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I built a distributed job queue in Go to understand how they actually work

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I have used job queues my whole developer life without knowing what was inside them.



So I built one.



Not a wrapper around an existing queue. A full implementation from scratch

with Redis, PostgreSQL, goroutines, and real failure handling.



Here is everything I learned.









Why Dual Storage



Most job queues use one store. Redis is fast. PostgreSQL is durable. I wanted both.



Redis handles dispatch via a sorted set priority queue. Fast enqueue, fast dequeue.



PostgreSQL is the source of truth. Every job lives there permanently.



The rule: no critical state lives only in Redis. If Redis wipes completely,

no job is lost. PostgreSQL has everything.









Three Things Running Concurrently




  • A worker pool that executes jobs

  • A scheduler that promotes jobs from PostgreSQL into Redis when their time arrives

  • A stale reaper that detects crashed workers and requeues their jobs automatically



All three run as goroutines. All three coordinate without stepping on each other.









What Happens When a Worker Crashes



This is the part most tutorials skip.



When a worker picks up a job it marks it as in-progress. If that worker crashes

mid-execution the job stays marked in-progress forever unless something intervenes.



The stale reaper scans for jobs that have been in-progress longer than their timeout.

It requeues them automatically with exponential backoff.



No manual intervention. No lost jobs.









The Numbers




















Metric Result
Job registration 52ns/op, 0 allocations
Job execution 950ns/op


Benchmarked with Go's built-in benchmark tooling.



Ships with a Prometheus metrics endpoint and a pre-built Grafana dashboard

covering queue depth, throughput, and failure rates by job type.









What I Actually Understand Now




  • Why Redis alone is not enough for a job queue

  • Why crashed worker recovery needs to be a first class feature not an afterthought

  • Why exponential backoff matters more than immediate retries






The project is open source with one external contributor already.




  • GitHub: github.com/codetesla51/kyu

  • Landing page: kyu-job-queue.vercel.app






CODE


`


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