What this book covers
Chapter 1, Understanding Kubernetes from Containers to Orchestration, introduces containers and shows why Kubernetes became the standard for running applications at scale.
Chapter 2, Kubernetes Key Components and Their Functions, covers the control plane (API server, scheduler, controller manager, and etcd) and how these parts work together.
Chapter 3, Exploring Kubernetes Basics, explains Pods, Namespaces, and workload primitives (Deployments, Jobs, CronJobs, DaemonSets, and static Pods), including labels/selectors and lifecycle.
Chapter 4, Principles of Scaling: Horizontal vs. Vertical, compares HPA and VPA, when to use each, and how to avoid common scaling pitfalls.
Chapter 5, Autoscaling in Action, goes deeper with Cluster Autoscaler and Karpenter for node-level scaling, with real guidance on cost and performance.
Chapter 6, Essentials of Kubernetes Networking, breaks down CNI, kube-proxy, DNS, and Pod/Service communication so you can reason about traffic paths.
Chapter 7, Kubernetes Network Architecture: Services and Ingresses, explores Service types, ingress controllers, and introduces the Gateway API. It also covers the basics of service mesh.
Chapter 8, Storage: Persistence and CSI Drivers, covers PVs, PVCs, StatefulSets, snapshots, and CSI drivers to design reliable stateful workloads.
Chapter 9, Security Best Practices in Kubernetes and RBAC, focuses on RBAC, secrets management, network policies, and building secure container images.
Chapter 10, Real-World Deployment Scenarios and Continuous Deployment, walks through rolling, blue/green, and canary strategies; it also introduces Helm and Kustomize for day-to-day delivery.
Chapter 11, Understanding GitOps: Principles and Practices, explains GitOps fundamentals with Argo CD and shows how to run pull-based, auditable deployments.
Chapter 12, Custom Resource Definitions and Operators , shows how to extend the Kubernetes API with custom resources, what operators are, and includes a small, hands-on operator example to demonstrate its functions.
Chapter 13, Ensuring High Availability and Reliability, teaches patterns for resilient clusters and applications: redundancy, failover, and reliability design.
Chapter 14, Monitoring Best Practices, covers metrics, logs, tracing, and alerting with tools such as Prometheus and Grafana.
Chapter 15, Backup, Maintenance, and Disaster Recovery in Kubernetes, builds backup strategies, plans safe maintenance, and designs recovery procedures for real failures.
Chapter 16, Real-world Troubleshooting Scenarios, works through production-style incidents in deployment, scaling, storage, and networking—with step-by-step diagnosis.
Chapter 17, Common Mistakes and How to Avoid Them, focuses on communication under pressure, structured problem-solving, and avoiding frequent Kubernetes pitfalls.
Chapter 18, Interview Stories from Authors, shares real interview stories, lessons learned, and practical preparation tips to sharpen your edge.
