2/20/2025, 12:00:00 AM ~ 2/21/2025, 12:00:00 AM (UTC)

Recent Announcements

AWS CodePipeline adds native Amazon EKS deployment support

AWS CodePipeline introduces a new action to deploy to Amazon Elastic Kubernetes Service (Amazon EKS). This action enables you to easily deploy your container applications to your EKS clusters, including those in private VPCs.\n Previously, if you wanted to deploy to a EKS cluster within a private network, you had to initialize and maintain a compute environment within the private network. Now, you can simply provide the name of the EKS cluster and add this action to your pipeline. The pipeline will automatically establish a connection into your private network to deploy your container application, without additional infrastructure needed. This streamlined approach reduces your operational overhead and simplifies your deployment process. To learn more about using the EKS action in your pipeline, visit our tutorial and documentation. For more information about AWS CodePipeline, visit our product page. This new action is available in all regions where AWS CodePipeline is supported, except the AWS GovCloud (US) Regions and the China Regions.

Amazon Bedrock now available in Asia Pacific (Hyderabad) and Asia Pacific (Osaka) regions

Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Hyderabad) and Asia Pacific (Osaka) regions to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

Amazon Elastic Beanstalk now supports Windows Server 2025 and Windows Server Core 2025 environments

AWS Elastic Beanstalk now enables customers to deploy applications on Windows Server 2025 and Windows Server Core 2025 environments. These environments come pre-configured with .NET Framework 4.8.1 and .NET 8.0, providing developers with the latest Long Term Support (LTS) version of .NET alongside the established .NET Framework\n Windows Server 2025 and Windows Server Core 2025 delivers enhanced security features and performance improvements. Developers can create Elastic Beanstalk environments on Windows Server 2025 using the Elastic Beanstalk Console, CLI, API, or AWS Toolkit for Visual Studio.

This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.

For more information about .NET on Windows Server platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.

Amazon EC2 G6e instances now available in Stockholm region

Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Europe (Stockholm) region. G6e instances can be used for a wide range of machine learning and spatial computing use cases.\n Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS), AWS Batch, and Amazon SageMaker. Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt, Spain, Stockholm) regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.

AWS announces Backup Payment Methods for invoices

Today, AWS announces the introduction of Backup Payment Methods for AWS invoices in all commercial AWS Regions. This feature enables customers to set up alternate payment methods that will be automatically charged for their invoices if the primary payment method fails. This will help customers make timely invoice payments without the need for manual intervention or last-minute payment updates.\n There are several benefits this feature brings to AWS customers. Firstly, it reduces the risk of missed or late payments due to issues with the primary payment method. Backup payment method provides peace of mind, knowing that there’s a fallback payment method in place for invoice payments, reducing the risk of failed invoice payments. This can help maintain uninterrupted access to AWS services and avoid potential service disruptions. Secondly, it saves time and effort for customers by eliminating the need to manually update payment details or coordinate with their finance and accounting teams to settle invoices when the primary method fails. To get started with Backup Payment Methods, customers can access their AWS Console and navigate to the billing section. From there, they can set their preferences for backup payment methods at any time. For more information on how to set up and manage Backup Payment Methods, please visit the AWS Billing and Cost Management documentation page or contact your AWS account representative.

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