Custom eBPF Programming Guide
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Home > Computing and Information Technology > Operating systems > Open source and other operating systems > Linux > Custom eBPF Programming Guide: Hands-On Kernel Tools for Observability & Performance
Custom eBPF Programming Guide: Hands-On Kernel Tools for Observability & Performance

Custom eBPF Programming Guide: Hands-On Kernel Tools for Observability & Performance


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About the Book

The Extended Berkeley Packet Filter (eBPF) is transforming how engineers observe, secure, and optimize Linux systems. Once confined to kernel hackers and low-level developers, eBPF now empowers modern DevOps teams, SREs, and performance engineers to build real-time observability, tracing, and security tools directly inside the Linux kernel-without recompiling or rebooting. It's the next evolution of Linux performance engineering and the cornerstone of cloud-native observability across Kubernetes, containers, and microservices.

Written by a seasoned Linux systems engineer and performance optimization expert, this guide is built for professionals who demand clarity, precision, and production-grade insight. Drawing from real-world cloud infrastructure and observability stacks, it goes far beyond tutorials-offering the in-depth architecture, verified code examples, and kernel-level debugging techniques that today's engineers use in advanced DevOps and SRE environments.

Custom eBPF Programming Guide is a complete, hands-on roadmap for building your own kernel-level monitoring and performance tools using C, Go, and CO-RE (Compile Once, Run Everywhere). It transforms eBPF from a complex concept into a practical skillset. From understanding the eBPF verifier and instruction set to developing real-world observability applications, this book equips you with a deep mastery of how to write, load, and manage eBPF programs for performance tuning, system tracing, network security, and runtime analytics.

You'll learn to integrate eBPF with Grafana, Prometheus, and modern CI/CD pipelines, and how to safely extend kernel capabilities without compromising system stability.

What's Inside:
  • A step-by-step breakdown of eBPF architecture, verifier logic, and bytecode behavior

  • Complete C and Go code examples for building custom tracing tools

  • Guidance on using maps, ring buffers, and kprobes for safe kernel data exchange

  • Practical labs for tracing system calls, debugging latency, and profiling live workloads

  • Setup instructions for a full Linux eBPF development environment using Clang, LLVM, and Cilium/ebpf

  • Expert commentary on kernel safety, performance optimization, and production readiness

This guide is written for software engineers, DevOps professionals, SREs, performance analysts, and Linux power users who want to gain deep, practical insight into kernel-level observability. Whether you're building scalable cloud infrastructure or diagnosing complex performance bottlenecks, this book empowers you to understand and control the Linux kernel like never before.

The Linux ecosystem is evolving fast. Technologies like eBPF, Cilium, and BTF/CO-RE are reshaping the landscape of performance and security monitoring in Kubernetes, containers, and edge computing.
By mastering eBPF today, you're not just learning another tool-you're future-proofing your career in systems programming, observability, and cloud infrastructure engineering.

If you're ready to move beyond surface-level metrics and see what's really happening inside the Linux kernel, this is your ultimate guide.
Start building your own high-performance, real-time observability tools today with Custom eBPF Programming Guide.
Whether you're optimizing production workloads, securing critical infrastructure, or simply exploring the power of eBPF, this book will take you from concept to command line with confidence.


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Product Details
  • ISBN-13: 9798269242286
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 156
  • Returnable: N
  • Sub Title: Hands-On Kernel Tools for Observability & Performance
  • Width: 178 mm
  • ISBN-10: 8269242284
  • Publisher Date: 10 Oct 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Weight: 281 gr


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