Overview

Kubernetes observability and security have changed. Traditional logging, sidecars, and metrics scraping are no longer enough for production-grade clusters. Modern platforms demand kernel-level visibility, deterministic networking, continuous profiling, and runtime enforcement - without sacrificing performance. eBPF for Kubernetes in Production is a hands-on, operator-focused guide to building a real-world, production-ready eBPF operations stack from the ground up. This is not a theoretical introduction to eBPF. This book shows you how to: Deploy Cilium as a high-performance eBPF data plane Use Hubble for flow-level network triage and policy validation Debug live applications with Pixie - without modifying code Identify CPU hotspots safely using Parca continuous profiling Detect and enforce runtime behavior with Tetragon Integrate Falco in modern eBPF mode for syscall-level detection Build regression-proof upgrade workflows Stage runtime enforcement safely Correlate networking, latency, CPU, and security signals Run full-stack incident drills under real load Every chapter is practical. Every section builds toward a production-grade capstone. You will construct a complete eBPF-powered Kubernetes operations platform and then stress-test it through a guided ""week of incidents"" - including dropped traffic, latency regressions, CPU burn, and suspicious runtime activity - while capturing evidence, executing containment, and validating rollback procedures. This book is designed for: Platform Engineers Site Reliability Engineers (SRE) DevSecOps practitioners Cloud-native infrastructure teams Security engineers working in Kubernetes environments By the end of this book, you will not just understand eBPF - you will operate Kubernetes with it. You will gain: Deterministic troubleshooting workflows Zero-trust networking and runtime enforcement patterns Production-safe upgrade and rollback discipline Operator-grade runbooks and validation checklists A scalable foundation for multi-cluster and SLO-driven operations If you are responsible for Kubernetes in production and want deep visibility without invasive instrumentation, this book provides the architecture, workflows, and operational discipline to make eBPF a first-class part of your platform. Stop guessing. Start correlating. Operate Kubernetes with kernel-level truth.

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