iClinic Teste SRE Arquiteto
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Updated
Jun 23, 2023 - Python
iClinic Teste SRE Arquiteto
background jobs in flask using celery, sqs and postgresql
Testing Pub-Sub Implementations through Observer Pattern
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
Automated testing using pytest and performance testing using locust and django-silk .
YTFS based webapp for online streaming and downloading youtube videos
A Platform designed to track different products on the biggest Ecommerce in MENA region
My playground for Celery trials
This repository contains a Telegram chatbot that leverages OpenAI's GPT-3 and Celery for task queue management. The chatbot can respond to messages, store the last 10 conversations for each user, and efficiently process messages using Celery. A great starting point for building your own AI-powered Telegram chatbot.
API for to-do-list service
This project is to create a service that could run and manage a task/script at a specific time.
User can transfer balance now or later in bulk. After every successful transfer a transaction history will be created for both the accounts. Cash transaction(withdrawal or deposit) option is also available. In case of transfer failure no transaction history will be created and source account's balance will be adjusted.
A containerized framework for asynchronous and/or distributed tasks with Celery, RabbitMQ, Reddis, and Python.
How To Mock Celery Tasks With Pytest (Step-by-Step Guide with Examples)
Simple Flask App with SQL Alchemy on SQLite3 as backend. Testing Celery+Redis.
Dynamically update periodic tasks in Celery
api for marketplace
crm system
It is kubernetes microservice that ingests Steam data, deployed as a service using sQLite for storing processes followed by an event driven message queue controlled by RabbitMQ. This message queue is also deployed as a service with an interconnection with celery workers integrated with Elasticsearch and Redis for caching and ingestion.
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