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 planeUse Hubble for flow-level network triage and policy validationDebug live applications with Pixie - without modifying codeIdentify CPU hotspots safely using Parca continuous profilingDetect and enforce runtime behavior with TetragonIntegrate Falco in modern eBPF mode for syscall-level detectionBuild regression-proof upgrade workflowsStage runtime enforcement safelyCorrelate networking, latency, CPU, and security signalsRun full-stack incident drills under real loadEvery 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 EngineersSite Reliability Engineers (SRE)DevSecOps practitionersCloud-native infrastructure teamsSecurity engineers working in Kubernetes environmentsBy the end of this book, you will not just understand eBPF - you will operate Kubernetes with it.
You will gain:
Deterministic troubleshooting workflowsZero-trust networking and runtime enforcement patternsProduction-safe upgrade and rollback disciplineOperator-grade runbooks and validation checklistsA scalable foundation for multi-cluster and SLO-driven operationsIf 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.