Containers

Learn how to manage your Amazon Elastic Kubernetes Service (Amazon EKS) clusters through simple conversations instead of complex kubectl commands or deep Kubernetes expertise. This post shows you how to use the new fully managed EKS Model Context Protocol (MCP) Server in Preview to deploy applications, troubleshoot issues, and upgrade clusters using natural language with no deep Kubernetes expertise required. We’ll walk through real scenarios showing how conversational AI turns multi-step manual tasks into simple natural language requests.

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.

Container image security is critical for modern applications with the increasing adoption of containerized workloads. Organizations need reliable ways to verify the authenticity and integrity of their container images. Amazon Elastic Container Registry (Amazon ECR) now offers managed signing as a streamlined approach to automatically sign container images when they are pushed to the Amazon […]

In this post, we provide a comprehensive guide to the 48 Amazon EKS and Kubernetes sessions at AWS re:Invent 2025, covering everything from simplified cluster management with Amazon EKS Auto Mode to advanced AI/ML workload orchestration, platform engineering, and production-grade security strategies. Whether you’re new to Kubernetes or architecting multi-region platforms, you’ll find sessions tailored to your needs across workshops, chalk talks, builders sessions, and hands-on experiences at the Containers kiosk in the AWS Village.

In this post, we demonstrate how to monitor network performance for Amazon EKS workloads using new advanced network observability features powered by Network Flow Monitor. We explore how to capture Kubernetes-enriched network metrics, export them to AWS Managed Open-Source services like Amazon Managed Service for Prometheus and Amazon Managed Grafana, and visualize critical performance indicators including throughput, packet drops, latency, and connection states across your containerized services.

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 AWS and NVIDIA Run:ai are extending GPU fractionalization and orchestration capabilities beyond traditional cloud regions to edge environments, including AWS Local Zones, Outposts, and EKS Hybrid Nodes. The collaboration addresses the growing demand for distributed AI/ML workloads that require efficient GPU resource management across geographically separated locations while maintaining consistent performance, compliance, and cost optimization .

In this post, we explore advanced traffic routing patterns with the Kubernetes Gateway API through a practical Calendar web application example, demonstrating how it streamlines and standardizes application connectivity and service mesh integration in Kubernetes. The post covers three key use cases: exposing applications to external clients through hostname-based routing, implementing canary deployments between microservices using gRPC traffic splitting, and controlling egress traffic to external services with security policies.

In this post, we explore how KubeArmor, an open source container-aware security enforcement system, enhances the security posture of containerized workloads running on EKS Auto Mode clusters. Although EKS Auto Mode significantly streamlines cluster management by automating control plane and node operations, securing the workloads running within the cluster remains a critical user responsibility.