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Paperback FastAPI for High-Performance Python Backends: A Hands-On, Step-by-Step Guide to Building Secure Async APIs, Microservices, and AI Backends for Product Book

ISBN: B0HHZDM93B

ISBN13: 9798172281150

FastAPI for High-Performance Python Backends: A Hands-On, Step-by-Step Guide to Building Secure Async APIs, Microservices, and AI Backends for Product

Building a FastAPI endpoint is easy. Building a backend that stays secure, reliable, fast, and maintainable in production is much harder.

FastAPI for High-Performance Python Backends is a practical, step-by-step guide for developers who want to move beyond simple tutorials and learn how real production APIs are designed, tested, secured, scaled, and deployed.

You do not need previous FastAPI experience or experience running production systems. A basic knowledge of Python and familiarity with common web concepts are enough to begin. Complex topics are introduced gradually, with manageable code examples, clear explanations, practical exercises, and real-world engineering decisions.

Rather than overwhelming you with theory or massive code listings, this book helps you build confidence one concept at a time. Mistakes, failed tests, and incorrect assumptions are treated as part of the learning process, helping you understand how production systems actually behave.

Key Features

Step-by-step FastAPI application development

Practical REST API architecture and Pydantic validation

Async programming and concurrency explained clearly

PostgreSQL and SQLAlchemy 2.x integration

Authentication, authorization, JWT, and API security

Redis caching, background workers, retries, and job queues

Microservices and event-driven architecture

Testing, logging, metrics, and distributed tracing

Performance tuning, Docker, scaling, and deployment

LLM, RAG, streaming, and AI agent backend patterns

Hands-on exercises and production checklists

What You Will Learn

You will learn how to:

Structure maintainable FastAPI applications

Design reliable API contracts

Use async I/O correctly

Manage database sessions and transactions

Secure APIs with authentication and permissions

Build reliable background workflows

Design resilient microservices

Test APIs, databases, caches, and external services

Monitor systems with logs, metrics, and tracing

Improve performance and scalability

Deploy production-ready FastAPI services

Build reliable AI, LLM, RAG, and agent backends

Who This Book Is For

This book is ideal for Python developers, students, self-learners, and backend developers who know basic Python but are new to FastAPI or production backend engineering. No previous experience with FastAPI, microservices, observability, or production deployment is required.

Table of Contents

Engineering Production FastAPI Applications

Designing Reliable API Contracts

Async I/O and PostgreSQL Persistence

Authentication, Authorization, and API Security

Reliability, Caching, and Background Processing

Building FastAPI Microservices

Testing and Quality Engineering

Observability and Production Diagnostics

Performance, Scalability, and Production Deployment

FastAPI for AI, LLM, RAG, and Agent Backends

If you are ready to move beyond basic API examples and start building FastAPI systems that are secure, scalable, observable, and ready for real-world production, this book gives you a clear path forward.

Start building FastAPI backends you can trust in production.

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