Category: Software Development

  • What is MQTTS? Secure MQTT Communication for IoT Devices

    In IoT systems, devices often communicate using MQTT (Message Queuing Telemetry Transport)—a lightweight and efficient publish/subscribe protocol. However, standard MQTT communication is unencrypted, which makes it vulnerable to eavesdropping and man-in-the-middle attacks. To solve this, we use MQTTS, which is simply MQTT over SSL/TLS encryption. In this article, we’ll explore what MQTTS is, why it’s…

  • Writing Secure Software: Best Practices for Developers

    Security is not a feature—it’s a necessity. In today’s connected world, software vulnerabilities can lead to data breaches, financial loss, and damaged reputations. Whether you’re developing a web application, desktop tool, or API, writing secure software should be a top priority from day one. This article outlines the key principles and practices developers should follow…

  • Reverse Engineering in .NET and C#: Risks, Tools, and Protection Methods

    Reverse engineering in software refers to the process of analyzing an application to understand its structure, functionality, and source code—without having access to the original source. In the context of .NET and C#, reverse engineering is particularly relevant because of how the .NET runtime compiles and executes code. This article explores how .NET applications can…

  • RS485 Communication in IoT Projects Using the MAX485 Chip

    In modern IoT applications, reliable long-distance and noise-resistant communication is crucial—especially in industrial environments. That’s where RS485 communication and the MAX485 chip come into play. RS485 is widely used in IoT devices for its robustness, and MAX485 makes it easier to implement. This article explains what RS485 is, why it’s used in IoT systems, and…

  • What is dbt and How to Use It?

    In modern data engineering workflows, the transformation step of the ELT process has become increasingly critical. This is where dbt (data build tool) comes in. dbt is an open-source tool that enables data teams to transform data in their cloud data warehouses using just SQL and a bit of YAML. Rather than relying on traditional…

  • Why .NET is Still a Strong Choice for Developers and Businesses

    In a world filled with programming languages, frameworks, and platforms, developers and companies often ask the question: Is .NET still worth learning or using? The answer is yes. Despite being over two decades old, the .NET ecosystem—especially with the rise of .NET Core and now .NET 6, 7, and 8—remains one of the most powerful,…

  • ETL vs ELT: What’s the Difference and When to Use Each?

    In the world of modern data engineering, two common approaches for data integration dominate the conversation: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). Although the acronyms look similar, the difference in execution and architecture is significant. Choosing between ETL and ELT depends on the data sources, target systems, performance needs, and the tools…

  • Flutter vs React Native: Which One Should You Choose?

    When it comes to cross-platform mobile app development, two names dominate the conversation: Flutter and React Native. Both frameworks allow developers to build apps for iOS and Android using a single codebase, saving time and resources. But which one is better for your project, team, or career path? In this article, we’ll compare Flutter and…

  • Why Visual Studio is Still a Top IDE for .NET Developers

    When it comes to building modern applications with .NET, one tool has remained at the top for decades: Visual Studio. While lightweight editors like VS Code are growing in popularity, Visual Studio continues to be the go-to integrated development environment (IDE) for professional .NET developers—and for good reason. In this post, we’ll explore why Visual…

  • Understanding the ETL Process: Extract, Transform, Load

    The ETL process—short for Extract, Transform, Load—is a foundational concept in data engineering and business intelligence. It is the process of moving data from multiple sources into a centralized system such as a Data Warehouse (DWH), where it can be analyzed and used for reporting, decision-making, or machine learning. Below, we’ll break down the ETL…