Here is short info about post: In today’s fast-paced software development ecosystem, the ability to build reliable, maintainable, and scalable applications efficiently is paramount. Combining the power of Spring Boot, a production-ready Java framework, with the capabilities of large language models (LLMs) such as ChatGPT or GitHub Copilot, developers can significantly accelerate their development process while maintaining high standards in code quality and architecture. This article provides a comprehensive, step-by-step guide on how to build a production-grade Spring Boot application using an LLM as your AI ... Building a Production-Grade Spring Boot Application from Scratch Using a Large Language Model (LLM)

Here is short info about post: The General Data Protection Regulation (GDPR) has transformed how organizations handle personal data, requiring robust compliance strategies—especially for software applications. For developers working in the .NET ecosystem, ensuring GDPR compliance while maintaining security and high performance is not just a legal obligation but also a competitive advantage. This article explores how to implement GDPR-compliant practices using .NET technologies, combining data privacy with strong security architecture and optimal application performance. Understanding GDPR in the Context of .NET GDPR enforces principles such ... GDPR Compliance With .NET: Building Secure and High-Performing Applications That Meet Regulatory Standards

Here is short info about post: In today’s era of big data, building data pipelines that are robust, scalable, and fault-tolerant is essential for organizations aiming to extract timely, reliable insights. Apache Airflow—a powerful platform for programmatically authoring, scheduling, and monitoring workflows—has emerged as a leading choice for orchestrating complex data processes. This article will guide you through the design and implementation of scalable, fault-tolerant data pipelines using Apache Airflow, supported by practical code examples to illustrate key concepts. Understanding the Core of Apache Airflow Apache ... How To Build Scalable And Fault-Tolerant Data Pipelines With Apache Airflow

Here is short info about post: Dependency Injection (DI) is a powerful design pattern that allows you to decouple components in a software system, making the codebase more modular, testable, and flexible. Although Python is not statically typed and doesn’t have a built-in DI container like Java or C#, the language’s dynamic nature and support for functions as first-class objects make it ideal for implementing DI in a clean and concise way. In this article, we’ll explore how Dependency Injection in Python can elevate the quality ... How Dependency Injection in Python Improves Code Structure, Testing, and Flexibility

Here is short info about post: Scalability is a core attribute of modern systems, especially in cloud-native, data-intensive, and distributed environments. A system’s ability to handle increased load—be it traffic, data, or concurrent users—without sacrificing performance or reliability defines its scalability. This article outlines how to build scalable systems from the ground up, how to measure scalability quantitatively, and how to continuously improve it with real-world coding examples and tools. Understanding Scalability: Vertical vs Horizontal Before designing scalable systems, it’s essential to distinguish between vertical and ... How To Build, Measure, And Improve Scalability

Here is short info about post: Virtual Reality (VR) technology has evolved rapidly over the last decade, especially in how users interact with digital environments through avatars. Designing effective tasks and interaction methodologies is crucial for testing avatar representation and perspective in VR navigation systems. This article delves into state-of-the-art techniques, providing coding examples, discussing their theoretical foundations, and culminating with a comprehensive conclusion. Understanding the Importance of Avatar Representation and Perspective in VR In VR, an avatar is the user’s embodiment in the virtual world. ... State-Of-The-Art Task And User Interaction Design Methodologies For Testing Avatar Representation And Perspective In VR Navigation

Here is short info about post: In today’s multi-language and multi-platform world, systems need to be robust, scalable, and language-agnostic. Modern architectures must support a wide array of client applications, microservices, databases, and AI systems written in different programming languages. In this article, we will walk through a modern stack designed precisely for these needs. We’ll also provide code examples in multiple languages and outline why this stack ensures longevity, adaptability, and high performance. Why Do We Need a Modern, Language-Independent Stack? Traditional monolithic architectures often ... A Modern Stack for Building Robust and Scalable Systems That Can Be Integrated into All Programming Languages

Here is short info about post: Azure Application Insights provides powerful telemetry data for applications, helping teams monitor, troubleshoot, and optimize their software systems. When deploying microservices to Azure Kubernetes Service (AKS), setting up telemetry becomes crucial — but manually instrumenting every service can be tedious and error-prone. Auto-instrumentation offers a streamlined solution. This article explores auto-instrumentation in Azure Application Insights on AKS, walking through key concepts, a practical setup guide, and working code examples. We’ll cover the challenges auto-instrumentation solves, explain how it works, and ... Auto-Instrumentation in Azure Application Insights on AKS

Here is short info about post: Microservices architectures offer enormous advantages in scalability, flexibility, and independent deployments. However, these distributed systems also introduce new complexities, particularly around failure handling. Since microservices are often deployed across multiple servers, regions, or even clouds, partial failures are inevitable and must be handled gracefully to maintain system reliability and resilience. In this article, we’ll explore common failure handling mechanisms in microservices, supported with coding examples, and ensure a comprehensive understanding of the best practices you can adopt. Why Failure Handling ... Failure Handling Mechanisms in Microservices

Here is short info about post: In the ever-expanding world of distributed systems, data replication plays a vital role in ensuring availability, fault tolerance, and resilience. However, replication introduces the challenge of data consistency when updates are made concurrently across nodes. Traditional consistency models like strong consistency can be too restrictive or inefficient for high-availability systems. This is where Conflict-Free Replicated Data Types (CRDTs) come in. CRDTs are specially designed data structures that allow safe, concurrent, and asynchronous updates across replicas, with the guarantee that all ... Conflict-Free Replicated Data Types (CRDTs): Ensuring Eventual Consistency Across Replicas

Here is short info about post: Node.js has become a go-to platform for building server-side applications thanks to its event-driven architecture, non-blocking I/O model, and vibrant ecosystem. However, building a scalable, high-performance application requires careful attention to architecture, code modularity, asynchronous logic, robust error handling, efficient dependency management, and bulletproof security practices. This article explores industry best practices in each of these critical areas with actionable insights and practical code examples. Modular Code Architecture: Structure for Scalability A monolithic file with thousands of lines of code ... Node.js Best Practices For Building Scalable, High-Performance Applications

Here is short info about post: Artificial Intelligence (AI) has moved from futuristic fiction to an integral part of our daily digital lives. Whether you’re interacting with voice assistants, using recommendation systems, or exploring generative models, AI is at the heart of it all. In this article, we’ll walk you through building a basic AI model using Python — a beginner-friendly and powerful programming language for machine learning and AI development. We’ll start with understanding the fundamentals, set up a project, train a model using the ... How To Build A Basic AI Model In Python