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…

In this lecture, we will learn how to perform atomic transactions in Redis, using a reactive approach. Transactions help ensure that a series of operations either all succeed or all fail, which is crucial for scenarios like banking or balance transfers. 1. Problem Overview 2. Non-Transactional Example Setup: Simulated Error Scenario 3. Transactional Approach Step…

In this lecture, we will discuss how to efficiently perform high-volume data operations in Redis using batch processing. This approach reduces network overhead, improves performance, and allows you to handle large numbers of operations quickly. 1. Problem Overview 2. Basic Idea of Batch Operations 3. Setting Up the Batch 4. Adding Items to the Batch…

In this lecture, we will explore how subscribers can listen to multiple channels using pattern-based subscriptions instead of subscribing to exact topic names. This allows greater flexibility and selective listening in real-time messaging systems. 1. Exact Topic vs Pattern-Based Subscriptions Exact Topic Subscription: Pattern-Based Subscription: 2. Example Use Case This allows one subscriber to filter…

In this lecture, we will explore Pub/Sub messaging, its behavior, and how it differs from traditional message queues. We will also demonstrate a simple implementation with producers and subscribers. 1. Pub/Sub vs Message Queue Message Queue: Key Point: No duplicate processing occurs. If a message is taken by one consumer, it is not available to…