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 FeaturesStep-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
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
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 ContentsEngineering 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. 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 FeaturesStep-by-step FastAPI application developmentPractical REST API architecture and Pydantic validationAsync programming and concurrency explained clearlyPostgreSQL and SQLAlchemy 2.x integrationAuthentication, authorization, JWT, and API securityRedis caching, background workers, retries, and job queuesMicroservices and event-driven architectureTesting, logging, metrics, and distributed tracingPerformance tuning, Docker, scaling, and deploymentLLM, RAG, streaming, and AI agent backend patternsHands-on exercises and production checklistsWhat You Will LearnYou will learn how to: Structure maintainable FastAPI applicationsDesign reliable API contractsUse async I/O correctlyManage database sessions and transactionsSecure APIs with authentication and permissionsBuild reliable background workflowsDesign resilient microservicesTest APIs, databases, caches, and external servicesMonitor systems with logs, metrics, and tracingImprove performance and scalabilityDeploy production-ready FastAPI servicesBuild reliable AI, LLM, RAG, and agent backendsWho This Book Is ForThis 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 ContentsEngineering Production FastAPI ApplicationsDesigning Reliable API ContractsAsync I/O and PostgreSQL PersistenceAuthentication, Authorization, and API SecurityReliability, Caching, and Background ProcessingBuilding FastAPI MicroservicesTesting and Quality EngineeringObservability and Production DiagnosticsPerformance, Scalability, and Production DeploymentFastAPI for AI, LLM, RAG, and Agent BackendsIf 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798172281150
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. 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 FeaturesStep-by-step FastAPI application developmentPractical REST API architecture and Pydantic validationAsync programming and concurrency explained clearlyPostgreSQL and SQLAlchemy 2.x integrationAuthentication, authorization, JWT, and API securityRedis caching, background workers, retries, and job queuesMicroservices and event-driven architectureTesting, logging, metrics, and distributed tracingPerformance tuning, Docker, scaling, and deploymentLLM, RAG, streaming, and AI agent backend patternsHands-on exercises and production checklistsWhat You Will LearnYou will learn how to: Structure maintainable FastAPI applicationsDesign reliable API contractsUse async I/O correctlyManage database sessions and transactionsSecure APIs with authentication and permissionsBuild reliable background workflowsDesign resilient microservicesTest APIs, databases, caches, and external servicesMonitor systems with logs, metrics, and tracingImprove performance and scalabilityDeploy production-ready FastAPI servicesBuild reliable AI, LLM, RAG, and agent backendsWho This Book Is ForThis 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 ContentsEngineering Production FastAPI ApplicationsDesigning Reliable API ContractsAsync I/O and PostgreSQL PersistenceAuthentication, Authorization, and API SecurityReliability, Caching, and Background ProcessingBuilding FastAPI MicroservicesTesting and Quality EngineeringObservability and Production DiagnosticsPerformance, Scalability, and Production DeploymentFastAPI for AI, LLM, RAG, and Agent BackendsIf 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798172281150
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