Learnitweb

Author: Editorial Team

  • Simplifying Unit Tests with @InjectMocks in Mockito

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    1. Objective We want to test a business class (SomeBusinessImpl) that depends on another component (SomeDataService). Traditionally, we would manually create a mock and inject it into the business class. However, Mockito offers a more elegant way to handle this using the @Mock and @InjectMocks annotations. 2. Problem Statement Suppose we have the following scenario:…

  • Implementing Saga Pattern with Kafka and Spring Boot

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    1. Overview The Saga Pattern is a microservice architectural pattern for managing data consistency across multiple services in distributed transaction scenarios. Instead of using distributed transactions (which are difficult to scale), Saga breaks a transaction into a series of local transactions, where each service performs its operation and publishes an event to trigger the next…

  • Strong vs. Eventual Consistency

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    In the world of distributed systems, where data is replicated across multiple servers or nodes, ensuring that all copies of the data are consistent becomes a significant challenge. This challenge gives rise to different “consistency models,” which dictate how and when changes to data become visible across the system. Two of the most fundamental and…

  • Latency Vs Throughput

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    Understanding the concepts of latency and throughput is fundamental in various fields, including computer networking, software engineering, and system design. While often discussed together, they represent distinct aspects of system performance. This detailed tutorial will break down each concept, illustrate their differences, and explain how they relate to real-world scenarios. 1. Introduction to Latency and…

  • Caching Strategies

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    1. Introduction Cache management is a fundamental aspect of optimizing application performance, reducing latency, and decreasing load on primary data stores. Caching strategies dictate how data is stored, retrieved, and updated in a cache. Choosing the right strategy is crucial for efficiency and data consistency. This tutorial will provide a detailed explanation of several common…

  • Load balancing algorithms

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    1. Introduction Load balancing is a critical component in distributed systems, ensuring that incoming network traffic is efficiently distributed across a group of backend servers (or “server farm” or “server pool”). The goal is to maximize throughput, minimize response time, prevent overload of any single server, and ensure high availability. The choice of load balancing…

  • Understanding End-to-End Encryption (E2EE) in Applications like WhatsApp

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    1. What is End-to-End Encryption? End-to-end encryption ensures that only the sender and the intended recipient can read the messages. No one in between, not even the service provider (like WhatsApp), can decipher the conversation. This is achieved by encrypting the message on the sender’s device and decrypting it only on the recipient’s device. 2.…

  • ACID Properties vs. BASE Properties

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    In the realm of database management systems, particularly concerning transactions and ensuring data integrity, two contrasting sets of principles have emerged: ACID and BASE. These acronyms represent fundamental design philosophies for how databases handle concurrent operations and maintain consistency, especially in distributed environments. 1. ACID Properties (Atomicity, Consistency, Isolation, Durability) The ACID properties are a…

  • Creating a Custom Validator (Annotation) in Spring Boot

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    In Spring Boot applications, you can use custom validation annotations when the built-in validation annotations (like @NotNull, @Size, @Email, etc.) are not sufficient for your business logic. This tutorial explains how to create a custom annotation and validator step by step. 1. Use Case Example Suppose you have a User Registration API and you want…

  • Failover mechanisms

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    1. Introduction In distributed systems and microservices architectures, failover mechanisms are critical for ensuring high availability, fault tolerance, and minimal downtime. This tutorial explains two common failover strategies: Active-Active and Active-Passive. 2. What is Failover? Failover refers to the process of automatically transferring workloads to a backup system when the primary system fails. The goal…