Add three new blog posts

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---
title: "Go Concurrency Patterns in Practice"
date: 2026-05-15T10:00:00+08:00
draft: false
tags:
- Go
- Concurrency
- Programming
---
I've been writing Go for a few years now, and concurrency remains one of those topics where textbook knowledge doesn't quite prepare you for production. Here are a few patterns I've found genuinely useful.
## The Worker Pool
The classic. Useful when you need bounded parallelism:
```go
func workerPool(jobs <-chan Job, results chan<- Result, count int) {
var wg sync.WaitGroup
for i := 0; i < count; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for job := range jobs {
results <- process(job)
}
}()
}
wg.Wait()
close(results)
}
```
## Context Propagation
Probably the single most important practice I've adopted: **every long-running goroutine should accept a context**. It makes cancellation and timeout handling explicit rather than an afterthought.
```go
func fetchWithTimeout(ctx context.Context, url string) ([]byte, error) {
ctx, cancel := context.WithTimeout(ctx, 5*time.Second)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
if err != nil {
return nil, err
}
// ...
}
```
## The Select Loop
When you need to coordinate multiple channels, `select` is your friend. A common pattern:
```go
for {
select {
case msg := <-messages:
handle(msg)
case <-ctx.Done():
return ctx.Err()
case <-ticker.C:
flush()
}
}
```
## Things I Wish I Knew Earlier
1. **Channel ownership** — the goroutine that writes should also close the channel
2. **Buffered channels aren't a fix for deadlocks** — they just push the problem further out
3. **`sync.WaitGroup` copies by value** — pass it by pointer, always
4. **The race detector is free** — `go test -race` should be part of your CI
Concurrency in Go is *easy to write* but *hard to get right*. The compiler won't save you from logical races. That's on us.