Paperback. Learn the fastest database in existence - the one powering Twitter, GitHub, Stack Overflow, Pinterest, and Snapchat - and build AI-powered caching layers, real-time systems, and intelligent data pipelines on top of it, from scratch.Redis with AI takes you from your very first SET and GET command through data structures, persistence, pub/sub messaging, Redis Streams, replication, clustering, and cloud deployment - and then into integrating modern AI APIs to build intelligent recommendation engines, AI-powered session systems, and real-time data pipelines. Written for the 2026 ecosystem, every chapter is practical, current, and grounded in real production workloads.Redis keeps everything in memory, responds in under a millisecond, and handles over a million operations per second on commodity hardware. It is not just a cache - its rich data structures, built-in pub/sub, Sorted Sets for real-time leaderboards, Streams for event-driven architectures, and Redis Stack extensions make it the backbone of real-time applications. This book teaches you not just how to use Redis, but how to architect, scale, and make it intelligent.What you will learn: Understand the Redis data model - strings, lists, sets, sorted sets, hashes, and streamsImplement production-grade caching strategies: cache-aside, write-through, and cache invalidationUse key expiration, TTLs, persistence (RDB + AOF), and atomic transactionsBuild real-time pub/sub messaging systems and event-driven architectures with Redis StreamsImplement session management, rate limiting, and distributed locksConfigure Redis replication, high availability with Sentinel, and horizontal scaling with Redis ClusterDeploy Redis on AWS ElastiCache, Redis Cloud, and Upstash in the cloudIntegrate OpenAI and LLM APIs directly into Redis-backed applicationsUse Redis for AI response caching, semantic search, and vector embedding workflowsComplete five real-world projects: a high-performance caching layer, AI recommendation engine, real-time chat application, smart analytics dashboard, and an AI-assisted session and monitoring systemFour parts, zero filler: Part I builds your Redis foundation - data types, strings, lists, sets, sorted sets, hashes, streams, key expiration, persistence, transactions, pub/sub, caching strategies, security, and performance basics.Part II covers advanced topics including replication, high availability, Redis Cluster architecture, Streams, session management, real-time analytics, rate limiting, distributed locks, cloud environments, and microservices integration.Part III connects Redis to the AI era with practical chapters on LLM API integration, AI-assisted caching and query optimization, semantic search, vector database concepts, intelligent recommendation systems, AI-powered chat sessions, and real-time AI data pipelines.Part IV delivers five complete guided projects you build from start to finish.The book includes a Redis command quick reference, a configuration reference, a data structure decision guide, a common errors and fixes guide, a Redis Stack extensions reference, and a recommended learning path - six appendices covering everything you need.Whether you are building an API cache, a real-time leaderboard, a pub/sub notification system, a session store, or an AI-powered recommendation engine, Redis is the layer that makes it fast - and this book is your complete guide to mastering it.Perfect for: backend developers adding caching to web applications, engineers building real-time systems and event-driven architectures, full-stack developers working with Node.js, Python, or Go backends, and developers who want to use Redis Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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D�tails bibliographiques

Titre: Redis with AI (Paperback)
�diteur: Independently Published
Date de parution: 2026
Langue: anglais
ISBN � 13 chiffres: 9798180575654
Reliure: Paperback
�tat de l'article: new

A propos de ce titre

Synopsis

Learn the fastest database in existence — the one powering Twitter, GitHub, Stack Overflow, Pinterest, and Snapchat — and build AI-powered caching layers, real-time systems, and intelligent data pipelines on top of it, from scratch.

Redis with AI takes you from your very first SET and GET command through data structures, persistence, pub/sub messaging, Redis Streams, replication, clustering, and cloud deployment — and then into integrating modern AI APIs to build intelligent recommendation engines, AI-powered session systems, and real-time data pipelines. Written for the 2026 ecosystem, every chapter is practical, current, and grounded in real production workloads.

Redis keeps everything in memory, responds in under a millisecond, and handles over a million operations per second on commodity hardware. It is not just a cache — its rich data structures, built-in pub/sub, Sorted Sets for real-time leaderboards, Streams for event-driven architectures, and Redis Stack extensions make it the backbone of real-time applications. This book teaches you not just how to use Redis, but how to architect, scale, and make it intelligent.

What you will learn:

Understand the Redis data model — strings, lists, sets, sorted sets, hashes, and streams
Implement production-grade caching strategies: cache-aside, write-through, and cache invalidation
Use key expiration, TTLs, persistence (RDB + AOF), and atomic transactions
Build real-time pub/sub messaging systems and event-driven architectures with Redis Streams
Implement session management, rate limiting, and distributed locks
Configure Redis replication, high availability with Sentinel, and horizontal scaling with Redis Cluster
Deploy Redis on AWS ElastiCache, Redis Cloud, and Upstash in the cloud
Integrate OpenAI and LLM APIs directly into Redis-backed applications
Use Redis for AI response caching, semantic search, and vector embedding workflows
Complete five real-world projects: a high-performance caching layer, AI recommendation engine, real-time chat application, smart analytics dashboard, and an AI-assisted session and monitoring system

Four parts, zero filler:

Part I builds your Redis foundation — data types, strings, lists, sets, sorted sets, hashes, streams, key expiration, persistence, transactions, pub/sub, caching strategies, security, and performance basics.
Part II covers advanced topics including replication, high availability, Redis Cluster architecture, Streams, session management, real-time analytics, rate limiting, distributed locks, cloud environments, and microservices integration.
Part III connects Redis to the AI era with practical chapters on LLM API integration, AI-assisted caching and query optimization, semantic search, vector database concepts, intelligent recommendation systems, AI-powered chat sessions, and real-time AI data pipelines.
Part IV delivers five complete guided projects you build from start to finish.

The book includes a Redis command quick reference, a configuration reference, a data structure decision guide, a common errors and fixes guide, a Redis Stack extensions reference, and a recommended learning path — six appendices covering everything you need.

Whether you are building an API cache, a real-time leaderboard, a pub/sub notification system, a session store, or an AI-powered recommendation engine, Redis is the layer that makes it fast — and this book is your complete guide to mastering it.

Perfect for: backend developers adding caching to web applications, engineers building real-time systems and event-driven architectures, full-stack developers working with Node.js, Python, or Go backends, and developers who want to use Redis as the performance and AI layer in their data stack.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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