Mastering Containers on AWS : Master Amazon ECS, Amazon EKS, Kubernetes, Karpenter, Service Meshes, Observability, and AI Workloads on AWS (English Edition) - Adit Modi

Mastering Containers on AWS

Master Amazon ECS, Amazon EKS, Kubernetes, Karpenter, Service Meshes, Observability, and AI Workloads on AWS (English Edition)

By: Adit Modi

eBook | 31 August 2026

At a Glance

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Build Containers. Engineer Platforms. Operate at Scale.

Key Features

? Get a free one-month digital subscription to www.avaskillshelf.com.

? Production-grade ECS and EKS coverage from cluster provisioning and networking to autoscaling, security, and observability.

? Hands-on Kubernetes engineering with Karpenter, KEDA, service meshes, IAM, and multi-environment CI/CD pipeline design.

? AI and ML workload deployment on EKS covering GPU scheduling, AWS Trainium, Inferentia, and inference pipeline architecture.

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.

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.

Table of Contents

  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

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