FastAPI Microservices Build Scalable Python APIs and Distributed Systems with FastAPI Unlock the power of FastAPI to design, develop, and deploy high-performance microservices for modern applications
In today’s fast-evolving software landscape, the ability to build scalable, efficient, and maintainable backend systems is paramount. FastAPI Microservices Architecture provides a comprehensive, hands-on guide for developers, architects, and engineers eager to master FastAPI—a cutting-edge Python web framework that combines speed, simplicity, and asynchronous programming to create powerful APIs.
This book takes you beyond the basics, offering deep insights into microservices design principles, asynchronous I/O, dependency injection, and data validation with Pydantic. You’ll learn how to architect distributed systems using FastAPI, manage inter-service communication with RabbitMQ and Kafka, secure your APIs with OAuth2 and JWT, and deploy containerized applications at scale with Kubernetes and Helm.
Why this book stands
Clear, practical tutorials grounded in real-world microservice patterns and best practices
Step-by-step instructions for containerization, CI/CD pipelines, and production-grade deployments
In-depth coverage of advanced topics including service mesh integration, observability with Prometheus and Jaeger, and fault-tolerant design
A detailed SaaS project case study that consolidates learning into an end-to-end scalable platform
Up-to-date content reflecting 2025 technologies and industry standards to future-proof your skills
About the Author Drake Duncan is a seasoned software architect and Python expert with extensive experience designing distributed systems and cloud-native applications. With a passion for teaching and a deep understanding of modern backend frameworks, Drake brings clarity and practicality to complex topics, empowering developers worldwide to build scalable and resilient microservices.
Harness the power of FastAPI's async capabilities and Pydantic models, combined with Docker, Kubernetes, and popular message brokers like RabbitMQ and Kafka. This book bridges cutting-edge Python development with cloud infrastructure, ensuring your applications perform reliably at scale.
While technology evolves rapidly, the principles and architecture patterns detailed here remain foundational. Whether you are starting fresh or upgrading legacy systems, this guide equips you with the tools and knowledge to build microservices that stand the test of time.