SKU/Artículo: AMZ-B0GGDSJRNQ
FastAPI in Production : Build High-Performance APIs for AI, Cloud, and Modern Backend Systems
Format:
Kindle
Detalles del producto
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Fuera de stock
Fuera de stock
Peso con empaque:
0.76 kg
0.76 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Modern backend systems demand more than clean code and working endpoints. They demand predictable performance, strong security boundaries, observability by default, and the ability to survive real-world failure. FastAPI in Production is written for engineers who already know FastAPI—and now need to operate it confidently at scale.This book is not an introduction. It is a production playbook.You will learn how to design FastAPI as a control plane for modern systems: AI backends, cloud-native APIs, data platforms, and high-throughput services. Every chapter is hands-on, infrastructure-aware, and grounded in operational reality. The focus is not on features, but on behavior under load, failure, and change.You will build production-ready FastAPI systems that:Scale predictably with async execution and controlled concurrencyEnforce strict API contracts using Pydantic v2 and versioned schemasManage databases, connection pools, and transactions safely at scaleServe AI inference, embeddings, and streaming responses with hard budgetsIsolate durable background work from request pathsApply real authentication, authorization, rate limiting, and abuse preventionExpose meaningful logs, metrics, and traces with OpenTelemetryDeploy immutably using containers and promote safely across environmentsSurvive load spikes, dependency failures, restarts, and bad deploymentsA full end-to-end capstone project guides you through building, securing, observing, load-testing, and deploying a complete FastAPI-based AI API platform—the same way it would be done by a mature production team. You will not only make the system work; you will prove it works through load tests, failure drills, and production readiness checklists.The appendices provide operator-grade references you will return to long after reading:Production command and configuration cheat sheetsPerformance and load-testing toolkitsSecurity and hardening checklistsTroubleshooting and failure runbooksA 2026-ready roadmap for scaling FastAPI and AI systemsThis book is written for:Backend and platform engineers running FastAPI in productionAI engineers building inference and RAG APIsDevOps and SREs responsible for reliability and scaleTechnical leads designing long-lived API platformsIf you want to understand why FastAPI behaves the way it does under pressure—and how to design systems that remain stable when everything goes wrong—this book is for you.Build less guesswork. Ship with confidence. Operate FastAPI like a production system.
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