AWS EKS Cluster Architecture

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The prompt behind this diagram

An AWS EKS architecture: EKS control plane, two managed node groups across availability zones, AWS Load Balancer Controller with ALB ingress, ECR registry, IRSA to IAM, EBS CSI volumes, CloudWatch observability.

Paste your own description (or Terraform / docker-compose / SQL schema) into draft1 and get a diagram like this for your exact system.

What this diagram shows

This diagram represents a complete AWS EKS cluster deployment, showing the managed control plane (handling API server, etcd, scheduler, controller manager), worker node groups across multiple availability zones, the ingress controller routing traffic via Application Load Balancer, container image storage in ECR, persistent storage via EBS or EFS, and the IAM role assignments that grant pod-level permissions. Data flows from external clients through the ALB to pods, while the control plane orchestrates scheduling and monitoring across all nodes.

Key components

When to use it

Use this template when designing production or staging Kubernetes deployments on AWS that require multi-zone resilience, secure pod-to-AWS service communication, container image management, and persistent data handling. It applies to microservices architectures, containerised applications needing external traffic ingress, and teams adopting EKS as their container orchestration platform.

Common mistakes

Adapting it to your system

Replace the generic node group with your actual instance types (t3.medium, c5.large, etc.) and desired capacity. Specify your real application images in ECR with proper image URI references. Map your domain names and application services to the ALB listener rules. Define storage requirements: add EBS volumes for databases or caches, or EFS for shared file access. Adjust the IAM roles to match your AWS service dependencies (S3, RDS, SNS, etc.). Document your networking CIDR ranges, security group rules, and namespace-level pod security policies specific to your deployment.

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