Mastering Containers on AWS

Build Containers. Engineer Platforms. Operate at Scale.

Book Description
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.

What you will learn
● Deploy and manage production-grade ECS and EKS workloads on AWS with confidence.
● Design secure container networking using VPCs, service meshes, and IAM across environments.
● Autoscale Kubernetes clusters efficiently using Karpenter and KEDA for production workloads.

1. Foundations of Containers and Cloud-Native on AWS
2. Docker and Container Fundamentals
3. AWS Networking and Security Basics for Containers
4. Running Containers with Amazon ECS
5. Running Containers with Amazon EKS
6. Serverless Containers with AWS Fargate and App Runner
7. CI/CD and GitOps for Containerized Workloads
8. Observability, Monitoring, and Troubleshooting
9. Security, Compliance, and Governance for Container Platforms
10. Architecting Production-Grade Container Platforms on AWS
11. Architecting AI/ML Workloads on Amazon EKS
12. Migration Strategies and Application Modernization on Amazon EKS
13. Containers at the Edge with AWS
14. Cost Optimization and Future Directions
Index

Adit Modi is an AWS Ambassador, AWS Community Builder (Containers), and co-organizer of AWS User Group, Vadodara. A 12× AWS Certified Solutions Architect with 100+ blogs and 65+ newsletter editions, he speaks globally on EKS and AI infrastructure.

About the Technical Reviewer
Jasdeep Singh Bhalla is a Senior Software Engineer with in-depth experience in designing and building large-scale cloud infrastructure, security, and governance systems across enterprise environments. His work focuses on cloud governance, AI-driven automation, scalable backend systems, and security engineering for modern cloud platforms. Over the course of his career, Jasdeep has worked across industries including internet services, gaming, and enterprise technology, with organizations such as GoDaddy, Electronic Arts, and Yahoo.

At GoDaddy, Jasdeep works on building secure-by-default cloud governance and compliance platforms that operate at enterprise scale across thousands of AWS accounts. His interests lie at the intersection of AI, cloud computing, event-driven architectures, and security, with a strong focus on applying agentic AI systems safely in production environments. He is also an active technical writer, content creator, and speaker on topics related to AI agents, cloud architecture, DevOps, and security engineering.

Jasdeep is passionate about building reliable distributed systems, simplifying complex technical concepts for developers, and helping organizations adopt scalable and secure AI-powered architectures.