Machine Learning for HPC Workflows

An operator to manage celery clusters on Kubernetes (Work in Progress)

A Flask Boilerplate to quickly get started with production-grade flask application. It has some additional packages pre-configured for ease of development.

언제 어디서든, 내 손 안의 간편한 날씨☀️🌈

An example of running multiple celery with each other consecutively

How To Mock Celery Tasks With Pytest (Step-by-Step Guide with Examples)

This is a flask application through which you can hit rest api's that allow you to create and add tasks in queue that executes and returns result asynhronously.The application is run on a uWSGI server and requests are routed through an nginx reverse-proxy. Docker is used to containerise each service and they are managed with docker compose

Web Scraper application using Django. Selenium is used to scrap the website. Scraping is done asynchronously using celery, celery-beat at a particular time intervals. Redis is used as a message broker.

The Celery connector for QueueKit.com

This is FastApi app to generate thumbnail images using celery. You may replace thumbnail generator task with other long running process.

This is a simple celery basics python app for rabbitmq and redis queuing

Celery on Kubernetes

The Track and Trace page enables end users (receiver of a shipment) to monitor the status of their shipment.