background job processing for Django apps, parallel execution for AI agent simulations, human-in-the-loop handoff flows
It's a powerful but specialized tool for developers needing to run Python tasks in the background or in parallel.
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I at first was enamored by the relative simplicity of getting a job queue going, but it traps you into celery... it’s annoying when all the different systems have to pepper celery as a layer of your understanding.
Hacker News • HackerNews • Use case: job queue for distributed systems
We’ve had a lot of pain with celery and Redis over the years.
Hacker News • HackerNews • Use case: distributed task queue
Parallel execution via Celery.
Hacker News • HackerNews • Use case: Parallel execution for running AI agent simulations.
Tech stack: Django 5.x, PostgreSQL, Redis, Celery for async tasks, SvelteKit + Tailwind CSS frontend.
Hacker News • HackerNews • Use case: Handling asynchronous tasks
Klaviyo doubled down on making the tools work for us... and arrived at some pretty nice solutions.
Hacker News • HackerNews • Use case: Distributed task queue framework (RabbitMQ Celery stack)
Great for background processing.
Hacker News • HackerNews • Use case: Background task processing
Shipped Django Python + Celery Redis in production for an auditable human-in-the-loop handoff flow.
Hacker News • HackerNews • Use case: Task queue with Redis for background job processing
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