Build Fast, Reliable, Production-Ready Services

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Go was built for exactly the software backend teams write every day: networked services that must be fast, stay up, and remain easy to understand as the team grows.

This book takes you from your first Go module to a production system with PostgreSQL, Redis, message queues, observability, resilience, and a Kubernetes deployment pipeline — with one realistic running example, the Orbit Store e-commerce marketplace, carried through every chapter.

WHAT'S INSIDE
➔ 562 pages · 28 chapters in 6 parts + 4 appendices
➔ Idiomatic Go for backend developers coming from Java, C#, Python, Node.js, or PHP
➔ Concurrency done right: goroutines, channels, select, context, sync, and errgroup patterns
➔ HTTP APIs with net/http and the enhanced ServeMux, middleware, JSON, validation, auth, and gRPC
➔ PostgreSQL with database/sql, pgx, and sqlc; migrations, transactions, Redis caching, events, and the outbox pattern
➔ Production readiness: slog, OpenTelemetry, pprof, timeouts, retries, rate limiting, graceful shutdown, security, Docker, Kubernetes, and CI/CD
➔ 2 end-to-end case studies: the Orbit Store order service and an AI shopping assistant backend
➔ Tips, notes, warnings, and a Key Takeaways box in every chapter

Table Of Contents

PART I — GO FOUNDATIONS FOR BACKEND ENGINEERS

• Ch 1 · Why Go for Backend Development
• Ch 2 · Tooling, Modules, and Project Layout
• Ch 3 · Types, Structs, Methods, and Interfaces
• Ch 4 · Errors Done Right: Wrapping, Sentinels, and Custom Types
• Ch 5 · Generics, Collections, and the Standard Library Toolbox
• Ch 6 · Testing Fundamentals: Table Tests, Subtests, Fuzzing, and Benchmarks

PART II — CONCURRENCY

• Ch 7 · Goroutines, Channels, and select
• Ch 8 · The context Package: Cancellation, Deadlines, and Request Scope
• Ch 9 · Synchronization: sync, atomic, and the Go Memory Model
• Ch 10 · Concurrency Patterns: Worker Pools, Pipelines, Fan-Out/Fan-In, and errgroup

PART III — BUILDING HTTP AND RPC APIS

• Ch 11 · net/http in Depth: Servers, Handlers, and the Enhanced ServeMux
• Ch 12 · Middleware, Routing Libraries, and the Request Lifecycle
• Ch 13 · JSON, Validation, and REST API Design
• Ch 14 · Authentication and Authorization
• Ch 15 · gRPC and Protocol Buffers
• Ch 16 · Configuration and Structured Logging with log/slog

PART IV — DATA AND MESSAGING

• Ch 17 · Working with PostgreSQL: database/sql and pgx
• Ch 18 · Transactions, Migrations, and Type-Safe SQL with sqlc
• Ch 19 · Caching with Redis
• Ch 20 · Messaging, Events, and Background Jobs

PART V — PRODUCTION READINESS

• Ch 21 · Observability: Metrics, Tracing, and OpenTelemetry
• Ch 22 · Performance: Profiling with pprof, Memory, Allocations, and the GC
• Ch 23 · Resilience: Timeouts, Retries, Rate Limiting, Circuit Breakers, Graceful Shutdown
• Ch 24 · Security for Go Services
• Ch 25 · Containers, Kubernetes, and CI/CD for Go

PART VI — ARCHITECTURE AND CASE STUDIES

• Ch 26 · Structuring Large Go Codebases: Packages, Boundaries, and Hexagonal Design
• Ch 27 · Case Study: Building the Orbit Store Order Service End to End
• Ch 28 · Case Study: Adding an AI Shopping Assistant Backend in Go

APPENDICES

• App A · Go Cheat Sheet
• App B · Service Template and Reference
• App C · Production Checklist
• App D · Glossary

WHO IT IS FOR
Backend developers moving to Go, Go developers who want the full production picture, tech leads evaluating Go, and platform engineers building services and tools.

FORMAT
PDF (A4), 562 pages, English, clickable table of contents and PDF bookmarks. 1st Edition, 2026. Published by thenexbooks.

Book details