Goroutines on Rafiul Alam

Complete Guide to Go Concurrency Patterns: Visual Patterns & Code Examples

Tue, 18 Nov 2025 00:00:00 +0000

Master all essential Go concurrency patterns with mermaid visualizations and practical code examples. From basic goroutines to advanced patterns like worker pools, fan-in/out, pipelines, and more.

Producer-Consumer: The Unbounded Buffer

Sat, 15 Nov 2025 00:00:00 +0000

The Producer-Consumer Problem

The Producer-Consumer pattern is one of the most fundamental concurrency patterns. It appears everywhere in modern software:

Message queues (RabbitMQ, Kafka, SQS)
Task processing (background jobs, worker pools)
Data pipelines (ETL, streaming analytics)
Event systems (event buses, pub/sub)
Buffering (I/O buffers, network buffers)

The Setup: Producers generate data, consumers process it. They run concurrently and need to coordinate through a shared buffer.

The Unbounded Buffer Variant

In this first variant, we use an unbounded buffer - the queue can grow infinitely (until we run out of memory). This is the simplest version and showcases Go’s beautiful channel abstraction.

Golang Experiments: Classic Concurrency Problems

Mon, 20 Oct 2025 00:00:00 +0000

Welcome to Golang Experiments!

This series explores classic concurrency problems through the lens of Go’s powerful concurrency primitives. Each problem is a timeless synchronization challenge that teaches fundamental concepts you’ll use in production systems every day.

What you’ll learn:

Go’s concurrency features (goroutines, channels, sync primitives)
How to recognize and solve common synchronization problems
Patterns that appear in real-world distributed systems
When to use different synchronization strategies

Why Study Classic Problems?

These aren’t just academic exercises! Each problem represents a pattern you’ll encounter in production:

Building a Real-Time File Monitor with Goroutines and Channels

Fri, 03 Oct 2025 00:00:00 +0000

File monitoring is a common requirement in many applications: watching for configuration changes, processing uploads, syncing directories, or building development tools. In this post, we’ll build a production-ready file monitoring service that tracks word counts across all files in a directory using Go’s powerful concurrency primitives.

The Challenge

Build a service that:

Monitors a directory and all its subdirectories
Counts words in all files in real-time
Updates counts when files are modified, created, or deleted
Processes multiple files concurrently
Provides current statistics on demand
Handles errors gracefully

Why This Matters

Real-time file monitoring powers many production systems:

Mastering Go Concurrency: The Coffee Shop Guide to Goroutines

Sun, 15 Dec 2024 00:00:00 +0000

Go Concurrency Patterns Series: Series Overview | Goroutine Basics | Channel Fundamentals

Introduction: Welcome to Go Coffee Shop

Imagine running a busy coffee shop. You have customers placing orders, baristas making drinks, shared equipment like espresso machines and milk steamers, and the constant challenge of managing it all efficiently. This is exactly what concurrent programming in Go is like - and goroutines are your baristas!

In this comprehensive guide, we’ll explore Go’s concurrency patterns through the lens of running a coffee shop. By the end, you’ll understand not just how to write concurrent Go code, but why these patterns work and when to use them.

Worker Pool Pattern in Go

Wed, 21 Aug 2024 00:00:00 +0000

Learn how to implement the Worker Pool pattern in Go for efficient resource management and bounded concurrency with practical examples.

Pub/Sub Pattern in Go

Wed, 17 Jul 2024 00:00:00 +0000

Learn how to implement the Publisher/Subscriber pattern in Go for event-driven communication and decoupled messaging systems.

Fan-Out/Fan-In Pattern in Go

Wed, 26 Jun 2024 00:00:00 +0000

Learn how to implement the Fan-Out/Fan-In pattern in Go for distributing work across multiple goroutines and collecting results efficiently.

Go Memory Model Explained

Tue, 25 Jun 2024 00:00:00 +0000

Deep dive into Go's memory model, happens-before relationships, memory visibility guarantees, and what really happens with goroutines and shared memory.

Go Concurrency Pattern: Goroutine Basics

Wed, 12 Jun 2024 00:00:00 +0000

Go Concurrency Patterns Series: Series Overview | Channel Fundamentals →

What are Goroutines?

Goroutines are lightweight threads managed by the Go runtime. They’re one of Go’s most powerful features, allowing you to write concurrent programs that can handle thousands of simultaneous operations with minimal overhead. Think of goroutines as extremely efficient workers that can run independently while sharing the same memory space.

Unlike traditional threads that typically consume 1-2MB of memory each, goroutines start with just 2KB of stack space and grow as needed. This efficiency allows Go programs to spawn millions of goroutines without overwhelming system resources.