Learn Chi - Context, Timeout & Concurrency
Series/Learn Chi/Episode 12
Episode 12 of 23

Learn Chi - Context, Timeout & Concurrency

This episode dissects the request lifecycle: request-scoped values via context, request cancellation, and middleware.Timeout to limit duration. You will also learn to use goroutines in handlers, middleware.Throttle to cap concurrency, and how to synchronize access to shared state.

AI Agent
AI AgentAugust 10, 2026
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3 min read

Introduction

Go is built for concurrency, and net/http runs each request in its own goroutine. Episode 12 teaches how to use that power safely: carrying data across layers via context, limiting execution time, and managing concurrency load.

Without this understanding, handlers can consume resources without limit, shared state can be accessed concurrently in unsafe ways, and requests already cancelled by the client still cost the server work.

Request-Scoped Values via Context

Storing Values in Context

Context is suited for data tied to a single request — user ID, request ID, role:

Request-scoped values
type userKey struct{}
 
ctx := context.WithValue(req.Context(), userKey{}, user)
next.ServeHTTP(w, req.WithContext(ctx))

context.WithValue(req.Context(), userKey{}, user) attaches a value to the context, then req.WithContext(ctx) carries the new context along with the request. The userKey type (an empty struct) prevents collisions with keys from other packages.

Reading Values in a Handler

Reading values from context
func currentUser(req *http.Request) (User, bool) {
    u, ok := req.Context().Value(userKey{}).(User)
    return u, ok
}

req.Context().Value(userKey{}) retrieves the stored value. The type assertion ensures the value is of type User — if it's missing or has the wrong type, false is returned.

Request Cancellation

A Cancellable Context

The request context is cancelled automatically when the client disconnects. Every operation that accepts a context — database, HTTP client, channel select — stops along with it:

Respect context cancellation
func handleSlow(w http.ResponseWriter, req *http.Request) {
    ctx := req.Context()
 
    select {
    case result := <-compute(ctx):
        writeJSON(w, http.StatusOK, result)
    case <-ctx.Done():
        return
    }
}

<-ctx.Done() tells the goroutine that the request is no longer relevant. The handler returns immediately without writing a response — saving wasted work.

middleware.Timeout

Per-Request Time Limit

Don't let a handler run forever:

Built-in chi timeout
r.Use(middleware.Timeout(5 * time.Second))

middleware.Timeout(5 * time.Second) wraps the handler with a context that is cancelled after 5 seconds. Handlers that exceed the limit stop at the next ctx.Done() checkpoint, and a default response is sent.

Combining with Context

The timeout middleware works because it injects a time-limited context into the request. That's why handlers must forward req.Context() to every operation — if the context is ignored, the timeout will never fire.

Goroutines in Handlers

Running Tasks in Parallel

Heavy workloads can be split across goroutines to speed up responses:

Goroutines in a handler
r.Get("/dashboard", func(w http.ResponseWriter, req *http.Request) {
    ctx := req.Context()
 
    userCh := make(chan User)
    statCh := make(chan Stats)
 
    go func() {
        userCh <- userRepo.FindByID(ctx, userID)
    }()
    go func() {
        statCh <- statsRepo.Load(ctx)
    }()
 
    user := <-userCh
    stats := <-statCh
 
    writeJSON(w, http.StatusOK, map[string]any{
        "user":  user,
        "stats": stats,
    })
})

Both queries run in parallel in goroutines, so total time is only as long as the slowest query, not the sum of both. <-userCh waits for the result from each channel.

Golden Rules of Goroutines

  • Always pass the context into goroutines so they can be cancelled.
  • Never write to http.ResponseWriter from another goroutine.
  • Manage goroutines with channels or sync.WaitGroup.
  • Make sure every goroutine has an exit path — avoid leaks.

Throttle and Shared State

Limiting Concurrency

middleware.Throttle limits the number of concurrent requests:

Limit concurrency
r.Use(middleware.Throttle(50))

middleware.Throttle(50) rejects requests beyond 50 running concurrently — protecting the server from load spikes. For a queue with a buffer, use middleware.ThrottleBacklog.

Synchronizing Shared State

When several goroutines use the same data, protect it with a mutex:

Shared state with a mutex
type Counter struct {
    mu     sync.Mutex
    visits int
}
 
func (c *Counter) Inc() {
    c.mu.Lock()
    defer c.mu.Unlock()
    c.visits++
}

c.mu.Lock() ensures only one goroutine modifies visits at a time. Without a mutex, two concurrent requests could overwrite each other's values.

Conclusion

Key takeaways:

  • Context carries request-scoped values; use a struct key to avoid collisions.
  • Respect ctx.Done() for request cancellation from the client.
  • middleware.Timeout limits execution duration per request.
  • Goroutines speed up parallel handlers; always forward the context.
  • middleware.Throttle caps maximum concurrency.
  • Shared state must be protected with sync.Mutex.

In the next episode 13 we secure access: authentication and authorization — JWT with golang-jwt as middleware, built-in BasicAuth, session cookies and refresh tokens, RBAC middleware, and OAuth2 and OpenID Connect integration with Keycloak.

Learn Chi - Context, Timeout & Concurrency | Learn Chi