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VMVedant Manjrekarvedant-manjrekar.hashnode.devJul 19 · 9 min read

Building the Backend Was Easy. Deploying It Changed How I Think About Systems.

There's a moment in almost every side project where you lean back, stare at a terminal full of passing tests, and think: "Cool. Now I just have to deploy it." I hit that moment a few weeks ago. And

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KKoladekoladefaj.hashnode.devJun 22 · 11 min read

Running Async Python Inside Celery Is Harder Than You Think

The problem is straightforward to state and surprisingly hard to solve correctly. Celery workers are synchronous. Celery spawns prefork worker processes, and when a task arrives, it calls your task fu

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SUshafiu usmansumyelwa.hashnode.devJun 20 · 6 min read

Lessons Learned While Building a Production Deployment Pipeline

When people think about DevOps, they usually imagine Docker, Kubernetes, cloud servers, and CI/CD pipelines. What they don't see are the countless hours spent debugging, validating deployments, tracin

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MSMD Shahab Uddinspydi16.hashnode.devJun 14 · 9 min read

Celery in Django: The Complete Beginner to Intermediate Guide 🚀 -------------------------------------------

INTRODUCTION: When I first started learning Django, I kept hearing people say: "Use Celery for background tasks." But nobody explained: What exactly is a background task? Why do we need Celery? Wha

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SUshafiu usmansumyelwa.hashnode.devJun 12 · 6 min read

Managing Background Tasks in Django Using Celery and Redis

Part 7 of the AfiyaVest DevOps Deployment Series Modern web applications are expected to respond instantly, even when they're performing time-consuming operations behind the scenes. Tasks such as sen

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ARAbhishek Rajputragsystemabhishekrajput.hashnode.devJun 9 · 13 min read

Building a Production-Grade RAG System: Architecture, Trade-offs, and Lessons Learned

Why Most RAG Demos Fail in Production You've seen the 50-line RAG demo. Load a PDF, embed it, ask a question, get an answer. It works in a notebook. It falls apart the moment you add real users, large

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SUshafiu usmansumyelwa.hashnode.devJun 8 · 6 min read

Implementing Docker Health Checks for Django, Celery, and Nginx in Production

Part 3 of the AfiyaVest DevOps Deployment Series One of the biggest mistakes teams make when deploying applications with Docker is assuming that a running container means a healthy application. It doe

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SUshafiu usmansumyelwa.hashnode.devJun 6 · 5 min read

How I Built a Fully Automated CI/CD Pipeline for Django on a VPS

Introduction Part 2 of the AfiyaVest DevOps Deployment Series One of the biggest challenges in managing production applications is ensuring deployments are fast, reliable, and repeatable. Manual deplo

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SUshafiu usmansumyelwa.hashnode.devJun 4 · 4 min read

Building a Production-Ready Django Deployment Pipeline with Docker and GitHub Actions

Introduction Part 1 of the AfiyaVest DevOps Deployment Series Deploying a Django application to production is much more than running docker compose up. A production deployment should be reliable, repe

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KKoladekoladefaj.hashnode.devJun 1 · 9 min read

Celery loses 8% of your tasks by default. Here's the reliability layer I built to fix that.

Celery is one of the most widely deployed task queue systems in Python. It is also, by default, a system that silently loses approximately 8% of your tasks the moment a worker crashes. This is not a b

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#celery

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#celery

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Trending tags this week

Building the Backend Was Easy. Deploying It Changed How I Think About Systems.

Running Async Python Inside Celery Is Harder Than You Think

Lessons Learned While Building a Production Deployment Pipeline

Celery in Django: The Complete Beginner to Intermediate Guide 🚀 -------------------------------------------

Managing Background Tasks in Django Using Celery and Redis

Building a Production-Grade RAG System: Architecture, Trade-offs, and Lessons Learned

Implementing Docker Health Checks for Django, Celery, and Nginx in Production

How I Built a Fully Automated CI/CD Pipeline for Django on a VPS

Building a Production-Ready Django Deployment Pipeline with Docker and GitHub Actions

Celery loses 8% of your tasks by default. Here's the reliability layer I built to fix that.