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Redis Stack for Application Modernization

Redis Stack for Application Modernization

By : Luigi Fugaro, Ortensi
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Redis Stack for Application Modernization

Redis Stack for Application Modernization

5 (2)
By: Luigi Fugaro, Ortensi

Overview of this book

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.
Table of Contents (18 chapters)
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1
Part 1: Introduction to Redis Stack
6
Part 2: Data Modeling
11
Part 3: From Development to Production

Preface

Redis Stack for Application Modernization is written by industry experts from Redis, making this an insightful reference for database administrators and developers, with best practices to administer and manage the server, scalability, high availability, data integrity, stored functions, and more.

Modern applications require efficient operational and analytical capabilities and must ensure predictable performance regardless of the workload. Redis is a de facto standard caching system, with real-time response and flexible data types that fulfill all the different data modeling requirements. This book introduces you to Redis Stack, an extension of Redis presented in 2022, and it guides you through the multiple data modeling capabilities, together with examples to perform real-time queries and searches. Redis Stack represents a new approach to providing a rich data modeling experience all within the same database server.

You will learn how to model and search your data in the JSON and hash data types and work with features such as vector search, which adds semantic search capabilities to your application (for example, to search for similar texts, images, or audio files). You will understand how to use the probabilistic Bloom filters to resolve efficiently recurrent big data problems. Next, we dive into the strengths of Redis Stack as a data platform, show use cases to manage database events, and introduce stream processing features. Scenarios to use Redis Stack in microservices architectures complete the picture.

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