Recently published articles

Comparative Analysis between Monolithic Architecture and Microservices in .NET Applications This article explores monolithic and microservices software architectures, focusing on their implications for .NET applications. The monolithic architecture, which integrates all components into a single unit, is simpler to develop but faces challenges in scalability and maintenance as it grows.

Exploring the CQRS Pattern in Web APIs with .NET Core This article explores the implementation of the Command Query Responsibility Segregation (CQRS) pattern in Web APIs using .NET Core. CQRS separates read and write operations, allowing for independent optimizations and better scalability in complex applications. The text details basic components such as commands, queries, and events, and presents a practical project in .NET Core.

Exploring Code Smells in C#: Detection and Refactoring The article discusses the concept of "code smells," which are signs of design and implementation problems in the code that can compromise its maintainability and scalability. Although they are not bugs, their presence can affect team morale and software quality. SonarQube is presented as an effective tool for detecting these issues, allowing teams to focus on the continuous improvement of the code.

Effective Use of Delegates for Implementing Callbacks in C# This article explores the use of delegates in C# to efficiently implement callbacks and events. It begins with an introduction to delegates, followed by practical examples that demonstrate their application in callbacks, multicast, LINQ, and asynchronous programming. The text also addresses the creation of generic delegates and the comparison between delegates and interfaces.

API-First and Event-Driven Architecture: Complementary Approaches for Scalable Systems This article explores the intersection between two modern approaches to software architecture: API-First and Event-Driven Architecture (EDA). The API-First approach prioritizes API design before development, promoting clear collaboration and documentation, while EDA enables asynchronous and decoupled communication between components, enhancing scalability and resilience. The combination of these methodologies can lead to more efficient and agile systems.

Comparison between Client-Side Rendering and Server-Side Rendering: Impacts on Performance and User Experience This article analyzes the approaches of Client-Side Rendering (CSR) and Server-Side Rendering (SSR) in web applications, highlighting their impacts on performance and user experience. CSR allows for fluid interactions but may have a slower initial load, while SSR offers fast rendering but can result in slower navigation. The choice between the two techniques should consider factors such as SEO, scalability, and the specific needs of the project.

Comparative Analysis between Cognitive Complexity and Cyclomatic Complexity in Software Development This article explores the relationship between cognitive complexity and cyclomatic complexity in software development. Cognitive complexity, a qualitative metric, reflects the difficulty of the programmer in understanding the code, while cyclomatic complexity is a quantitative metric that measures the number of independent paths in the code. Although distinct, both impact the readability and maintainability of the software.

Limitations and challenges of using the KLOC metric in effort estimation for C# projects The KLOC (thousands of lines of code) metric is widely used to estimate effort in software development projects, especially in C#. However, its simplicity hides significant limitations, such as the lack of consideration for code complexity and quality. Projects with the same number of lines may require different efforts, depending on the team's experience and the nature of the code.

Optimization of Settings for Iris Recognition with VeriEye in C# Iris recognition is a biometric technique that stands out for its accuracy in security and authentication systems. This article explores the optimization of the VeriEye library in C# to improve the accuracy and speed of recognition, addressing everything from initial setup to integration with other systems. It highlights adjustments in image capture parameters, optimization of processing algorithms, and efficient data management.