Category: Amazon Elastic Container Service

In this post, we walk through how linear and canary strategies work in Amazon ECS, how to configure each, and how to set up automatic rollbacks with CloudWatch alarms.

In this post, we will walk you through a three-tier MCP application deployed entirely on Amazon ECS, using Service Connect for service-to-service communication and Express Mode for automated load balancing, to show how to take an MCP-based workload from concept to production.

In this post, we will walk you through building an automated deployment pipeline using GitHub Actions. You will create a workflow that triggers on code changes, builds Docker images, pushes them to Amazon ECR, and deploys to Amazon ECS Express Mode using IAM roles for secure authentication. By the end, you will have a continuous integration and continuous delivery (CI/CD) workflow that automatically deploys your application when you push code.

In this post, we’ll walk through a practical migration scenario where a Node.js web application running on EC2 instances is migrated into a highly scalable, containerized service on ECS Express Mode. You’ll learn how to configure and use the AWS and ECS MCP Servers with Kiro CLI to automate critical migration tasks, from Dockerfile creation and image optimization to ECS service configuration and production deployment.

In this post, we demonstrate how to capture specific Amazon ECS events using EventBridge rules for enhanced monitoring and troubleshooting of your containerized applications. We show you how to customize EventBridge filtering patterns to capture the specific Amazon ECS events that matter for your troubleshooting and monitoring needs.

In this blog post, we’ll walk through how to build an automated thread dump analysis pipeline that uses Prometheus for monitoring, Grafana for alerting, AWS Lambda for orchestration, and Amazon Bedrock for AI‑powered analysis. The solution works on both Amazon Elastic Container Services (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS), helping teams go from raw thread dumps to actionable insights within seconds of detecting an issue.

In this post, we show how you can use the new event capture capability in the Amazon ECS console to automatically collect and analyze operational events without manually configuring EventBridge rules or CloudWatch log groups. We demonstrate how to enable Amazon ECS event capture with a single click and use the integrated query interface to investigate operational scenarios such as task failures, deployments, and resource constraints issues .

Amazon ECS today launched a fully managed, remote Model Context Protocol (MCP) server in preview, enabling AI agents to provide deep contextual knowledge of ECS workflows, APIs, and best practices for more accurate guidance throughout your application lifecycle. In this post, we walk through how to streamline your container troubleshooting using the Amazon ECS MCP server, which offers intelligent AI-assisted inspection and diagnostics through natural language queries in CLI tools like Kiro, IDEs like Cline and Cursor, and directly within the Amazon ECS console through Amazon Q.

Amazon Web Services (AWS) re:Invent returns to Las Vegas from December 1-5, 2025, bringing together the global cloud computing community for an unparalleled learning experience. This premier event is where cloud pioneers gather from across the globe for the latest AWS innovations, peer-to-peer learning, expert-led discussions, and invaluable networking opportunities. The Amazon Elastic Container Service […]

Amazon Elastic Container Service (Amazon ECS) Managed Instances is a fully managed compute option that eliminates infrastructure management overhead while providing customers access to a broad suite of Amazon Elastic Compute Cloud (Amazon EC2) capabilities, including the flexibility to select instance types, access reserved capacity, and leverage advanced security and observability configurations. By offloading operations […]