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Deployment & System Design Guide

Take your Python API from localhost to production on real cloud platforms (Render, Railway, Fly.io), set up managed databases (Supabase, Neon), Redis in the cloud (Upstash), a reverse proxy with Nginx, and master the fundamentals of System Design: monolith vs microservices, caching layers, message queues, scaling strategies, and API versioning. Guide #15 and the LAST one in the Backend Python Developer with FastAPI Path — the capstone that closes out the whole path.

56
lessons
7
modules
English · Spanish
available in
Yes
certificate
Free
access
NIEVA

Outcomes

What you'll be able to do

  • Cloud Platforms: Deploy on Render, Railway, Fly.io — from localhost to a public URL in minutes
  • Environment Management: Production vs staging vs development with secure secrets
  • Managed Databases: Supabase, Neon for PostgreSQL; connection pooling with PgBouncer
  • Redis Hosting: Upstash, Redis Cloud for caching and rate limiting in production
  • Reverse Proxy: Nginx as a reverse proxy, SSL termination, request routing
  • Load Balancing: Round-robin, least connections, health checks
  • Horizontal Scaling: Multiple instances, stateless sessions, shared state
  • Vertical Scaling: Resource optimization, right-sizing
  • System Design Fundamentals: Monolith vs microservices, database patterns, caching layers, message queues (Celery, RQ), rate limiting, API versioning
  • Security: HTTPS, firewalls, secrets management
  • Cost Optimization: Free tiers, resource monitoring, cost-effective architecture
  • Final Project: Deploy a production-ready E-commerce API + a System Design Document

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