Tagged articles
6 articles
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Golang Shines
Golang Shines
May 1, 2026 · Backend Development

Mastering Go Concurrency: From Basics to Advanced Patterns

The article walks readers through Go's concurrency model, explaining lightweight goroutines and channel communication, demonstrates common patterns such as worker pools and fan‑in/fan‑out with concrete code, highlights typical pitfalls like race conditions, deadlocks and memory leaks, and offers practical best‑practice recommendations for safe concurrent programming.

ConcurrencyGochannel
0 likes · 10 min read
Mastering Go Concurrency: From Basics to Advanced Patterns
FunTester
FunTester
Feb 26, 2026 · Backend Development

Master Go Concurrency: 5 Essential Patterns and a Practical Worker Pool Example

This article explains Go's powerful concurrency model, introduces five common patterns—worker pool, fan‑in/fan‑out, error handling, timeout control, and context management—detailing their use cases, core API components, and provides a complete worker‑pool implementation with optimization tips.

ConcurrencyGogoroutine
0 likes · 15 min read
Master Go Concurrency: 5 Essential Patterns and a Practical Worker Pool Example
Go Development Architecture Practice
Go Development Architecture Practice
Jan 28, 2026 · Backend Development

Accelerate Go Projects with Mix‑Go: Build CLI, API, Web, gRPC & Worker Pools Fast

This guide introduces Mix‑Go, a Go‑based rapid‑development framework that provides interactive scaffolding, command‑line prototyping, and a DI/IoC container, and walks through installing the tool, generating project skeletons, and creating functional CLI, API, Web, WebSocket, gRPC services and a worker‑pool queue consumer with complete code examples.

APICLIGo
0 likes · 28 min read
Accelerate Go Projects with Mix‑Go: Build CLI, API, Web, gRPC & Worker Pools Fast
Go Development Architecture Practice
Go Development Architecture Practice
Jul 23, 2025 · Backend Development

Scaling Go Backend: From Simple Goroutine to Job/Worker Pools

This article walks through three Go server‑side scaling techniques—starting a goroutine per request, using a buffered channel queue, and implementing a full job/worker pool with separate task and worker channels—complete with code examples and practical considerations for high‑traffic applications.

BackendConcurrencychannel
0 likes · 9 min read
Scaling Go Backend: From Simple Goroutine to Job/Worker Pools
MaGe Linux Operations
MaGe Linux Operations
Sep 16, 2022 · Backend Development

Mastering Goroutine Limits: How to Control Go Concurrency Efficiently

Learn how Go's lightweight goroutines work, why unlimited spawning can cause panics, and practical techniques—using sync.WaitGroup, buffered channels, and worker pools—to limit concurrent goroutine numbers safely and efficiently while preserving program correctness and performance.

Concurrencychannelgoroutine
0 likes · 4 min read
Mastering Goroutine Limits: How to Control Go Concurrency Efficiently