Book Image

Redis Stack for Application Modernization

By : Luigi Fugaro, Mirko Ortensi
1 (1)
Book Image

Redis Stack for Application Modernization

1 (1)
By: Luigi Fugaro, Mirko 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)
1
Part 1: Introduction to Redis Stack
6
Part 2: Data Modeling
11
Part 3: From Development to Production

Using Redis Stack as a Primary Database

In the previous chapters, we have covered most of the topics that concern software architects and engineers at the time of mapping the business logic of an application to the concrete physical data model using Redis. As a professional used to working with relational databases or document stores, you have learned to make the most of Redis using the core data structures and discovered the features delivered in Redis Stack, such as enhanced searches and queries, and working with JSON documents. Modeling entities and relationships with the traditional Hashes or the standard JSON format together with the ability to create indexes on different fields of documents stored in such formats shifts Redis from the realm of caches to that of database management systems (DBMSs).

Redis has long been used as a cache, and the original design encouraged such use, offering real-time performance and a predictable footprint, with efficient expiration and eviction...