Technology

17 articles on technology.

• Multi-Region Data Residency Architecture for AI Chatbot Applications on AWS — How to design an AI chatbot platform that serves users in the USA, Canada, Germany, Switzerland, and China from one codebase while guaranteeing that each region's data never leaves its borders.
• RestMSSQL: Turn Any SQL Server Database into a REST API with One Command — Tired of writing the same CRUD boilerplate every time I needed to expose a SQL Server database, I built RestMSSQL. Point it at a database, get a full REST API with Swagger. That's it.
• How I Use Server-Sent Events in C# to Stream Data in Real Time — When SSE is the right call over WebSockets, how to build SSE endpoints in ASP.NET Core, and how to consume them from JavaScript.
• MLOps Pipeline with Python MLflow and Docker — Setting up an MLOps pipeline with MLflow and Docker for experiment tracking, model registry, and serving in reproducible containers.
• Building Micro Frontends with Blazor WebAssembly and C# — How to structure micro frontends in Blazor WebAssembly with dynamic module loading, cross-module event communication, caching, and deployment pipelines.
• Building a Weather Prediction Model with ML.NET — Building a weather prediction model in ML.NET from data modeling through training, evaluation, and deployment.
• Build a Streaming API with .NET Core and RabbitMQ for Log/Data Streaming — How to build a streaming API with .NET Core and RabbitMQ, using SignalR to push data to multiple clients over WebSockets.
• Zero-Cost n8n Setup with Docker & Community Proxy (MCP) — How to run n8n for free using Docker and the n8n Community Proxy for public webhook access without hosting costs.
• Parallel Processing in .NET 10 – Smarter, Faster, Scalable — What changed in .NET 10 for parallel and concurrent programming: smarter task scheduling, vectorized loops, PLINQ improvements, and the new Task Groups API.
• Simplify Weighing Scale Integration in .NET Applications — A C# library for RS232 serial communication with electronic weighing machines, with plug-and-play connectivity and extensible device parsers.
• What's New in .NET 10 — .NET 10 adds deeper AI integration, C# 14 language features, cloud-native improvements, and performance gains over .NET 8 and 9.
• .NET Version Evolution Guide — Tracing the .NET platform from Framework 1.0 in 2002 through .NET Core to the unified .NET 9.0 in 2024.
• Modern Data Science with Polars and Python — Polars is fast and its API is expressive. This post covers lazy evaluation, the expression system, and where it genuinely outperforms Pandas on larger datasets.
• Real-Time ML Data Pipelines with Python Apache Kafka and Scikit-Learn — Building ML pipelines that process data in real time using Kafka for streaming, with feature engineering and model inference on live data.
• Image Classification with ML.NET in .NET 8 — Building an image classifier with ML.NET 3.0 in .NET 8 using transfer learning, from data loading through prediction.
• End-to-End Data Science Pipeline with Python Scikit-Learn and Pandas — A full ML pipeline in Pandas and Scikit-Learn, from loading data through feature engineering, training, and evaluation.
• An Enterprise Git Branching Strategy: main, develop, prod, and Promoting Through Staging — A practical four-branch model for enterprise teams. feature and fix branches flow into develop, develop promotes to prod, and every push is gated by Staging (QC/Test, then PreProd) before it reaches Production.