You will get Debug and fix your failing Celery Redis background jobs

Let a pro handle the details

Buy Web Programming Bug Fixes services from Ashraf, priced and ready to go.

Let a pro handle the details

Buy Web Programming Bug Fixes services from Ashraf, priced and ready to go.

Project details

A task goes into the queue and never comes out. No error, no result, nothing in the logs. You've already read the Celery docs and asked an AI — you got five plausible causes and no way to tell which one is yours.

That's the gap I close. I trace it against your actual code, your broker state, and your worker logs, and tell you which of the five it actually is.

Common causes I find: acknowledgement mode losing messages when a worker dies mid-task, prefetch settings starving workers while the queue grows, exceptions caught and swallowed before the retry ever fires, and result backends silently dropping state.

Starter is diagnosis only — a written root-cause report with the evidence behind it, no code changes. Standard applies the fix with a sane retry and backoff policy. Advanced adds a dead-letter queue so exhausted jobs land somewhere you can inspect and replay, plus queue-depth metrics so you see a backlog before your users do.

I've built this exact reliability layer into my own async inference backend: batching, DLQ, circuit breaker, and Prometheus metrics under load testing.
Programming Languages
Python
Coding Expertise
Performance Optimization
What's included
Service Tiers Starter
$60
Standard
$150
Advanced
$300
Delivery Time 2 days 4 days 7 days
Number of Revisions
123
Bug Investigation
Fix Documentation
Detailed Code Comments
-
Optional add-ons You can add these on the next page.
Prometheus metrics for queue depth and task failures (+ 2 Days)
+$80
Circuit breaker so the API fails fast when workers are down (+ 2 Days)
+$70

Frequently asked questions

Ashraf A.Status: Offline

About Ashraf

Ashraf A.Status: Offline
Backend Development | Python, FastAPI, Go, APIs
Bengaluru, India - 9:08 am local time
I build and fix backend APIs — FastAPI, Go, Postgres, Redis, Celery. Async inference platform serving 231 req/s at 106ms with zero failures under 500 concurrent users. LSM-tree storage engine sustaining ~26,000 writes/sec.

My code runs in production infrastructure: 6 merged pull requests in CNCF etcd (48K stars) and Zalando Skipper (3.1K stars) — reviewed and merged by core maintainers.

Steps for completing your project

After purchasing the project, send requirements so Ashraf can start the project.

Delivery time starts when Ashraf receives requirements from you.

Ashraf works on your project following the steps below.

Revisions may occur after the delivery date.

Reproduce or trace the failure against your logs and broker state

Identify the root cause and write up the evidence for it

Review the work, release payment, and leave feedback to Ashraf.