Django api deployment (python 3.11 supported)

This page summarizes the projects mentioned and recommended in the original post on /r/django

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • django-docker-quickstart

    Your all-in-one Django-Docker starter kit. Pre-configured services including PostgreSQL, Redis, Celery, with Nginx and Traefik for production. Streamlined development with included tools for testing and formatting.

  • You should pay for a cheap virtual machine, you can get one on DigitalOcean for about $5. This gives you a larger storage and quite a good amount of memory for a decent performance. On that machine, you can install Docker and use that to deploy your app. It should be fairly easy to deal with. Here's a sample GitHub project that shows how to set up nginx, postgres and other things you might need. https://github.com/godd0t/django-docker-quickstart

  • templates

    Railway starters (by railwayapp)

  • Connect your github to railway.app, update the database connection, deploy and call it a day

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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