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I Built a Production-Ready Job Queue in Go from Scratch

Description and use

Built a production-ready job queue in Go using Postgres, featuring retries, rate limiting, and graceful shutdown.

Problem

Develop a background job queue that handles retries, rate limiting, and graceful shutdown without relying on external services like Redis.

Outcome

A production-ready job queue that eliminates the need for Redis, demonstrates ACID compliance, and showcases Go concurrency best practices.

Workflow

  • 1. Client POST /jobs to Gin API
  • 2. API writes job to Postgres jobs table
  • 3. Worker pool (5 goroutines) fetches pending jobs using FOR UPDATE SKIP LOCKED
  • 4. Worker processes job and updates status
  • 5. On failure, retry with exponential backoff or mark as failed after max attempts
  • 6. Graceful shutdown via context cancellation

Evidence

A REST API where you POST a task, it goes to Postgres, and Go workers process it in background with retries, rate limiting and graceful shutdown.

Source

Postgres as queue (no Redis needed)

Source

Worker Pool with 5 Goroutines

Source

Retry with exponential backoff

Source

  • Record date: 2026-10-01T12:55:48.689Z