6/5/2026, 12:00:00 AM ~ 6/8/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon ECS with AWS Fargate now supports 32vCPU compute configurations
Amazon Elastic Container Service (Amazon ECS) with AWS Fargate now supports 32vCPU compute configurations, enabling customers to run more demanding applications with greater flexibility and performance. AWS Fargate offers 32vCPU tasks with the following memory configurations: 60 GiB, 120 GiB, or 244 GiB, for both x86-based and ARM-based workloads on Linux. These new task sizes extend Amazon ECS’s capability to support high-performance computing use-cases, large-scale data processing, AI inference, and other compute-intensive workloads. With 32vCPUs and up to 244 GiB of memory, Amazon ECS customers can now deploy larger containers and scale applications beyond previous limits, all while leveraging the reliability, security, and scalability of AWS Fargate.\n To use the new 32vCPU task sizes, simply configure your task definitions to specify 32 as the vCPU value and select one of the new memory options (60, 120, or 244 GiB), then deploy your Amazon ECS services or tasks as usual via the AWS Management Console, CLI, or your infrastructure-as-code of choice. The new vCPU and memory configurations are available on both Fargate and Fargate Spot capacity providers, and existing Compute Savings Plans apply automatically. For pricing details, refer to AWS Fargate pricing page. The 32vCPU tasks are available with Amazon ECS and AWS Fargate in all AWS commercial and AWS GovCloud (US) Regions. To learn more, refer to the Amazon ECS documentation.
The AWS MCP Server now supports cross-account and cross-role access
Today, AWS announced cross-account and cross-role access for the AWS Model Context Protocol (MCP) Server, part of the Agent Toolkit for AWS. This feature allows developers using AI coding agents like Kiro, Claude Code, or Codex to work across multiple AWS accounts and AWS Identity and Access Management (IAM) roles within a single session, with no restarts required. Previously, switching profiles required stopping the AI coding session, updating local AWS credentials, and restarting the MCP server for every account change. Now, AI agents using the AWS MCP Server can specify a profile on each command, allowing users to switch between accounts and roles seamlessly.\n
Cross-account access helps developers move faster across multi-account environments. For example, a DevOps engineer can query CloudWatch logs across production and staging accounts to diagnose a performance issue, or an application developer can update a Lambda configuration in one account and adjust an S3 bucket policy in another, all within the same conversation. Each request specifies which profile to use, so there is no risk of commands reaching the wrong account.
To get started, see Multi-profile support in the Agent Toolkit for AWS user guide. The AWS MCP Server is available in the US East (N. Virginia) and Europe (Frankfurt) Regions.
AWS Blogs
AWS Japan Blog (Japanese)
- Strengthening security systems in the AI era
- Use Amazon Cognito multi-region replication to improve application resiliency
- Start using OpenAI’s GPT-5.5, GPT-5.4, and Codex on Amazon Bedrock
- Protect secrets from future quantum risks with post-quantum cryptography
- AWS Observability Release Summary for January-May 2026
AWS News Blog
AWS Messaging Blog
- Adding LINE Messenger to your AWS omnichannel fallback solution
- Send WhatsApp Business messages with AWS End User Messaging Social