Category: Amazon Elastic Container Service

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 […]

In this post, we explore how the integration of Amazon CloudWatch Logs Live Tail and Amazon ECS Exec with AWS CloudShell in the Amazon ECS console streamlines container troubleshooting by eliminating the need to switch between multiple interfaces or maintain separate CLI configurations. These new features centralize essential debugging capabilities, allowing DevOps engineers and developers to maintain reliable container-based applications while preserving necessary security and governance controls.

In this post, we guide you through the process of migrating from AWS App Mesh to Amazon VPC Lattice, highlighting key considerations and benefits that this transition offers for your cloud infrastructure. We demonstrate how to migrate an IT Inventory Management System application from AWS App Mesh to VPC Lattice using Amazon ECS, with detailed steps for creating VPC Lattice resources, updating task definitions, and implementing blue/green deployment strategies.

In this post, Amazon ECS announces support for IPv6-only workloads, allowing users to run containerized applications in IPv6-only environments without IPv4 dependencies while maintaining compatibility with existing applications and AWS services. The new capability helps organizations address IPv4 address exhaustion challenges, streamline network architecture, improve security posture, and meet compliance requirements for IPv6 adoption.

In this post, we explore the migration path from AWS CodeDeploy to Amazon ECS for blue/green deployments, discussing key architectural differences and implementation considerations. We examine three different migration approaches – in-place update, new service with existing load balancer, and new service with new load balancer – along with their respective trade-offs in terms of complexity, risk, downtime, and cost.

In this post, we explore how Amazon ECS’s native support for blue/green deployments can be extended using lifecycle hooks to integrate test suites, manual approvals, and metrics into deployment pipelines.

In this post, we explore advanced implementation patterns for building highly available services on Amazon ECS, including idempotency, resilience to transient failures, static stability across Availability Zones, deployment safety, and chaos engineering techniques. The post provides detailed guidance on how these patterns can be implemented when deploying applications on Amazon ECS to ensure maximum resilience and availability.

In this post, we demonstrate how to test network resilience of AWS Fargate workloads on Amazon ECS using AWS Fault Injection Service’s new network fault injection capabilities, including network latency, blackhole, and packet loss experiments. Through a sample three-tier application architecture, we show how to conduct controlled chaos engineering experiments to validate application behavior during network disruptions and improve system resilience.

When deploying containerized microservices, maintaining reliable service discovery and efficient routing during updates presents significant challenges. Traditional blue/green deployment approaches rely heavily on load balancer for traffic management, which can become complex when dealing with container-based service-to-service communication. This complexity increases the possibility of service disruption and makes it difficult to test new versions in […]