5/12/2025, 12:00:00 AM ~ 5/13/2025, 12:00:00 AM (UTC)

Recent Announcements

Announcing Code Editor (based on VS Code – Open Source) in Amazon SageMaker Unified Studio

Today, AWS announces two complementary capabilities in the next generation of Amazon SageMaker that enhance the development experience for analytics, machine learning (ML), and GenAI teams: Code Editor and Multiple Spaces support.\n The Code Editor, based on Code-OSS (Visual Studio Code – Open Source), provides a lightweight and powerful IDE with familiar shortcuts and terminal access, along with advanced debugging capabilities and refactoring tools. Teams can boost their productivity by accessing thousands of Visual Studio Code–compatible extensions from the Open VSX extension gallery. The Code Editor enables version control and cross-team collaboration through GitHub, GitLab or BitBucket repositories, while offering preconfigured Amazon SageMaker distribution for popular ML frameworks. To maximize the benefits of Code Editor alongside other coding interfaces in Unified Studio, including JupyterLab , SageMaker now supports multiple spaces per user per project, allowing users to manage parallel work-streams with different computational needs. Each space maintains a 1-to-1 relationship with an application instance, enabling users to efficiently organize their storage and resource requirements. This enhancement provides the flexibility to access multiple applications and instances simultaneously, improving workflow management and productivity. Code Editor and Multiple Spaces support are available in all Amazon SageMaker Unified Studio domains. For more information about AWS Regions where these features are available, see the AWS Regions table. To learn more, visit the Developer Guide.

Amazon SageMaker Unified Studio now allows you to bring your own image (BYOI)

Today, AWS announced the ability to bring your own image (BYOI) to Amazon SageMaker Unified Studio, part of the next generation of Amazon SageMaker. This feature benefits customers who have regulatory and compliance requirements or who prefer not to use the framework containers that come with the default SageMaker Distribution image.\n BYOI provides you the flexibility to customize the image by removing unnecessary frameworks and adding new dependencies or security containers as per your requirement. It also provides the code reproducibility guarantees on the containers that you use across development and production environements. The SageMaker Distribution image is available on GitHub, you can download the image inspect its contents and use it to build your custom image. The base image contains all the necessary packages and extensions which are required to execute the code on SageMaker Unified Studio, therefore we recommend you to build your own image using the SageMaker Distribution version 2.6 and onwards. The ability to bring your own images is available in all AWS Commercial Regions where the next generation of Amazon SageMaker is available. See the supported regions list for more details. For instructions on how to get started, visit the Amazon SageMaker documentation.

AWS EC2 instances now support ENA queue allocation for your network interfaces

AWS announces a new EC2 feature for Elastic Network Adapter (ENA) that enables flexible queue allocation per Elastic Network Interface (ENI) on EC2 instances. ENA queues, which are key components of ENIs, efficiently manage network traffic by load-balancing sent and received data across available queues. This network interface feature optimizes networking performance by flexibly allocating multiple transmit and receive ENA queues, efficiently distributing packet processing across vCPUs. Customers now have granular control over their network resources and instance performance, allowing them to align ENA queue allocation with specific workload requirements.\n Prior to this announcement, customers could configure additional ENIs for their instances, but ENA queues were statically allocated per ENI without flexibility in distribution. Now, customers can dynamically allocate ENA queues across ENIs from their instance’s total queue pool, with the total available queues varying by instance type and size. This flexible ENA queue allocation enables maximum vCPU utilization through optimized resource distribution. Network-intensive applications can be allocated more queues, while CPU-intensive applications can operate with fewer queues. EC2 Flexible Queues is available in all AWS Commercial Regions. To learn more and for supported instance types, review the latest EC2 Documentation.

AWS announces new AWS Direct Connect location in Istanbul, Turkey

Today, AWS announced the opening of a new AWS Direct Connect location within the Equinix IL4 data center near Istanbul, Turkey. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the first AWS Direct Connect location within Turkey. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.\n The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 149 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

Amazon SageMaker launches AWS CloudFormation support for domain features

Today, Amazon SageMaker and Amazon DataZone added support for multiple domain features through AWS CloudFormation. Customers can now use AWS CloudFormation to model and manage domain units and their owners. Additionally, customers can set the AWS IAM Identity Center instance for a domain. Programmatically deploying these resources through AWS CloudFormation facilitates secure, efficient, and consistent provisioning of Amazon SageMaker and Amazon DataZone domains.\n As an Amazon SageMaker or Amazon DataZone administrator, you can now create AWS CloudFormation scripts to assign the domain’s IAM Identity Center instance appropriate for your single sign-on user population. Administrators can then create and manage their domain units and enable users to organize, create, search, and find data assets and projects associated with business units or teams. AWS CloudFormation support for these features is available in all AWS Regions where Amazon SageMaker and Amazon DataZone are available. To learn more, visit Amazon SageMaker and get started with AWS CloudFormation documentation.

Amazon RDS for MySQL now supports new minor versions 8.0.42 and 8.4.5

Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor versions 8.0.42 and 8.4.5, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.42 and 8.4.5 in the Amazon RDS user guide.\n You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also leverage Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MySQL instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Create or update a fully managed Amazon RDS for MySQL database in the Amazon RDS Management Console.

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