Implementing assurance pipeline for Amazon EKS Platform

Implementing assurance pipeline for Amazon EKS Platform Current pain points in validating EKS clusters Solution overview Prerequisites Walkthrough 1. Unit testing with Terraform test 2. Functional testing with Pytest BDD 3. Helm testing 4. Kubernetes policy testing with Chainsaw 5. Non-functional testing with Locust 6. Resilience assessment with Resilience Hub Pipeline monitoring and visualization Benefits of the Amazon EKS validation framework Conclusion About the authors Organizations using Amazon Elastic Kubernetes Service (Amazon EKS) need to establish that their clusters are built-as-designed, production-ready, and follow Amazon EKS Best Practices. Although Amazon EKS manages the Kubernetes control plane, validating cluster configurations and establishing quality across infrastructure, applications, policies, and resilience remains a key responsibility for platform teams. This post details how platform engineering teams can build an assurance pipeline for Amazon EKS deployments, incorporating validation frameworks that verify configurations, test infrastructure as code (IaC), assess application resilience, and establish compliance with organizational standards. This comprehensive validation approach complement the robust scalability capabilities of Amazon EKS , helping teams build confidence in their deployments and maintain high-quality Kubernetes environments that can handle the demands of large-scale operations. Organizations deploying applications on Amazon EKS face several validation challenges: Infrastructure validation gaps : Traditional testing often focuses on application code, neglecting IaC validation, and leading to misconfigurations and deployment failures. Siloed testing approaches : Teams often use disconnected testing methods across infrastructure, applications, and policies, creating blind spots in validation coverage.