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How to absorb millions of writes per second without ever locking a mutex or pausing the world. The Problem: Writing Fast Is Surprisingly
We all know the basic drill of connecting a db in Go: func main(){ //... dsn := flag.String("dsn", "web:password@/demoProject", "MySQL data source
By: João Vitor Nascimento De Mendonça Originally published in Engineering Weekly / Tech Blog The Scenario: The Chaos
Many Go libraries borrow ideas from functional programming, usually Either, Result, and Option, to make error handling less repetitive. The promise is
Imagine a common scenario in a microservice architecture: A user clicks a "Buy" button, triggering a request to Service A. Service A calls Service B,
The classic Builder pattern — New().WithX().WithY().Build() — is rare in Go. But the problem it solves (constructing complex objects with many optiona
You have a Go program making 10 HTTP calls to an external API. Each call takes about 1 second. Result: your program takes 10 seconds to finish. With g
Introduction: The Performance Crisis In the high-stakes world of real-time bidding platforms, every millisecond counts. Our system, initial
I told Ollama "I just moved to Austin." Then I opened Claude Desktop and asked "where do I live?" Claude said Austin. I never told Claude anything. Bo
I had a problem. I was building a codebase indexer that needed to extract imports, exports, and type definitions from source files across multiple lan
Quick — what does this call do? v.validateDocument(raw, yaml.Unmarshal, "YAML", "dsl_version", accepted, "control", true, "Fix control to match
In the fast-moving world of AI-assisted development, tools that make large language models usable and efficient are shaping how developers actually bu
Your service needs to save an order and reserve inventory. Both must succeed or neither should. The instinct: func (s *Service) PlaceOrder(ctx cont
Open your domain package. Read the imports. package domain import ( "context" "fmt" ) Clean. This domain depends on nothing but stan
Your Go tests take 3 minutes because every "unit test" spins up PostgreSQL in Docker. That's not a testing problem. That's an architecture problem.
The biggest insight that changed how I structure Go services: Define interfaces where you USE them, not where you implement them. This one idea — co
You've seen it happen. Maybe you caused it. A Go service starts as a clean main.go with a few handlers. Six months later, the handler that was 40 lin
Rob Pike said in 2012: "Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once." Everyone nods at
Every backend team says the same thing when starting a new service: "This one will be lean." Then the infrastructure checklist arrives. Configura
Introduction The rise of Go as a systems programming language has sparked interest in leveraging its performance, concurrency model, and