Practical Go & Backend Engineering
Learn Go by building production systems. Practical guides on Go, APIs, PostgreSQL, microservices, cloud, testing and performance.
funcFeatured()[]Article
View all →Designing a Production-Ready Go Backend: Architecture, Reliability and Operations
How the pieces of a production Go backend fit together: application architecture, reliability patterns, data, messaging, security, observability, and deployment — plus when to choose a monolith, modular monolith, or microservices.
Kubernetes for Go Developers: Deploying a Production-Ready Go API
What actually happens when Kubernetes sends your Go process SIGTERM, and the Deployment, Service, probe, and resource config a production Go API needs.
Event-Driven Architecture with Go: Events, Consumers and Failure Handling
Designing event-driven Go services: commands vs events, consumer groups, ordering, and why every consumer must handle duplicate delivery.
funcLatest()[]Article
Designing a Production-Ready Go Backend: Architecture, Reliability and Operations
How the pieces of a production Go backend fit together: application architecture, reliability patterns, data, messaging, security, observability, and deployment — plus when to choose a monolith, modular monolith, or microservices.
Scaling PostgreSQL for Go Applications: Read Replicas, Connection Pools and Query Performance
A practical order of operations for scaling PostgreSQL under a growing Go service: query optimization first, then pooling, then read replicas — and why the order matters.
Advanced Go Concurrency: Worker Pools, Backpressure and Bounded Concurrency
Why unbounded goroutines don't scale: semaphore-based bounded concurrency, backpressure, errgroup, goroutine leaks, and a real benchmark comparing the two.
Database Transactions in Go: Isolation Levels, Locks and Real-World Failures
PostgreSQL transaction isolation levels in Go, explained through a real race condition: lost updates, SELECT FOR UPDATE, and why app-level locking isn't enough.
Kubernetes for Go Developers: Deploying a Production-Ready Go API
What actually happens when Kubernetes sends your Go process SIGTERM, and the Deployment, Service, probe, and resource config a production Go API needs.
Securing Go REST APIs: Authentication, Authorization and Common Attack Surfaces
Practical Go API security: authentication vs authorization, JWT and refresh tokens, object-level authorization, SQL injection, CORS, and a production checklist.
funcTopics()[]Category
Go
5 articlesLanguage fundamentals, concurrency, and idiomatic patterns for production Go code.
Backend
5 articlesAPI design, service architecture, and building maintainable backend systems.
PostgreSQL
5 articlesIndexing, query planning, and practical database engineering for backend developers.
Microservices
7 articlesService boundaries, communication patterns, and project structure for distributed systems.
Cloud
1 articleDeploying and operating backend systems on modern cloud infrastructure.
Performance
2 articlesProfiling, benchmarking, and optimizing Go applications under real workloads.
Testing
1 articleUnit, integration, and HTTP testing strategies for reliable backend software.
Distributed Systems
2 articlesLocks, consensus, delivery guarantees, and the failure modes unique to systems that span machines.
Security
1 articleAuthentication, authorization, and the attack surfaces every production API has to defend.
Architecture
1 articleSystem design trade-offs for backend services, from a single API to a full production platform.
New here? Follow the Go roadmap for a structured path through all of it.
GoBackend Starter
A production-oriented Go backend template: Chi, PostgreSQL, SQLC, JWT authentication, structured logging, Docker, and tests — the same architecture used throughout the articles on this site.
$ git clone github.com/gobackend-dev/gobackend-starter
$ cd gobackend-starter
$ cp .env.example .env
$ docker compose up
# API running at localhost:8080
funcWhyGoBackend()[]Reason
Production-first
Every guide is built around real systems, not toy examples.
Backend-focused
Go, PostgreSQL, microservices, and the operational details in between.
No fluff
Problem, reasoning, implementation, and trade-offs — nothing padded.
Tested code
Examples reflect the standard library and code that actually compiles.
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