Category: Advanced (300)

In this post, we walk you through three main steps: First, you create an AWS CodeConnections host in your VPC with connectivity to your private Git server. Second, you establish a connection that Argo CD can use. Finally, you deploy a sample application to verify the integration. By the end, you have a secure way to deploy applications from private repositories.

In this post, you 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 EKS Auto Mode. You will learn how to configure and use the AWS and Amazon EKS MCP Servers with Kiro CLI to automate critical migration tasks from Dockerfile creation and image optimization to Kubernetes manifest generation and production deployment on EKS Auto Mode.

In this post, we demonstrate how to use Envoy’s External Processing filter (ext_proc) to solve this challenge on Amazon EKS. This solution captures complete request and response data without modifying application code, providing the compliance-grade audit trails that regulators require.

This post demonstrates how AWS DevOps Agent diagnoses Amazon Elastic Kubernetes Service (Amazon EKS) API server performance degradation, specifically 429 throttling and API Priority and Fairness (APF) seat exhaustion.

In this post, we walk through the performance and scalability improvements we shipped across the four pillars of EKS Auto Mode: runtime, compute, storage, and networking.

This post demonstrates an automated solution that combines AI-powered risk analysis with GitOps principles to streamline Amazon EKS AMI updates while maintaining appropriate human oversight through familiar GitHub workflows.

In this post, we explore how to maximize Auto Mode’s value through comprehensive cost visibility, proactive governance, and continuous optimization strategies. We cover essential cost management dimensions: establishing spending visibility, forecasting resource needs, implementing governance controls, and measuring efficiency improvements. For both new and experienced Amazon EKS Auto Mode users, this guide offers actionable insights to balance performance, reliability, and cost-efficiency in Kubernetes deployments.

In this post, you’ll learn to back up and restore Amazon EKS cluster resources and persistent volume data using Velero. You’ll deploy a sample stateful application, back it up, and restore it to a different namespace within the same cluster. Along the way, you’ll configure least-privilege AWS Identity and Access Management (AWS IAM) roles using Amazon EKS Pod Identity and scope Velero’s Kubernetes permissions with a custom ClusterRole. A ClusterRole is a Kubernetes resource that defines cluster-wide permissions.

In this post, we walk you through a complete cross-Region DR implementation for Amazon EKS using AWS Backup. We deploy a stateful retail store application in a source Region, back it up, copy the backup to a DR Region, and restore the full application, including its persistent data, to a pre-provisioned cluster in the secondary Region. By the end of this walkthrough, you will have a fully functional DR environment with your application running in the secondary Region with all stateful data intact.

In this post, you’ll learn how to: (1) enable Container Network Observability in your Amazon EKS cluster, (2) identify and reduce inter-AZ traffic using traffic distribution control, (3) identify and reduce NAT gateway costs by implementing Amazon Virtual Private Cloud (VPC) endpoints, and (4) automate monitoring and reporting with an AI agent. This technical guide assumes familiarity with Kubernetes concepts and AWS networking basics.