Artículo: AMZ-B0FNCQCRF4

Redis Modules in Depth: The Complete Guide for Developers and Engineers

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Disponibilidad
Sin stock
Peso con empaque
0.84 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • "Redis Modules in Depth" "Redis Modules in Depth" is the definitive guide for developers and architects seeking to unleash the full potential of Redis’s extensibility through its powerful module system. Beginning with a deep exploration of Redis core architecture, this book unpacks the constraints of native functionality and demonstrates how the module API brings unprecedented flexibility to in-memory data management. Readers are immersed in foundational concepts—covering everything from threading and memory management to security and advanced use cases—laying the groundwork for designing, building, and deploying sophisticated Redis modules. The heart of the book provides a hands-on, comprehensive dive into module API mechanics, guiding readers through module lifecycle management, custom command definitions, event hooks, persistence strategies, and inter-module communication in distributed Redis clusters. Practical coverage extends to designing efficient, robust, and secure modules: threading, memory safety, atomic operations, failover, cross-command context, error reporting, and integrating with external systems are all examined through best practices and real-world patterns. Special attention is given to security, sandboxing, auditing, and ensuring regulatory compliance in module development. Rounding out the guide, "Redis Modules in Depth" presents detailed architecture dissections of industry-leading modules like RediSearch, RedisGraph, and RedisAI, sharing implementation insights and reusable engineering patterns. A forward-looking final section surveys emerging trends such as serverless execution, WebAssembly integration, and evolving research opportunities. With pragmatic advice on testing, CI/CD, observability, and versioning, this book equips Redis professionals to craft secure, performant, and future-proof modules in today’s evolving data landscape.

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