FastAPI Backend Engineering : A Practical Python Guide to Building Production-Ready APIs, Microservices, and AI Backends
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 61.19
Quantity: 2 available
Add to basketItem description from seller
Neuware - Building a real backend can feel overwhelming when routes, databases, authentication, testing, deployment, and security all seem to arrive at once. FastAPI Backend Engineering turns that complexity into a clear, practical learning path you can follow one step at a time.Designed for readers who are new to FastAPI and professional backend development, this book does not expect previous experience with APIs, databases, microservices, or production deployment. Basic familiarity with Python is helpful, and every major concept is introduced gradually so you can build confidence without being buried in unnecessary complexity.Instead of teaching isolated snippets, you will develop a continuing Production Workspace API that grows with you throughout the book. Larger implementations are broken into manageable stages, with explanations that show not only what the code does, but why each piece belongs where it does.Inside, you will learn how to: - Build and structure modern FastAPI REST APIs- Validate requests and responses with Pydantic- Understand async/await, concurrency, dependency injection, and application lifecycle- Store real application data with PostgreSQL and SQLAlchemy- Manage schema changes safely with Alembic- Add secure authentication, JWT bearer tokens, roles, permissions, and authorization- Write meaningful tests with pytest and HTTPX- Handle errors, retries, background tasks, and reliable workflows- Add logging, observability, health checks, and performance controls- Package and deploy backend services with Docker and cloud infrastructure- Build APIs for machine-learning inference, LLM services, retrieval, and streaming- Understand when to use a modular monolith and when microservices make senseThe book keeps the learning process practical and encouraging. Mistakes are treated as a normal part of programming, troubleshooting is built into the journey, and every successful endpoint, database operation, passing test, and secure feature becomes a meaningful win.By the final chapters, you will have moved far beyond simply knowing FastAPI syntax. You will understand how professional backend systems are designed, connected, secured, tested, and prepared for production.If you want a friendly, structured path into Python backend development, API engineering, databases, authentication, cloud deployment, AI backends, and microservices, this book is built to guide you from the first working application to a complete production architecture.Start with the first endpoint, build one layer at a time, and begin your backend engineering journey today.…
Seller Inventory # 9798172020346
- Title
- FastAPI Backend Engineering : A Practical Python Guide to Building Production-Ready APIs, Microservices, and AI Backends
- Author
- Marcus C. Lauritsen
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798172020346
- Item weight
- 495 grams
- Dimensions
- 254x178x15 mm
Building a real backend can feel overwhelming when routes, databases, authentication, testing, deployment, and security all seem to arrive at once. FastAPI Backend Engineering turns that complexity into a clear, practical learning path you can follow one step at a time.
Designed for readers who are new to FastAPI and professional backend development, this book does not expect previous experience with APIs, databases, microservices, or production deployment. Basic familiarity with Python is helpful, and every major concept is introduced gradually so you can build confidence without being buried in unnecessary complexity.
Instead of teaching isolated snippets, you will develop a continuing Production Workspace API that grows with you throughout the book. Larger implementations are broken into manageable stages, with explanations that show not only what the code does, but why each piece belongs where it does.
Inside, you will learn how to:
-
Build and structure modern FastAPI REST APIs
-
Validate requests and responses with Pydantic
-
Understand async/await, concurrency, dependency injection, and application lifecycle
-
Store real application data with PostgreSQL and SQLAlchemy
-
Manage schema changes safely with Alembic
-
Add secure authentication, JWT bearer tokens, roles, permissions, and authorization
-
Write meaningful tests with pytest and HTTPX
-
Handle errors, retries, background tasks, and reliable workflows
-
Add logging, observability, health checks, and performance controls
-
Package and deploy backend services with Docker and cloud infrastructure
-
Build APIs for machine-learning inference, LLM services, retrieval, and streaming
-
Understand when to use a modular monolith and when microservices make sense
The book keeps the learning process practical and encouraging. Mistakes are treated as a normal part of programming, troubleshooting is built into the journey, and every successful endpoint, database operation, passing test, and secure feature becomes a meaningful win.
By the final chapters, you will have moved far beyond simply knowing FastAPI syntax. You will understand how professional backend systems are designed, connected, secured, tested, and prepared for production.
If you want a friendly, structured path into Python backend development, API engineering, databases, authentication, cloud deployment, AI backends, and microservices, this book is built to guide you from the first working application to a complete production architecture.
Start with the first endpoint, build one layer at a time, and begin your backend engineering journey today.
"Synopsis" may belong to another edition of this title.
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