Mastering Containers on AWS

Running Containers Is Easy. Operating Platforms at Scale Is Engineering. Running containers in production on AWS demands more than knowing the commands — it requires the architectural depth to design systems that scale securely under real load. Mastering Containers on AWS is a practitioner's guide to Amazon ECS and Amazon EKS written by an AWS Ambassador and Containers Community Builder, covering production-grade patterns used by real engineering teams from first principles to enterprise-scale deployment. You begin with container and networking fundamentals, then advance through cluster provisioning, IAM and secrets management, autoscaling with Karpenter, service meshes, CI/CD pipelines, cost optimization, and observability. Every chapter is grounded in real engineering scenarios — how systems fail, how to debug them, and how to build architectures that actually hold up under production conditions. The final section covers AI and ML workloads on EKS, including GPU scheduling, AWS Trainium, Inferentia, and inference pipeline design. So, by the end of the book, you will have a complete mental model of containerisation on AWS, and the hands-on patterns to back it up.