a scaleable and efficient crawelr with docker cluster , crawl million pages in 2 hours with a single machine

Online Judge for hosting coding competitions inside NIT Durgapur made by GNU/Linux Users' Group!

Flask application development skeleton with docker-compose

Small box of pandora to prototype your app with ready for use backend. This is just my compilation of different solutions occasionally applied in hackathons and challenges

Small Flask app with scalable, asynchronous backend workers deployed on Kubernetes.

😎Asynchronous tasks in Python with Celery + RabbitMQ + Redis

A docker stack to create, test and benchmark a rabbitmq cluster in high availability configuration. HAProxy, php workers, node failures, network partition, persistent messages.

Example Docker setup for a Django app behind an Nginx proxy with Celery workers

Broccoli - distributed task queues for ESP32 cluster

Lets Map Your Network enables you to visualise your physical network in form of graph with zero manual error

Real-time monitor and web admin for Celery distributed task queue

🦀 Rust implementation of Celery for producing and consuming background tasks

Kombu is a messaging library for Python.

Celery Tasks Monitoring Tool

Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.

Want to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Includes Kombu message processors using native Producer and Consumer classes as well as ConsumerProducerMixin workers for relay publish-hook or caching

Django Celery Tutorial

This is a prototype to schedule jobs in the backend based on some priority using Rabbitmq and Celery.

Celery client for Node.js

gathers Python stack for DevOps, these are usually my basic templates use for my implementations, so, feel free to use it and evolve it! Everything is Docker!