Category: Amazon Elastic Container Service

Amazon ECS Express Mode gives you load balancing, scaling, logging, and networking out of the box. Learn how to extend an Express Mode service beyond its defaults with three hands-on examples: turning on ECS Exec, adding a scheduled scaling policy, and adding a FireLens log router as a sidecar container.

Deploy a single CloudFormation stack that builds a GPU batch inference pipeline on Amazon ECS Managed Instances. It uses Amazon SQS for job buffering and Application Auto Scaling to scale to zero when idle, so you pay only for active inference time.

In this post, we explain how zone-aware routing works and walk you through setting up a multi-AZ ECS cluster to see it in action.

Starting on June 10th, 2026, Bitnami container images will no longer be available on Amazon ECR Public Gallery. If you currently pull Bitnami images directly from ECR Public in your workloads, you need to take action before this date to avoid service disruption. In this post, we walk you through how to determine if you’re affected, how to mirror the images you need to your own private registry, and best practices for protecting your workloads from future upstream changes.

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.