Welcome to the Orbilon Technologies blog, your resource for expert insights on AI development, web and mobile application engineering, automation, DevOps, and SaaS best practices. Our team shares practical guides, industry analysis, and technical deep-dives to help developers, founders, and business leaders make smarter technology decisions.
Whether you are exploring AI agents, evaluating cloud infrastructure options, or looking for development best practices, our articles are written by engineers who build these solutions every day.
Unit Testing CQRS with Moq & MediatR Introduction CQRS (Command Query Responsibility Segregation) can be regarded as one of the best patterns when making clean and scalable .NET applications. Essentially, the pattern divides the read and write operations, thus developers can have less complex, more predictable, and easily maintainable logic.
AI Makes Zero-Trust Security Smarter Introduction Zero-Trust Security is a worldwide standard for the protection of information in technology of today. It zero-trust principle (never trust, always verify) is characterized by the fact that trust is not assumed for users, devices, or networks, but they are nevertheless verified. However, due
How AI Converts Marketing Data Into Automated Decisions Introduction Marketing teams today have a problem. They have tons of data but not enough time to look at it. Businesses track what customers do, sales numbers, how well campaigns perform, and what’s said on social media. But hardly any of them
RAG + ETL Hybrid Workflows: Smarter Data Retrieval With AI Introduction RAG + ETL hybrid workflows are radically changing the data management strategies of companies. In essence, these AI-powered solutions that integrate ETL operations with Retrieval-Augmented Generation are revolutionizing the way companies get insights by cutting down the time drastically
n8n + RAG Automation: Easily Create Potent RAG Pipelines That Work Automatically Introduction Retrieval-Augmented Generation (RAG) is basically the main tool behind very accurate and context-aware AI systems that have been accepted pretty fast. So, customer support automation, technical documentation Q&A, or enterprise knowledge assistants, RAG is the way to
How to Use the Nano Banana API in 60 Seconds Introduction Are you thinking of adding AI features to your app, but the idea of large models, complicated setup, and slow performance is putting you off? In that case, the Nano Banana API is just the right answer. It’s
AI-Powered .NET API Security Scanning: The Next Level of Intelligent Security Introduction APIs are the lifeline of contemporary applications and, therefore, have become one of the most significant security risks for enterprises. Conventional scanning instruments are frequently incapable of detecting the new threats; thus, the development becomes slower, and the
What will be the situation of AI electronic workers in companies by 2026? Introduction The worldwide change towards the use of machines is going at a very high speed, and by now, artificial employees are the main component of the core of modern companies. These smart digital workers are working
Low-Code + LLM Hybrid Systems: The Future of Intelligent Automation Introduction By merging elements of Low-Code Development with LLM Technology, Organizations can unlock the Power of Hybrid Solutions, which combine the Speed of Development with the Intelligence of machine learning. Companies are developing Smart Workflows using tools such as n8n
Automating DevOps Processes with N8N: Your CI/CD & Engineering Workflow Modernized Introduction DevOps engineers perform numerous repetitive tasks every day. Deployments, alerts, server monitoring, server infrastructure updates, problem resolution…the list goes on. Each of these daily responsibilities creates additional workload for DevOps engineers. As the workload piles up, so do
n8n as the Brain of Enterprise Automation Introduction Organizations today are overwhelmed with disconnected tools, fragmented insights, and manual processes. That is exactly where n8n helps as the “brain” of enterprise automation, providing an intelligence layer that connects apps, triggers AI models, and executes workflows with no effort. With n8n,
AI-Powered ETL Pipelines: Turn Raw Data into Smart Decisions Introduction Data only holds value when it is converted into a meaningful form. ETL workflows of the past have typically been affected by slow processing, manual data adjustments, and undesirable data quality. AI-powered ETL pipelines change all this by automating extraction,
