Introduction to Caching

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.

How does caching work?

When a user sends a request, the server first checks if the required data is in the cache (Redis);
If the data is in the cache (cache hit), it is immediately returned to the user;
If the data is not in the cache (cache miss), the server retrieves it from the database;
The retrieved data is then stored in the cache for future use;
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.

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Sezione 5. Capitolo 1

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Contenuti del Corso

Introduction to Redis

1. Redis Fundamentals

What is Redis?Uses of Redis Installing Redis on Windows Installing Redis on MacOS Connecting to and Starting Redis

2. The Essential Redis Commands

SET Command GET Command EXISTS Command Challenge: Basic Commands INCR and DECR Commands Challenge: INCR and DECR Data Deletion

3. Data Types in Redis

String List Challenge: Task Management System Set Challenge: Managing User Interests Sorted Set Hash Table Challenge: Managing User Profiles

4. Advanced Features and Security

Managing Key Expiration Transactions PubSub Security RDB Persistence AOF Persistence

5. Caching with Redis and Spring Boot

Introduction to Caching Integration with Spring Boot Annotations for Working with Cache Practical Use of Hashes