Redis with AI: A Complete Beginner's Guide to Redis, Caching, Real-Time Systems, and AI-Powered Data Applications - Softcover

Inhaltsangabe

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.

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