Amazon EKS Blueprints for CDK: Now supporting Amazon EKS Auto Mode

Amazon EKS Blueprints for CDK: Now supporting Amazon EKS Auto Mode What is EKS Blueprints for CDK? What is EKS Auto Mode? Prerequisites Implementing EKS Auto Mode with EKS Blueprints for CDK Pattern 1: Basic EKS Auto Mode cluster Pattern 2: EKS Auto Mode cluster with custom ARM NodePool for workloads Pattern 3: EKS Auto Mode cluster with custom AI Accelerator NodePool for AI/ML workloads Cleaning up Benefits of using EKS Auto Mode with EKS Blueprints Conclusion About the authors Amazon EKS Blueprints for CDK has recently added support for EKS Auto Mode , a significant enhancement that streamlines Kubernetes management by automatically provisioning infrastructure, choosing optimal compute instances, dynamically scaling resources, continuously optimizing costs, managing core add-ons, patching operating systems, and integrating with Amazon Web Services (AWS) security services. EKS Blueprints for CDK is an open source framework that helps AWS customers bootstrap and configure production-ready Amazon Elastic Kubernetes Service (Amazon EKS) clusters with the AWS Cloud Development Kit (AWS CDK). Customers can describe the desired state of their Amazon EKS environment with worker nodes, auto scaling, networking, and Kubernetes add-ons as an infrastructure as code (IaC) blueprint. These blueprints can be used in pipelines to set up consistent environments across AWS accounts and AWS Regions. EKS Blueprints is part of the broader initiative by AWS launched in 2022: Bootstrapping clusters with EKS Blueprints | Amazon Web Services. EKS Blueprints can bootstrap your clusters with Amazon EKS add-ons, and many popular open source add-ons, such as ArgoCD, Nginx, Keda, Fluent Bit, FluxCD, and more. The framework automatically chooses compatible versions for core Amazon EKS add-ons based on your Kubernetes version, eliminating the guesswork of which add-on versions work together. When you upgrade your cluster, the add-on versions automatically update to maintain compatibility, preventing version mismatch errors. EKS Blueprints comes with built-in compatibility handling for your add-ons, so that each add-on you deploy is compatible with your cluster’s configuration. Feedback and support for this framework is available through GitHub issues. EKS Blueprints provides specialized cluster builders that come pre-configured with the right add-ons and best practices for specific workloads. Whether you’re building observability stacks with Prometheus and Grafana, GPU clusters for machine learning (ML), Windows environments for.