Summary  
This chapter introduces using Redis for caching in server applications to improve performance by checking for data in cache, handling cache hits and misses, and storing retrieved results for future requests.

General domain of usage  
REST API development

We'll explore how **Redis** is used for **caching** and why it’s such a popular choice. For testing and development, we'll use **Spring Boot** as the server framework.

1. When a **user** sends a **request**, the **server** first checks if the required **data** is in the **cache** (**Redis**);

2. If the **data** is in the cache (**cache hit**), it is immediately **returned** to the user;

3. If the data is not in the cache (**cache miss**), the **server retrieves** it from the **database**;

4. The retrieved data is then **stored** in the **cache** for **future use**;
5. Finally, the data is **returned** to the user.

# What’s next?

**In this section**, we'll build an application integrated with **Redis** to demonstrate how **caching** works. We'll create a simple **REST API** and **evaluate** its performance with **caching enabled**.

**Caching** not only improves **response times** for users but also reduces **database load**, making the application more **scalable**.

Learn how to implement and configure caching in Spring Boot applications using Redis. Explore Redis integration, Spring caching annotations, and practical strategies for managing cache and improving application performance in backend systems.

Introduction to Caching

How does caching work?

What’s next?