Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and more

Key Features

• Model, index, and search data using JSON and vector data types
• Modernize your applications with vector similarity search, documents hybrid search, and more
• Configure a scalable, highly available, and secure server using RedisInsight

Book Description

In modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server.

You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture.

By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.

What you will learn

• Get started with data modeling using JSON and hash documents, vectors, and time series
• Implement microservices patterns and resolve typical use cases
• Use probabilistic data structures to analyze datasets and streams
• Integrate Redis Stack into your Java, Python, C#, Golang, and Node.js projects
• Develop powerful data flows using triggers and stream processing features
• Manage your database server for scalability, high availability, and security
• Visualize and manage your data with RedisInsight

Who this book is for

This book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book.

Table of Contents

Part 1: Introduction to Redis Stack

Chapter 1: Introducing Redis Stack

Chapter 2: Developing Modern Use Cases with Redis Stack

Chapter 3: Getting Started with Redis Stack

Chapter 4: Setting Up Client Libraries

Part 2: Data Modeling

Chapter 5: Redis Stack as a Document Store

Chapter 6: Redis Stack as a Vector Database

Chapter 7: Redis Stack as a Time Series Database

Chapter 8: Understanding Probabilistic Data Structures

Part 3: From Development to Production

Chapter 9: The Programmability of Redis Stack

Chapter 10: Redislnsight - the Data Management GUI

Chapter 11: Using Red is Stack as a Primary Database

Chapter 12: Managing Development and Production Environments

Review

“The book is full of great examples of the value that Redis Stack brings to modern applications and will get you both inspired and equipped to leverage Redis to its full potential!

From core data structure, JSON with indexing and high-performance search, to modern LLM and GenAI integration with vector embedding and vector search – it has many code samples but also highlights why it matters and key use cases such as GenAI augmented retrieval, recommendation engine, high performance user analytics, or faceted search for improved frontend scalability and experience.

Last chapters cover the fundamentals of what you need to know to deploy and use in dev but also in production with Redis Insight, Redis HA, cluster, Redis Enterprise or Redis Cloud!

Time well spent if you are new to Redis or if you are already using Redis for caching but are willing to get the best of it with Redis Stack!”

Alexandre Vasseur, Director, Solution Architects, EMEA at Redis

About the Authors

Luigi Fugaro's first encounter with computers was in the early 80s when he was a kid. He started with a Commodore Vic-20, passing through a Sinclair, a Commodore 64, and an Atari ST 1040, where he spent days and nights giving breath mints to Otis. In 1998, he started his career as a webmaster doing HTML, JavaScript, Applets, and some graphics with Paint Shop Pro. He then switched to Delphi, Visual Basic, and then started working on Java projects. He has been developing all kinds of web applications, dealing with backend and frontend frameworks. In 2012, he started working for Red Hat and is now an architect in the EMEA Middleware team. He has authored WildFly Cookbook and Mastering JBoss Enterprise Application Platform 7 by Packt Publishing.

Mirko Ortensi earned a degree in Electronic Engineering and a Master's degree in Software Engineering. Mirko's career has spanned several roles from Software Engineering to Customer Support, particularly centered around distributed database systems. As a Senior Technical Enablement Architect at Redis, Mirko shares technical knowledge about Redis's products and services.