Python API Development for Platform Tooling
Learn to build production-ready APIs for platform engineering using FastAPI.
Lab Overview
🛠Lab from the Platform Engineering Bootcamp. Used in Week 15. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/platform-engineering-bootcamp Parent course(s):
- Week 15: Python for Platform Engineering: Part 2 (slug: python-platform-engineering-part-2)
The real TaskFlow backend (the same FastAPI app from `github.com/TeKanAid-Subscription/taskflow`) runs alongside your work in this lab: the infrastructure-management task adds a live status endpoint that queries it, and the async-operations task streams its real health over a WebSocket.
This comprehensive lab teaches you to build production-ready APIs for platform engineering using FastAPI. You'll cover RESTful API design, authentication, async operations, and infrastructure management endpoints, including a genuine integration with the running TaskFlow backend.
You'll learn to:
- Master FastAPI framework for building high-performance APIs
- Design RESTful APIs for infrastructure management
- Implement JWT authentication and role-based access control
- Build CRUD operations for platform resources
- Handle asynchronous operations and background tasks
- Implement comprehensive API documentation with OpenAPI/Swagger
- Create production-ready platform automation APIs
Key Technologies:
- FastAPI - Modern Python web framework
- SQLAlchemy - Database ORM
- Pydantic - Data validation
- JWT - Authentication tokens
- pytest - Testing framework
What You'll Learn
Build a FastAPI application with CRUD endpoints and validate requests using Pydantic models
Implement JWT-based authentication and role-based access control to secure API routes
Create async background tasks and understand how FastAPI handles concurrent requests
Produce OpenAPI/Swagger documentation and prepare an API for production deployment
Prerequisites
Python programming basics
Understanding of REST API concepts
Basic database concepts
Technologies Covered
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