Mastering Elastic Kubernetes Service on AWS: Build, Secure, Scale, and Operate Production Kubernetes and GenAI Workloads 2nd Edition

Build production-ready Amazon EKS clusters with hands-on guidance for networking, security, observability, scaling, GenAI workloads, and cost control.

Key Features

• Build and run Amazon EKS clusters using AWS Console, AWS CLI, CDK, Terraform, and eksctl
• Secure, scale, monitor, and troubleshoot Kubernetes workloads using AWS-native services
• Deploy real-world workloads with ECR, Fargate, Karpenter, Helm, GitOps, Spark, and GenAI
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Build practical Amazon EKS skills by working through the tasks cloud teams handle every day: creating clusters, configuring access, deploying applications, securing workloads, scaling infrastructure, monitoring performance, and solving operational issues. Guided by Malcolm Orr, a Principal Architect with deep expertise in EKS, AWS, cloud computing, containers, and DevOps engineering, this book gives you a structured route through Amazon EKS without the confusion of scattered tutorials.

You’ll start with Docker, containerd, Kubernetes architecture, Amazon EKS fundamentals, and multiple approaches to cluster creation using AWS Console, AWS CLI, CDK, Terraform, and eksctl. From there, you’ll configure kubectl, deploy applications, use Helm, manage RBAC, integrate identity providers, and understand EKS networking, AWS VPC CNI, eBPF network policies, IPv6, Cilium, managed nodes, and EKS Auto Mode.

As you progress, you’ll build and push images to Amazon ECR, configure storage with EBS and EFS CSI drivers, grant application access with IRSA and Pod Identity, set up ALB and NLB traffic routing, and run workloads with Fargate, service meshes, Spark, Ray, Amazon Bedrock, and MLOps patterns.

By the end of this book, you’ll be able to design, deploy, manage, scale, observe, and troubleshoot Amazon EKS environments

What you will learn

• Build Amazon EKS clusters with CLI, CDK, Terraform, and Console
• Deploy Kubernetes applications using kubectl and Helm
• Configure EKS networking, CNI, IPv6, eBPF, and Cilium
• Secure clusters with RBAC, IAM, IRSA, and Pod Identity
• Run workloads with ECR, CSI drivers, Fargate, and load balancers
• Scale clusters and applications with Karpenter, KEDA, and HPA
• Monitor EKS using ADOT, CloudWatch, Prometheus, and Grafana
• Troubleshoot access, node, network policy, and Karpenter issues

Who this book is for

Cloud architects, platform engineers, DevOps engineers, Kubernetes administrators, cloud engineers, and SREs who want to build, deploy, secure, and operate Kubernetes workloads on Amazon EKS. Basic knowledge of AWS, Docker, containers, and Kubernetes concepts is recommended.

Table of Contents

1. The Fundamentals of Kubernetes and Containers
2. Introducing Amazon EKS
3. Building Your First EKS Cluster
4. Running Your First Application on EKS
5. Using Helm to Manage a Kubernetes Application
6. Securing and Accessing Clusters on EKS
7. Networking in EKS
8. Managing Worker Nodes on EKS
9. Using EKS Auto Mode
10. Advanced Networking with EKS
11. Run On-Premises Workloads in Hybrid Mode
12. Upgrading EKS Clusters
13. Using Application Recovery Controller Integration and Node Auto Repair
14. Monitoring EKS Traffic with Network Flow Agent
15. Building Applications and Pushing Them to Amazon ECR
16. Deploying Pods with Amazon Storage
17. Using IAM to Grant Access to Applications
18. Setting Load Balancing for Applications on EKS
19. Working with AWS Fargate
20. Working with a Service Mesh
21. Running Big Data Workloads on EKS

(N.B. Please use the Read Sample option to see further chapters)