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Asynq

Asynq — Go task queue library backed by Redis, inspired by Sidekiq.

QueueModerate

Stack Components

LibraryAsynq 0.x
BackendRedis

Why

Go-native, Redis-backed, retries, scheduling, web UI, type-safe. Kafka processes 7 trillion+ messages/day at LinkedIn.

Redis Streams and BullMQ offer simpler queueing for Node.js apps, handling 100k+ jobs/sec on a single instance.

When

Use for Go background jobs. Avoid for non-Go projects.

How

1. go get github.com/hibiken/asynq 2. Define task type 3. Enqueue tasks 4. Start server with handler

Example

client := asynq.NewClient(redisOpt) task := asynq.NewTask("email:welcome", payload) client.Enqueue(task) // Asynq — usage example import { Asynq } from "queue2-asynq"; const result = await asynq({ input: "data" }); console.log(result);

Common Problems

  • ⚠Redis downtime — use Sentinel/Cluster
  • ⚠Task payload size — keep under 1KB
  • ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

  • ✓Use asynqmon for monitoring
  • ✓Set max_retry and timeout per task
  • ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Asynq and what projects is it for?

Asynq — Go task queue library backed by Redis, inspired by Sidekiq. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Asynq in 10 minutes?

Two steps: (1) go get github.com/hibiken/asynq; (2) Define task type. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Asynq and how do I avoid it?

The most common pitfall is: Redis downtime — use Sentinel/Cluster. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Asynq?

Best practices for Asynq include: Use asynqmon for monitoring; Set max_retry and timeout per task; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use asynqmon for monitoring" — should be set up at project init to avoid costly rework later.

When should I NOT choose Asynq?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Asynq shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.