Advanced Go Programming Patterns cover

Advanced Go Programming Patterns

Concurrency, Performance, and Scalable Architecture

by Roberto Silva

$56.99

Overview

“Advanced Go Programming Patterns” takes you beyond the basics to explore sophisticated techniques for building robust, high-performance applications with Go. This book is designed for experienced developers who want to master Go’s advanced features and architectural patterns.

What You’ll Learn

  • Advanced Concurrency: Complex goroutine patterns, select statements, and context management
  • Performance Engineering: Profiling, optimization techniques, and memory management
  • Distributed Systems: Building resilient microservices and handling distributed challenges
  • Advanced Testing: Property-based testing, benchmarking, and integration testing strategies
  • Code Organization: Package design, dependency injection, and clean architecture
  • Production Patterns: Logging, monitoring, graceful shutdowns, and operational excellence

Key Features

  • Real-world Case Studies: Learn from production systems at scale
  • Performance Benchmarks: Detailed analysis of optimization techniques
  • Advanced Patterns: Worker pools, circuit breakers, and distributed patterns
  • Production-Ready Code: Complete examples with error handling and observability

Table of Contents

  1. Go Runtime Deep Dive: GC, Scheduler, and Memory Model
  2. Advanced Concurrency: Goroutines, Channels, and Synchronization
  3. Performance Engineering: Profiling and Optimization Techniques
  4. Memory Management: Allocation Patterns and GC Tuning
  5. Error Handling and Resilience Patterns
  6. Advanced Testing: Strategies for Complex Systems
  7. Package Design and Dependency Management
  8. Distributed Systems Patterns in Go
  9. Observability: Logging, Metrics, and Tracing
  10. Production Deployment and Operations

About the Author

Roberto Silva is a Principal Software Engineer at a major cloud infrastructure company, where he designs and implements high-throughput Go services handling petabytes of data. He’s a core contributor to several open-source Go projects and a regular speaker at GopherCon.