Category: Microservice

Meltdown! How to Understand Complexities in Java Programming: First Look on the Navigating Challenges with Confidence

Table of Contents Introduction Java, one of the most popular programming languages, is known for its versatility and wide range of applications. However, as Java programs grow in size and complexity, developers often encounter various challenges that can hinder productivity and performance. In this article, we will explore some common complexities in Java programming and discuss strategies to overcome them....

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SOLID thing (Principles): A Guide to Empower Writing a Better Maintainable and High Extensible Code

Introduction: In the world of software development, writing code that is easy to understand, maintain, and extend is crucial. The SOLID principles offer a set of guidelines to achieve these goals. SOLID is an acronym for five principles: In this article, we will explore each of these principles and provide Java code examples to illustrate their application. 1. Single Responsibility...

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The 15-Factor Way of App: Overcome the First Challenge to Building Cloud-Native Applications

Table of Contents Introduction The 12 Factor App and the 15 Factors are both sets of principles for building cloud-native applications. The 12 Factor App was published in 2011, and the 15 Factor was published in 2017 and they are designed to make applications easier to deploy, scale, and maintain in the cloud. What are the 12 and 15 Factors?...

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15 Microservices Best Practices for Building Scalable Services – Part 3

In this last part of blog post we will continue exploring microservices best practices for building scalable services. Table Of Contents: Understanding Fault Tolerance Fault tolerance refers to the capability of a system to continue functioning correctly even in the presence of hardware or software failures. In essence, it involves building redundancy and fail-safe mechanisms into the system architecture. The...

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15 Microservices Best Practices for Building Scalable Services – Part 2

In this blog post we will continue exploring microservices best practices for building scalable services. Table Of Contents: Asynchronous Communication: Asynchronous communication is a communication pattern that allows different parts of a software system to interact without waiting for immediate responses. By decoupling components and enabling independent processing, asynchronous communication improves efficiency, responsiveness, and scalability. In this article, we will...

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15 Microservices Best Practices for Building Scalable Services – Part 1

Microservices architecture has gained significant popularity in recent years due to its ability to create scalable and maintainable software systems. By breaking down applications into smaller, independent services, organisations can achieve flexibility, resilience, and scalability. However, building scalable microservices requires careful planning and adherence to best practices. In this article, we will explore 15 essential best practices for building scalable...

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Building a Spring Reactive Web Application with Microservices for High Scalability and Resilience

In today’s fast-paced world, building web applications that can handle high traffic, provide fault tolerance, and scale horizontally is crucial. Microservices architecture, combined with reactive programming, can help achieve these goals. In this blog post, we will explore how to build a Spring Reactive web app using the microservice pattern and implement features like high scalability, fault tolerance, resilience, and...

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Building a Spring Boot Application for Efficient Data Processing with Spring Batch for Huge Data with Thread-Safe Parallel Processing

Processing large volumes of data efficiently is a common challenge in many applications. Spring Batch, a powerful framework for batch processing in Java, provides built-in features for handling such scenarios. In this article, we will explore how to leverage Spring Batch’s capabilities for processing huge data with thread-safe parallel processing. Introduction:Processing huge volumes of data efficiently is a common challenge...

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Top 10 Tricks for Improving API Performance Using Spring Boot

In this article, we will explore ten effective tricks for improving API performance using Spring Boot. By implementing these techniques, you can enhance the speed, scalability, and overall efficiency of your Spring Boot-based APIs. By applying these ten tricks, you can optimize the performance of your Spring Boot APIs, delivering faster response times, enhanced scalability, and an improved user experience....

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Optimize API Performance and Response Times: Strategies for Efficient Integration

API play a pivotal role in enabling seamless communication and integration between various software systems. However, the success of an API heavily relies on its performance and response times. Slow and unresponsive APIs can frustrate users, hinder productivity, and adversely impact user experience. This article delves into effective strategies and best practices to optimize API performance and ensure faster response...

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