Advanced Go Performance Engineering
The Complete Guide to Profiling, Benchmarking, and Optimization
Welcome to the definitive guide for Go performance engineering. This comprehensive resource covers everything from basic profiling concepts to advanced optimization techniques used in production systems.
🎯 What You'll Learn
- Profiling Mastery: CPU, memory, goroutine, mutex, and block profiling
- Benchmarking Excellence: Writing effective benchmarks and interpreting results
- Optimization Strategies: Memory management, algorithm optimization, and concurrency patterns
- Production Techniques: Real-world performance monitoring and debugging
- Advanced Topics: Custom profilers, performance testing, and scalability analysis
🚀 Who This Guide Is For
- Go Developers seeking to optimize application performance
- DevOps Engineers monitoring production Go services
- System Architects designing high-performance Go systems
- Performance Engineers specializing in Go optimization
- Technical Leads making performance-critical decisions
📊 Case Study: Real-World Optimization
This guide includes a complete case study demonstrating:
- 5.35x performance improvement (798ms → 149ms)
- 86x faster string operations (674ns → 7.8ns)
- 98% memory allocation reduction
- Production-ready optimization techniques
🛠 Prerequisites
- Go 1.21+ (examples use Go 1.24 features)
- Basic understanding of Go programming
- Familiarity with command-line tools
- Access to a Unix-like environment (Linux/macOS)
📖 How to Use This Guide
Each chapter builds upon previous concepts while remaining self-contained for reference. Code examples are production-tested and include complete implementations.
Recommended Reading Path:
- Start with Fundamentals for core concepts
- Progress through Profiling Tools for hands-on experience
- Apply Optimization Techniques to real projects
- Implement Production Strategies for live systems
🔗 Quick Links
- Getting Started - Setup and first profile
- Profiling Tools - Complete tool reference
- Continuous Profiling (Grafana Pyroscope) - End-to-end tutorial
- Case Studies - Real-world examples
- Best Practices - Production guidelines
Version: 1.0.0
Go Version: 1.24+
Repository: https://github.com/psavelis/codechallenge
This guide is actively maintained and updated with the latest Go performance techniques and best practices.