9/20/2024, 12:00:00 AM ~ 9/23/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS Mainframe Modernization File Transfer adds binary transfer and better performance

We are excited to announce the public availability of two new capabilities for the AWS Mainframe Modernization File Transfer with BMC feature. Users can now copy data sets in binary format without any conversion. This provides compatibility with modernization tools that require data sets to be processed in their raw mainframe format. It can be used as part of refactoring, replatforming, or augmentation toolchains. We have also introduced performance enhancements that reduce the file transfer task start-up time, enabling users to see data transfers begin in a matter of seconds and allowing for the swift execution of multiple transfer tasks. These new capabilities provide customers with greater flexibility and efficiency when transferring mainframe data to the cloud using the AWS Mainframe Modernization service.\n AWS Mainframe Modernization File Transfer enables customers to seamlessly discover, copy, and convert mainframe data sets to Amazon S3 for a variety of use cases including mainframe application migration and modernization, and mainframe data driven augmentation using AWS. Using advanced compression, conversion of source mainframe encodings, and automation, mainframe data sets can be transferred to Amazon S3 storage. Once the mainframe data is on AWS, it can be harnessed for application modernization, analytics, Machine Learning, and Artificial Intelligence enabling agility, cost savings, and drive innovation. The AWS Mainframe Modernization File Transfer is available through the AWS Mainframe Modernization service console. For more information, visit the AWS Mainframe Modernization service product and documentation webpages.

Amazon FSx for Lustre is now available in the AWS US East (Dallas) Local Zone

Customers can now create Amazon FSx for Lustre file systems in the AWS US East (Dallas) Local Zone.\n Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for Lustre provides fully managed shared storage built on the world’s most popular high-performance file system, designed for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA). To learn more about Amazon FSx for Lustre, visit our product page, and see the AWS Region Table for complete regional availability information.

AWS CloudFormation Git sync now supports pull request workflows to review your stack changes

AWS CloudFormation Git sync now allows you to review your stack changes via Pull Request (PR) comments before they are deployed to CloudFormation. With this launch, you get a clear overview of the changes in your deployments within the PR. CloudFormation Git sync will automatically post the change set information as comments to each new PR created or updated in your repository. You are able to review the proposed changes and then deploy the changes by merging the PR.\n CloudFormation allows you to use a template file to manage the configuration of your resources as a stack. Using Git sync, you can store this template in a remote Git repository and have your CloudFormation stacks automatically updated. CloudFormation monitors your Git repository and triggers a change set deployment whenever it detects a change in any template file that defines a stack, and/or a stack deployment file that contains parameters that configure the stack. With this launch, you can catch and prevent undesired changes from being deployed through a PR review of the change. You can enable this feature from either the console or CLI. This feature is available in the following regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Paris), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Stockholm), and South America (São Paulo). Visit our user guide and launch blog to learn more.

Announcing availability of AWS Outposts in Jordan

AWS Outposts can now be shipped and installed at your data center and on-premises locations in Jordan.\n AWS Outposts is a family of fully managed solutions that extends AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises or edge location for a truly consistent hybrid experience. Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, and migration of applications with local system interdependencies. Outposts can also help meet data residency requirements. Outposts is available in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments. With the availability of Outposts in Jordan, you can use AWS services to run your workloads and data in country in your on-premises facilities and connect to your nearest AWS Region for management and operations. To learn more about Outposts, read the product overview and user guide. For the most updated list of countries and territories where Outposts is supported, check out the Outposts rack FAQs page and the Outposts servers FAQs page.

AWS Deadline Cloud launches additional sort fields for steps, tasks, and workers

AWS Deadline Cloud now supports the ability to sort on additional columns within step, task, and worker data, and filter tasks by status. This feature enables users to quickly find and organize data about their job submissions to their Deadline Cloud render farm.\n Customers operating a render farm will often have hundreds of jobs running simultaneously. When users need to identify issues and take action, it is critical to view information related to the steps and tasks within a job quickly and easily. Having the ability to filter and sort step, task, and worker information helps to navigate data efficiently. These sort and filter capabilities are supported in all AWS Regions where Deadline Cloud is available. To learn more about AWS Deadline Cloud, visit the AWS Deadline Cloud product page.

AWS Blogs

AWS Japan Blog (Japanese)

AWS Database Blog

AWS Machine Learning Blog

Networking & Content Delivery

AWS Security Blog

AWS Storage Blog

Open Source Project

AWS CLI

Amplify for iOS

Amplify UI

Amazon EKS Anywhere