django
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Run many iterations of Django across Docker Compose or Raspberry Pis to handle large amounts of time series data.
Topics:
✅ Python & Django
✅ Setup Django Project
✅ Integrate Self-Hosted TimescaleDB with Django
✅ Integrate Timescale.com Cloud with Django
✅ Use TimescaleDB with django-timescaledb
✅ Integrate Django & Celery
✅ Django Celery Task to Generate Fake Data
✅ Using a Beat Server to run tasks on a schedule (e.g. every 5 seconds)
✅ Learn how to use Celery Task Queues for Individual Worker Nodes
✅ Run multiple Django instances through Docker Compose to emulate a multi-node production environment
✅ Docker Compose Watch to Auto Refresh Django Container
✅ Multi-Node Django+Celery Running on Docker Compose
✅ Configure Raspberry Pi OS for local network connection
✅ Use Ansible to Configure Pi Cluster for Django
✅ Integrate Production TimescaleDB across Docker Compose, Raspberry PIs, and a local Django project.
✅ TimescaleDB Queries and API Responses
✅ Visualizing Data with TimescaleDB and Chart.js
✅ Customize Python Decouple for multiple dotenv Environment Variable files
💽 Code:
🕹️ Links:
- Blog Post for Dockerfile:
- django-timescaledb package:
If you like this course, consider:
- SaaS Foundations -- Learn about integrating Django with Stripe, User Permissions, GitHub Actions, and much more:
- Build Full Stack Web Apps in Pure Python with Reflex - A great challenge would be to use Reflex as a replacement for Next.js:
Thank you to Timescale for sponsoring this cours
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2024/07/10
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