Containers

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.

In this post, we explore how to use AWS Identity and Access Management (IAM) Roles Anywhere, supported by HashiCorp Vault PKI, to facilitate joining EKS Hybrid Nodes to an Amazon EKS Cluster. This solution enables businesses to flexibly make use of compute resources outside of AWS by extending an Amazon Elastic Kubernetes Service (Amazon EKS) data plane beyond the AWS Cloud boundary, addressing use cases focused on data sovereignty, low latency communication, and regulatory compliance.

In this post, we explore the latest Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode features that enhance security, network control, and performance for enterprise Kubernetes deployments. These new capabilities address critical operational challenges including capacity management, network segmentation, enterprise PKI integration, and comprehensive encryption while maintaining the automated cluster management that makes EKS Auto Mode transformative for development teams.

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.