This book shows you how to turn an idea into a reliable product.
This is a playbook for practical progress. Choose what to ship now, what to delay, and how to avoid risky changes. Keep services tidy, naming clear, and tests small but useful. You will build a realistic end-to-end system step by step, following the evolution of a babysitting marketplace platform with sign-up, search, booking, messaging, and payments delivered in steady increments.
When it is time to add intelligence, you learn practical ways to use AI for customer support, recommendations, and operational insights. The focus stays on measurable value, not hype, while keeping performance, costs, and reliability predictable in production.
Your guides are Giunio De Luca, PhD, author of Packt’s FastAPI Cookbook and an architect who has shipped systems across research, sports, and energy, and Igor “Benav” Magalhães, founder of Benav Labs and maintainer of widely used open-source tools. They share patterns they rely on when deadlines are real and reliability matters.
By the end, you will not just know FastAPI. You will think like a senior engineer, plan delivery with confidence, avoid common traps, measure what matters, and run a backend platform that users trust and teams enjoy maintaining.

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Spis treści

Python Microservices with FastAPI. Design production-ready, AI-enabled microservices with Python eBook -- spis treści

• 1. Kickstarting the Platform: Project Setup and First FastAPI Endpoint
• 2. Creating the buyer portal: Endpoints, State and Cookies
• 3. Designing the Seller Portal: Clean Architecture and Middleware
• 4. Managing User Requests: Dependency Injection in Practice
• 5. Connecting Buyers and Sellers: Building Microservices
• 6. User Registration System: SQL Databases with SQLAlchemy
• 7. Managing the Car Catalogue: MongoDB and Document Databases
• 8. Scheduling Appointments: Authentication, OAuth2, and JWT
• 9. Handling Complaints: Asynchronous Tasks and WebSockets
• 10. Building a Customer Support Chatbot with Generative AI
• 11. Analytics Portal: Exploring Business Intelligence with AI
• 12. Optimizing for High Traffic: Performance, Profiling, and Production