In this tutorial, we will extend our existing Spring Boot application to integrate caching using Redisson. The goal is to create a clean architecture that separates caching logic from the service layer using a template method design pattern, so we can reuse caching logic across different entities. We will also demonstrate performance testing using Gatling,…

In this tutorial, we will create a simple Spring Boot application to manage products, store data in PostgreSQL using R2DBC, and verify performance using Gatling. This approach is suitable for real-world applications where you want reactive programming and performance insights. 1. Project Setup 2. Database Setup: PostgreSQL with Docker We will run PostgreSQL in a…

Caching is essential for improving application performance and reducing load on external resources. Spring Boot provides several annotations to manage caching in a flexible manner. 1. Understanding the Core Annotations 1.1 @Cacheable Key points: 1.2 @CacheEvict Notes: 1.3 @CachePut Use case: 2. Practical Example: Weather Service with Scheduled Cache Updates 2.1 Use Case 2.2 Service…

In previous lectures, we implemented Redis caching for a Fibonacci service using the @Cacheable annotation. While caching improves performance, it introduces the need for cache management strategies, including eviction and scheduled clearing. This tutorial explains these concepts in detail. 1. Why Cache Eviction is Important When you use @Cacheable: Scenarios where eviction is necessary: 2.…

In this tutorial, we will enhance the Fibonacci Service built earlier by adding Redis caching. This allows us to store previously calculated Fibonacci numbers and avoid recalculating them, significantly improving performance for repeated requests. 1. Why Use Caching? In computationally heavy operations like Fibonacci calculations: 2. Project Setup We assume the Spring Boot project already…

In this tutorial, we will build a simple Fibonacci service using Spring Boot. The service calculates Fibonacci numbers based on the index provided by the user. This example is intentionally designed using a recursive algorithm to demonstrate performance challenges and the need for optimization later (e.g., caching). 1. Understanding Fibonacci Sequence The Fibonacci sequence is…

In this tutorial, we will explore how to integrate Redis with a Spring Boot application to improve performance and reduce response time for read-heavy workloads. 1. Why Use Redis in Your Application Redis is primarily used to cache data and reduce redundant computations. Here are the key reasons: 2. The Cache-Aside Pattern The cache-aside pattern…

In this tutorial, we will explore how to test the performance of Redis using Spring Boot. We will compare Spring Data Redis (reactive) and native Redis clients to see the differences in execution speed for a large number of operations. 1. Project Setup Before starting, ensure your project has the necessary dependencies: Dependencies Add these…

In this section, we will learn how to integrate Spring Boot with Redis, and implement caching to improve application performance. 1. Why Caching? Caching is used to store the results of expensive operations temporarily so that repeated requests can be served quickly. This is especially useful when your application: By caching results: However, caching introduces…

In this lecture, we will learn about Redis Sorted Sets (SSet), a powerful data structure that combines the characteristics of a set and a sorted list. Sorted sets allow you to store unique items along with a score, and automatically maintain them in ascending order of scores. 1. Overview of Sorted Sets Sorted Sets are…