all the Data Wrangler feature transforms as a SageMaker Serial Inference Pipeline. This will enable automatic preprocessing of the raw data with the reuse of Data Wrangler feature transforms at the time of inference. This feature is currently only supported for Data Wrangler flows that do not use join, group by, concatenate and time series transformations.

Amazon ECS Service Discovery now available in the Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions

Today, Amazon Elastic Container Service (ECS) launched integrated service discovery in the Asia Pacific (Osaka) and Asia Pacific (Jakarta) AWS Regions.

Amazon Connect launches Amazon CloudWatch support for third-party integrations for Wisdom, Tasks, and Customer profiles

Amazon Connect now publishes metrics for third-party integrations for Wisdom, Tasks, and Customer profiles to Amazon CloudWatch, making it easier to help monitor operational metrics. These integrations enable Amazon Connect customers to ingest data (e.g., purchase history, knowledge content) and/or automate task creation from third-party SaaS applications such as Zendesk, Salesforce, or ServiceNow. You can now collect, view, and analyze operational and utilization metrics, such as number and size of documents ingested by Wisdom from a third-party application like Zendesk. This feature is available out-of-the box and no coding is required to access data through CloudWatch.

AWS Blogs

AWS Japan Blog (Japanese)

AWS News Blog

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Containers

AWS Database Blog

AWS Machine Learning Blog

AWS Media Blog

Networking & Content Delivery

AWS Storage Blog

Open Source Project

AWS CLI

Amplify for JavaScript

Karpenter

Amazon EKS Anywhere