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Python Microservices with FastAPI. Build secure and scalable AI-enabled Python microservices, from application design to infrastructure
Giunio De Luca, Gianmarco Aversano
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E-BOOK
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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 a babysitting marketplace with sign-up, search, booking, messaging, and payments, while learning to navigate complex architectural systems with ease.
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 Gianmarco Aversano, an AI and machine learning specialist with a PhD and expertise in generative AI and data science. Together, 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.
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 a babysitting marketplace with sign-up, search, booking, messaging, and payments, while learning to navigate complex architectural systems with ease.
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 Gianmarco Aversano, an AI and machine learning specialist with a PhD and expertise in generative AI and data science. Together, 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.
- 1. Kickstarting the Platform: Project Setup and First FastAPI Endpoint
- 2. Creating the buyer portal: Endpoints, State and Cookies
- 3. Designing the Reservation System: Clean Architecture and Middleware
- 4. Dependency Injection in Practice
- 5. Connecting the Systems: Microservices Composition
- 6. Registration System: SQL Databases with SQLAlchemy
- 7. Building a Catalogue: Document Storage and Feature based Architecture
- 8. Securing the Services: Authentication and Authorizations
- 9. Building a RAG Customer Support Chatbot
- 10. Building a MCP server to share AI logic across the organisation
- 11. Analytics Portal: Exploring Business Intelligence with AI
- 12. Optimizing for High Traffic: Performance, Profiling, and Production
- Titel:Python Microservices with FastAPI. Build secure and scalable AI-enabled Python microservices, from application design to infrastructure
- Autor:Giunio De Luca, Gianmarco Aversano
- Originaler Titel:Python Microservices with FastAPI. Build secure and scalable AI-enabled Python microservices, from application design to infrastructure
- ISBN:9781835463390, 9781835463390
- Veröffentlichungsdatum:2027-03-17
- Format:E-Book - EPUB
- Artikel-ID: e_4q73
- Verleger: Packt Publishing
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