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Set up Redis Queue for a Python Flask App

We're looking to speed up processing time of our web application by setting up a Redis Queue to handle a couple of time-consuming tasks asynchronously.

Most importantly, we need the RQ worker to pre-load certain large .bin files and keep them stored in memory at all times, for example in a global variable. This is what consumes the most time - loading these large files. So we would like to eliminate that.

Here is a summary of our infrastructure:

- dedicated server on 1&1 IONOS, running Debian 9 (4cpu/32GB/1TB)

- server is set up as a single-node Docker Swarm, using Portainer

- app is in Flask

- backend/API code is in Python 2.7

- frontend code is in HTML/CSS/JS (vanilla/jQuery)

- GitLab and GitLab Runner for CI/CD

- external MongoDB database

- Redis server installed

We're looking for someone who is familiar with the above infrastructure and could implement Redis Queue quickly, specifically on the server. You would advise our backend developer about how to integrate it with the Python code, and our frontend developer about how to integrate it with the JavaScript.

Here is a potentially helpful link: [login to view URL]

Thanks!

Skills: Python, Django, Linux, JavaScript, Software Architecture

See more: python

About the Employer:
( 0 reviews ) New York, United States

Project ID: #21705102

38 freelancers are bidding on average $7628 for this job

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