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Real-time chat applications are essential in modern web systems, enabling seamless communication between users. The Jakarta WebSocket API offers an elegant way to build such applications, leveraging Java’s robust capabilities. Combined with Open Liberty, a lightweight and flexible Java runtime, you can create high-performance chat apps efficiently. This article will walk you through building a real-time chat app using Jakarta WebSocket and Open Liberty, complete with code examples and a comprehensive explanation. Prerequisites Before diving into the implementation, ensure you ... Building a Real-Time Chat App Using Jakarta WebSocket and Open Liberty
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As organizations scale their digital operations, they encounter challenges with agility, scalability, and cost efficiency. Two architectural paradigms often discussed in this context are cloud-native architecture and monolithic architecture. While monolithic systems were the cornerstone of early software development, the emergence of cloud computing has elevated cloud-native approaches to the forefront of modern development. This article delves into the flexibility, scalability, and efficiency offered by cloud-native architecture compared to its monolithic counterpart, complete with coding examples and a comprehensive conclusion. ... Exploring the Flexibility, Scalability, and Efficiency of Cloud-Native Architecture Compared to Monolithic Architecture
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In modern web applications, achieving high performance is critical, especially as the number of users and requests grows. Traditional blocking I/O models can struggle under high load, leading to delays and scalability issues. Enter Spring Boot WebFlux and Reactive Relational Database Connectivity (R2DBC), two powerful technologies that allow developers to build truly reactive, non-blocking REST APIs that handle concurrency efficiently. In this article, we’ll dive into how to use Spring Boot WebFlux with R2DBC to build scalable and high-performance REST ... Using Java Spring Boot WebFlux with R2DBC to Build High-Performance and Reactive REST APIs with Non-Blocking Database Connections
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Log-Structured Merge Trees (LSM Trees) are a popular data structure choice for handling high-throughput write and read operations, especially in database systems. By organizing data in multiple levels of sorted files (also called tables) and optimizing write patterns, LSM Trees make it efficient to store, retrieve, and delete data with minimal write amplification. This article will walk you through implementing an LSM Tree from scratch in Golang, focusing on the essential components and functionalities. What is an LSM Tree? An ... Implementing LSM Trees in Golang
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As generative AI continues to evolve, its enterprise applications are expanding rapidly. From automating content generation to creating personalized customer experiences, generative AI holds transformative potential for businesses. However, building enterprise-grade generative AI solutions requires a well-thought-out approach that considers data security, scalability, customization, and compliance. This article explores the key steps and best practices in building robust generative AI solutions for enterprises. We’ll also dive into coding examples to illustrate some foundational techniques. Understanding the Business Value of Generative ... Building Enterprise-Grade Generative AI Solutions: A Comprehensive Guide with Code Examples
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Legacy systems, often critical for business continuity, pose challenges when adapting to new requirements and scaling for future growth. Domain-Driven Design (DDD) offers a structured approach to breaking down these monolithic architectures into more maintainable and scalable systems. By focusing on the core domain and applying strategic patterns, DDD can revitalize legacy systems, ensuring they remain relevant in an ever-evolving technological landscape. Understanding the Legacy System Challenge Legacy systems, typically monolithic, often suffer from a lack of modularity and separation ... Transforming Legacy Systems with Domain-Driven Design
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Debugging is an essential skill for developers across all levels of experience. The complexity of modern applications ranging from frontend interfaces to backend systems and low-level hardware—demands an array of advanced debugging techniques. Mastering these techniques can help developers more effectively identify, isolate, and resolve issues, leading to more reliable and maintainable code. This article covers a comprehensive range of advanced debugging techniques, including those relevant to frontend, backend, and system-level debugging. Coding examples are provided to help illustrate how ... Advanced Debugging Techniques: From Frontend Tools to System-Level Troubleshooting
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Java’s annotations and reflection capabilities are powerful tools that allow developers to create flexible, dynamic filtering systems. By combining these two features, developers can make filtering decisions at runtime based on metadata, providing a versatile approach that is adaptable across many applications, from data validation and access control to dynamic API filtering. This article will explore how to design such filtering systems, illustrating techniques and best practices, and providing coding examples along the way. Introduction to Java Annotations and Reflection ... Versatile Filtering Strategies Based on Java Annotations and Reflection
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In recent years, distributed databases and Kubernetes have risen as essential components of modern application architecture. Distributed databases provide high availability and scalability, while Kubernetes offers a robust platform for orchestrating containerized applications. Combining these technologies allows organizations to enhance the resilience, flexibility, and manageability of their data infrastructure. In this article, we’ll delve into the benefits of running distributed databases on Kubernetes, accompanied by coding examples to demonstrate how to deploy and manage distributed databases on a Kubernetes cluster. ... Exploring the Benefits of Running Distributed Databases on Kubernetes
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In recent years, artificial intelligence (AI) has transformed software development processes across industries. AI tools and platforms have emerged as powerful assistants for developers working on microservice-based applications. From the design stage to deployment, AI tools streamline workflows, reduce errors, and enhance overall efficiency. This article explores how AI tools assist developers in designing, developing, modifying, and delivering a microservice application, complete with practical code examples. Why Use AI in Microservices Development? Microservices architectures, in contrast to monolithic applications, break ... Using AI Tools to Help Design, Develop, Modify, and Deliver a Microservice Application
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Continuous Integration and Continuous Deployment (CI/CD) pipelines are essential for modern software development workflows, helping teams deliver high-quality code quickly and efficiently. GitHub Actions, an automation tool native to GitHub, enables developers to create custom CI/CD pipelines and automate many processes around their codebase. Optimizing these pipelines, however, can be a challenging yet rewarding endeavor. In this article, we will explore advanced techniques for optimizing CI/CD pipelines using GitHub Actions, complete with code examples to guide you through the process. ... Advanced Techniques to Optimize CI/CD Pipelines Using GitHub Actions
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When working with data in Java applications, understanding design patterns like the Repository and Data Access Object (DAO) is essential for creating maintainable, scalable, and testable code. Both patterns serve as intermediaries between the database and the application, but they follow different principles and are suited to different contexts. In this article, we’ll explore the fundamental differences between Repository and DAO patterns, provide practical Java examples for each, and discuss how and when to use them. What is the Data ... The Differences Between Repository and Data Access Object (DAO)