eBPF Mastery

@amitmund July 09, 2026

eBPF Mastery 2026

The Complete Beginner to Advanced Guide to eBPF (Extended Berkeley Packet Filter), Linux Kernel Programming, Observability, Networking, Security, Performance Engineering, and Cloud-Native Systems


Course Goal

This course is designed to take you from absolute beginner to production-ready eBPF Engineer, Linux Kernel Engineer, Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Security Engineer, Performance Engineer, or Systems Architect.

By the end of this learning track, you will be able to:

  • Understand Linux Kernel Internals
  • Master eBPF Programming
  • Build High-Performance Networking Solutions
  • Build Kernel-Level Security Tools
  • Build Observability Platforms
  • Create Custom eBPF Applications
  • Understand Kubernetes Networking
  • Debug Production Systems
  • Analyze Linux Performance
  • Prepare for eBPF & Kernel Engineering Interviews

Prerequisites

  • Linux Mastery
  • Bash Scripting
  • C Programming Basics
  • Networking Fundamentals
  • Operating System Fundamentals
  • Docker
  • Kubernetes (Recommended)

Course Structure


Module 1 — eBPF Fundamentals

Chapter 1 — Introduction to eBPF

  • Learning Objectives
  • What is eBPF?
  • History
  • Berkeley Packet Filter
  • Extended BPF
  • Evolution
  • Why eBPF?
  • Kernel Architecture
  • eBPF Ecosystem

Chapter 2 — Linux Kernel Fundamentals

  • Linux Architecture
  • User Space
  • Kernel Space
  • System Calls
  • Kernel Modules
  • Kernel Memory
  • Process Lifecycle
  • Internal Working

Chapter 3 — eBPF Architecture

  • eBPF VM
  • eBPF Bytecode
  • Verifier
  • JIT Compiler
  • Maps
  • Helpers
  • Hooks
  • Program Lifecycle

Chapter 4 — Installing Development Environment

  • Linux Setup
  • Kernel Requirements
  • Clang
  • LLVM
  • bpftool
  • libbpf
  • BCC
  • bpftrace
  • CO-RE Setup

Chapter 5 — Your First eBPF Program

  • Hello World
  • Compilation
  • Loading
  • Verification
  • Attaching
  • Running
  • Debugging

Module 2 — Linux Kernel Internals

Chapter 6 — Process Management

Chapter 7 — Memory Management

Chapter 8 — File Systems

Chapter 9 — Scheduler

Chapter 10 — Interrupts

Chapter 11 — Kernel Networking

Chapter 12 — Virtual Memory

Chapter 13 — cgroups

Chapter 14 — Namespaces


Module 3 — eBPF Programming

Chapter 15 — eBPF Instruction Set

Chapter 16 — Registers

Chapter 17 — Stack

Chapter 18 — Helpers

Chapter 19 — Maps

Chapter 20 — Tail Calls

Chapter 21 — Ring Buffer

Chapter 22 — Perf Buffer

Chapter 23 — CO-RE

Chapter 24 — libbpf


Module 4 — eBPF Program Types

Chapter 25 — Kprobes

Chapter 26 — Uprobes

Chapter 27 — Tracepoints

Chapter 28 — Raw Tracepoints

Chapter 29 — XDP

Chapter 30 — TC

Chapter 31 — Socket Filters

Chapter 32 — Cgroup Programs

Chapter 33 — LSM Programs

Chapter 34 — Perf Events


Module 5 — eBPF Maps

Chapter 35 — Hash Maps

Chapter 36 — Array Maps

Chapter 37 — Per-CPU Maps

Chapter 38 — Ring Buffer

Chapter 39 — Queue Maps

Chapter 40 — Stack Maps

Chapter 41 — LRU Maps

Chapter 42 — Bloom Filter Maps

Chapter 43 — Trie Maps


Module 6 — Networking with eBPF

Chapter 44 — Packet Processing

Chapter 45 — XDP

Chapter 46 — Traffic Control

Chapter 47 — Socket Layer

Chapter 48 — Load Balancing

Chapter 49 — Firewall

Chapter 50 — DDoS Protection

Chapter 51 — Service Mesh

Chapter 52 — Kubernetes Networking


Module 7 — Observability

Chapter 53 — Tracing

Chapter 54 — Metrics

Chapter 55 — Profiling

Chapter 56 — Logging

Chapter 57 — System Monitoring

Chapter 58 — Process Monitoring

Chapter 59 — Network Monitoring

Chapter 60 — Performance Analysis


Module 8 — Security

Chapter 61 — Runtime Security

Chapter 62 — Process Monitoring

Chapter 63 — File Monitoring

Chapter 64 — Network Security

Chapter 65 — Malware Detection

Chapter 66 — Container Security

Chapter 67 — Kubernetes Security

Chapter 68 — LSM Hooks


Module 9 — Performance Engineering

Chapter 69 — CPU Profiling

Chapter 70 — Memory Profiling

Chapter 71 — Latency Analysis

Chapter 72 — Scheduling Analysis

Chapter 73 — System Bottlenecks

Chapter 74 — Performance Optimization


Module 10 — Cloud Native eBPF

Chapter 75 — Docker

Chapter 76 — Kubernetes

Chapter 77 — Cilium

Chapter 78 — Hubble

Chapter 79 — Service Mesh

Chapter 80 — Envoy Integration

Chapter 81 — Cloud Networking


Module 11 — eBPF Frameworks

Chapter 82 — BCC

Chapter 83 — bpftrace

Chapter 84 — libbpf

Chapter 85 — Aya (Rust)

Chapter 86 — Go eBPF

Chapter 87 — Python Bindings


Module 12 — Production Tools

Chapter 88 — Cilium

Chapter 89 — Falco

Chapter 90 — Pixie

Chapter 91 — Tetragon

Chapter 92 — Katran

Chapter 93 — Tracee

Chapter 94 — Inspektor Gadget


Module 13 — Kubernetes & Cloud

Chapter 95 — CNI

Chapter 96 — Service Mesh

Chapter 97 — Network Policies

Chapter 98 — eBPF in Kubernetes

Chapter 99 — Cloud Native Security

Chapter 100 — Multi Cluster Networking


Module 14 — Advanced Internals

Chapter 101 — Verifier Internals

Chapter 102 — JIT Compiler

Chapter 103 — Kernel Hooks

Chapter 104 — Memory Safety

Chapter 105 — eBPF Scheduler

Chapter 106 — CO-RE Internals

Chapter 107 — BTF

Chapter 108 — ELF Loading


Module 15 — Real World Projects

Chapter 109 — Packet Analyzer

Chapter 110 — Network Firewall

Chapter 111 — Kubernetes Monitor

Chapter 112 — Process Monitor

Chapter 113 — Runtime Security Agent

Chapter 114 — DDoS Detector

Chapter 115 — Performance Profiler

Chapter 116 — Cloud Observability Platform


Module 16 — Interview Preparation

Chapter 117 — Linux Kernel Questions

Chapter 118 — eBPF Questions

Chapter 119 — Networking Questions

Chapter 120 — Kubernetes Questions

Chapter 121 — Security Questions

Chapter 122 — Mock Interviews


Module 17 — Bonus

Chapter 123 — eBPF Tips & Tricks

Chapter 124 — Hidden Features

Chapter 125 — Performance Hacks

Chapter 126 — Common Workarounds

Chapter 127 — Enterprise Best Practices

Chapter 128 — Future of eBPF


Every Chapter Includes

Each chapter follows the same professional structure:

  • Learning Objectives
  • Prerequisites
  • Theory
  • Internal Working
  • Kernel Architecture
  • Memory Flow
  • CPU Flow
  • Packet Flow
  • Mermaid Diagrams
  • ASCII Diagrams
  • Flowcharts
  • Kernel Call Stack
  • C Code Examples
  • Go Examples
  • Rust Examples
  • Python Examples
  • libbpf Examples
  • BCC Examples
  • bpftrace Examples
  • Docker Examples
  • Kubernetes Examples
  • Production Examples
  • Enterprise Case Studies
  • Performance Optimization
  • Security Notes
  • Best Practices
  • Common Mistakes
  • Troubleshooting Guide
  • FAQs
  • Hands-on Labs
  • Home Lab Exercises
  • Mini Projects
  • Capstone Projects
  • Exercises
  • Quiz
  • Interview Questions
  • Challenge Problems
  • Cheat Sheet
  • Summary
  • References
  • Linux Kernel Source References
  • Research Papers
  • Glossary

Hands-on Labs

  1. Build Your First eBPF Program
  2. Trace System Calls
  3. Monitor File Operations
  4. Capture Network Packets
  5. Build a TCP Monitor
  6. Implement XDP Firewall
  7. Monitor Docker Containers
  8. Monitor Kubernetes Pods
  9. Build a Process Profiler
  10. Build a Runtime Security Agent
  11. Analyze CPU Usage
  12. Create a Network Load Balancer
  13. Build a Kubernetes Network Policy Monitor
  14. Build a Cloud-Native Observability Platform
  15. Create a Production eBPF Toolkit

Capstone Projects

  1. eBPF-Based Process Monitor
  2. XDP Firewall
  3. Kubernetes Security Monitor
  4. Network Intrusion Detection System
  5. Runtime Malware Detection Platform
  6. Cloud-Native Observability Agent
  7. High-Performance Load Balancer
  8. eBPF Performance Profiler
  9. Distributed Network Analyzer
  10. Enterprise eBPF Monitoring Platform

eBPF Ecosystem Covered

Core Technologies

  • eBPF
  • BPF
  • libbpf
  • bpftool
  • BTF
  • CO-RE
  • LLVM
  • Clang

Frameworks

  • BCC
  • bpftrace
  • Aya (Rust)
  • cilium/ebpf (Go)
  • libbpf-bootstrap

Production Projects

  • Cilium
  • Hubble
  • Falco
  • Tetragon
  • Pixie
  • Katran
  • Tracee
  • Inspektor Gadget

Linux Technologies

  • Kernel
  • cgroups
  • Namespaces
  • XDP
  • TC
  • Netfilter
  • iptables
  • nftables

Cloud Native

  • Docker
  • Kubernetes
  • CNI
  • Service Mesh
  • Envoy
  • Istio

Research Papers & Documentation

Study and analyze:

  • Original BPF Paper
  • eBPF Documentation
  • Linux Kernel Documentation
  • Cilium Documentation
  • XDP Documentation
  • BCC Documentation
  • libbpf Documentation
  • Falco Architecture
  • Pixie Architecture
  • Meta Katran Paper
  • Cloudflare eBPF Articles
  • Netflix eBPF Case Studies

Certification Preparation

This course prepares you for concepts used in:

  • Linux Foundation
  • CNCF Ecosystem
  • Kubernetes Certifications (CKA, CKAD, CKS)
  • Cilium Certifications
  • Linux Kernel Engineering Roles
  • Platform Engineering Interviews
  • SRE Interviews
  • Cloud Infrastructure Interviews

Estimated Course Size

  • 17 Modules
  • 128 Chapters
  • 5,500+ Pages
  • 3,000+ Code Examples
  • 800+ Architecture Diagrams
  • 350+ Hands-on Labs
  • 100+ Production Projects
  • Enterprise Case Studies
  • Complete Linux Kernel & eBPF Interview Preparation

Final Outcome

After completing this learning track, you will be able to:

  • Understand Linux kernel internals and eBPF execution from first principles.
  • Develop high-performance eBPF programs for networking, observability, security, and performance analysis.
  • Build production-grade tools similar to Cilium, Falco, Pixie, Katran, and Tetragon.
  • Diagnose performance bottlenecks, trace kernel behavior, and secure cloud-native workloads with minimal overhead.
  • Integrate eBPF into Kubernetes, containers, and modern cloud infrastructure.
  • Confidently work as a Linux Kernel Engineer, eBPF Engineer, Platform Engineer, SRE, Cloud Engineer, Security Engineer, or Performance Engineer.
  • Successfully prepare for advanced Linux, kernel, cloud-native infrastructure, and distributed systems interviews.
0 Likes
23 Views
0 Comments

Filters

No filters available for this view.

Reset All