| name | go-concurrency-web |
| description | Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling. |
Go Concurrency for Web Applications
Quick Reference
Core Rules
- Goroutines are cheap but not free — each goroutine consumes ~2-8 KB of stack. Unbounded spawning under load leads to OOM.
- Always have a shutdown path — every goroutine you start must have a way to exit. Use
context.Context, channel closing, or sync.WaitGroup.
- Prefer channels for communication — use channels to coordinate work between goroutines and signal completion.
- Use mutexes for state protection — when goroutines share mutable state, protect it with
sync.Mutex, sync.RWMutex, or sync/atomic.
- Never spawn raw goroutines in HTTP handlers — use worker pools,
errgroup, or other bounded concurrency primitives.
Gates (check before merge or review)
Use these sequenced checks for objective pass/fail; do not replace them with “I verified mentally.”
- Race detector
- Run
go test -race ./... on packages that changed concurrent code, or go build -race for binaries under test.
- Pass: exit code
0. If you report “no races,” attach or cite CI output / saved terminal transcript—do not assert cleanliness without that artifact.
- Bounded background work from HTTP
- Inspect handlers and middleware that start work beyond the request goroutine.
- Pass: every such path uses a bounded primitive (worker pool, buffered channel with documented capacity,
errgroup with an explicit concurrency cap)—not unbounded go per incoming request.
- Graceful teardown
- For processes that start long-lived goroutines, trace from shutdown signal (or test
defer) to Wait() / channel close / context cancel for each goroutine family.
- Pass: you can point to the call chain or a test that proves shutdown completes without hang (no orphan goroutines).
Worker Pool Pattern
Use worker pools for background tasks dispatched from HTTP handlers. This bounds concurrency and provides graceful shutdown.
type WorkerPool struct {
jobs chan Job
wg sync.WaitGroup
logger *slog.Logger
}
type Job struct {
ID string
Execute func(ctx context.Context) error
}
func NewWorkerPool(numWorkers int, queueSize int, logger *slog.Logger) *WorkerPool {
wp := &WorkerPool{
jobs: make(chan Job, queueSize),
logger: logger,
}
for i := 0; i < numWorkers; i++ {
wp.wg.Add(1)
go wp.worker(i)
}
return wp
}
func (wp *WorkerPool) worker(id int) {
defer wp.wg.Done()
for job := range wp.jobs {
wp.logger.Info("processing job", "worker", id, "job_id", job.ID)
if err := job.Execute(context.Background()); err != nil {
wp.logger.Error("job failed", "worker", id, "job_id", job.ID, "err", err)
}
}
}
func (wp *WorkerPool) Submit(job Job) {
wp.jobs <- job
}
func (wp *WorkerPool) Shutdown() {
close(wp.jobs)
wp.wg.Wait()
}
Usage in HTTP Handler
func (s *Server) handleCreateUser(w http.ResponseWriter, r *http.Request) {
user, err := s.userService.Create(r.Context(), decodeUser(r))
if err != nil {
handleError(w, r, err)
return
}
s.workers.Submit(Job{
ID: "welcome-email-" + user.ID,
Execute: func(ctx context.Context) error {
return s.emailService.SendWelcome(ctx, user)
},
})
writeJSON(w, http.StatusCreated, user)
}
See references/worker-pools.md for sizing guidance, backpressure, error handling, retry patterns, and errgroup as a simpler alternative.
Rate Limiting
Use golang.org/x/time/rate for token bucket rate limiting. Apply as middleware for global limits or per-IP/per-user limits.
Key points:
- Global rate limiting protects overall service capacity
- Per-IP rate limiting prevents individual clients from monopolizing resources
- Always return
429 Too Many Requests with a Retry-After header
See references/rate-limiting.md for middleware implementation, per-IP limiting, stale limiter cleanup, and API key-based limiting.
Race Detection
Run the race detector in development and CI:
go test -race ./...
go build -race -o myserver ./cmd/server
The race detector catches concurrent reads and writes to shared memory. It does not catch logical races (e.g., TOCTOU bugs) or deadlocks.
See references/race-detection.md for common web handler races, fixing strategies, and CI integration.
Handler Safety
Every incoming HTTP request runs in its own goroutine. Any shared mutable state on the server struct is a potential data race.
type Server struct {
requestCount int
}
func (s *Server) handleRequest(w http.ResponseWriter, r *http.Request) {
s.requestCount++
}
type Server struct {
requestCount atomic.Int64
}
func (s *Server) handleRequest(w http.ResponseWriter, r *http.Request) {
s.requestCount.Add(1)
}
type Server struct {
mu sync.RWMutex
cache map[string]*CachedItem
}
func (s *Server) handleGetCached(w http.ResponseWriter, r *http.Request) {
s.mu.RLock()
item, ok := s.cache[r.PathValue("key")]
s.mu.RUnlock()
}
Rules for Handler Safety
- Request-scoped data is safe —
r.Context(), request body, URL params are isolated per request.
- Server struct fields are shared — any field on
*Server accessed by handlers needs synchronization.
- Database connections are safe —
*sql.DB manages its own connection pool with internal locking.
- Maps are not safe — use
sync.Map or protect with a mutex.
- Slices are not safe — concurrent append or read/write requires a mutex.
Anti-Patterns
Unbounded goroutine spawning
func (s *Server) handleWebhook(w http.ResponseWriter, r *http.Request) {
go func() {
s.processWebhook(r.Context(), decodeWebhook(r))
}()
w.WriteHeader(http.StatusAccepted)
}
func (s *Server) handleWebhook(w http.ResponseWriter, r *http.Request) {
webhook := decodeWebhook(r)
s.workers.Submit(Job{
ID: "webhook-" + webhook.ID,
Execute: func(ctx context.Context) error {
return s.processWebhook(ctx, webhook)
},
})
w.WriteHeader(http.StatusAccepted)
}
Forgetting to propagate context
func (s *Server) handleSearch(w http.ResponseWriter, r *http.Request) {
results, err := s.search(context.Background(), r.URL.Query().Get("q"))
}
func (s *Server) handleSearch(w http.ResponseWriter, r *http.Request) {
results, err := s.search(r.Context(), r.URL.Query().Get("q"))
}
Goroutine leak from missing channel receiver
func fetchWithTimeout(ctx context.Context, url string) (*Response, error) {
ch := make(chan *Response)
go func() {
resp, _ := http.Get(url)
ch <- resp
}()
select {
case resp := <-ch:
return resp, nil
case <-ctx.Done():
return nil, ctx.Err()
}
}
func fetchWithTimeout(ctx context.Context, url string) (*Response, error) {
ch := make(chan *Response, 1)
go func() {
resp, _ := http.Get(url)
ch <- resp
}()
select {
case resp := <-ch:
return resp, nil
case <-ctx.Done():
return nil, ctx.Err()
}
}
Using time.Sleep for coordination
go doWork()
time.Sleep(5 * time.Second)
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
doWork()
}()
wg.Wait()