O Reilly Mastering Api Architecture
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Mastering API Architecture
Author: James Gough
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-03-19
Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh. Learn API fundamentals and architectural patterns for building an API platform Use practical examples to understand how to design, build, and test API-based systems Deploy, operate, and configure key components of an API platform Use API gateways and service meshes appropriately, based on case studies Understand core security and common vulnerabilities in API architecture Secure data and APIs using threat modeling and technologies like OAuth2 and TLS Learn how to evolve existing systems toward API- and cloud-based architectures
Learning API Styles
Author: Lukasz Dynowski
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2025-07-11
An application programming interface (API) enables data exchange in systems such as web applications, microservices, and IoT devices. In this hands-on book, authors Lukasz Dynowski and Marcin Dulak show software developers and architects how to design and implement REST, GraphQL, gRPC, webhooks, WebSocket, messaging APIs, and more. This book looks at the most popular API styles from a network, application, and architecture perspective. You'll learn how to determine the appropriate type of API for your application use case and how to tackle design decisions along the way. You'll also learn the trade-offs between various APIs and acquire practical knowledge of how to implement them. Explore the origins and evolution of API styles Learn network protocols that various APIs use Understand the trade-offs of each API style Select an appropriate API style Learn how to implement, secure, and document the APIs
Hands-On APIs for AI and Data Science
Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. As you complete the chapters in the book, you'll be creating portfolio projects that teach you how to: Design APIs that data scientists and AIs love Develop APIs using Python and FastAPI Deploy APIs using multiple cloud providers Create data science projects such as visualizations and models using APIs as a data source Access APIs using generative AI and LLMs