
Mercurius for Fastify (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Mercurius for Fastify" "Mercurius for Fastify" offers a definitive and contemporary guide to building high-performance, scalable GraphQL APIs on Node.js using the Fastify framework and Mercurius adapter. The book opens with a deep dive into Fastify's efficient, event-driven architecture, setting the stage for comprehensive explorations of GraphQL's protocols and the motivations behind Mercurius' evolution. Readers are guided from initial installation and environment bootstrapping to hands-on development, leveraging a modular plugin system and crafting robust "Hello World" GraphQL endpoints. M...
"Mercurius for Fastify"
"Mercurius for Fastify" offers a definitive and contemporary guide to building high-performance, scalable GraphQL APIs on Node.js using the Fastify framework and Mercurius adapter. The book opens with a deep dive into Fastify's efficient, event-driven architecture, setting the stage for comprehensive explorations of GraphQL's protocols and the motivations behind Mercurius' evolution. Readers are guided from initial installation and environment bootstrapping to hands-on development, leveraging a modular plugin system and crafting robust "Hello World" GraphQL endpoints.
Moving beyond the fundamentals, this book meticulously covers advanced schema design, real-time subscriptions, federation strategies, and the nuances of resolver implementation. Chapters address practical integration with ORMs, batching and caching, federated schemas, and security best practices-including authentication, authorization, and API hardening. Special focus is given to scaling real-time experiences through subscriptions, Pub/Sub integrations, resource management, and secure WebSocket communication, equipping engineers with real-world tools for reliability under load.
With in-depth chapters on testing, optimization, deployment, and cloud-native strategies, "Mercurius for Fastify" empowers teams to deploy and evolve APIs with confidence. Readers will find actionable guidance for continuous integration, scalable containerization, serverless deployment, and cost management. Enhanced by case studies, architectural patterns, and contributions from the open-source community, this book is an indispensable resource for professionals seeking to deliver enterprise-grade GraphQL APIs at scale with Fastify and Mercurius.
"Mercurius for Fastify" offers a definitive and contemporary guide to building high-performance, scalable GraphQL APIs on Node.js using the Fastify framework and Mercurius adapter. The book opens with a deep dive into Fastify's efficient, event-driven architecture, setting the stage for comprehensive explorations of GraphQL's protocols and the motivations behind Mercurius' evolution. Readers are guided from initial installation and environment bootstrapping to hands-on development, leveraging a modular plugin system and crafting robust "Hello World" GraphQL endpoints.
Moving beyond the fundamentals, this book meticulously covers advanced schema design, real-time subscriptions, federation strategies, and the nuances of resolver implementation. Chapters address practical integration with ORMs, batching and caching, federated schemas, and security best practices-including authentication, authorization, and API hardening. Special focus is given to scaling real-time experiences through subscriptions, Pub/Sub integrations, resource management, and secure WebSocket communication, equipping engineers with real-world tools for reliability under load.
With in-depth chapters on testing, optimization, deployment, and cloud-native strategies, "Mercurius for Fastify" empowers teams to deploy and evolve APIs with confidence. Readers will find actionable guidance for continuous integration, scalable containerization, serverless deployment, and cost management. Enhanced by case studies, architectural patterns, and contributions from the open-source community, this book is an indispensable resource for professionals seeking to deliver enterprise-grade GraphQL APIs at scale with Fastify and Mercurius.
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