All Articles on .NET, Azure & DevOps Engineering

Browse our latest articles exploring the tension between innovation and stability in software development

.NET CLI 10 – Microsoft Finally Realizes DevOps Exists

.NET CLI 10 – Microsoft Finally Realizes DevOps Exists

The .NET CLI? Reliable. Boring. You run dotnet build, dotnet test, dotnet publish, done. Real DevOps work happens in Dockerfiles, CI/CD configs, and specialized tools. The CLI does its job but was never built for actual operational workflows.

.NET 10 changes this. Four additions that sound minor but fix real problems I’ve hit in production pipelines for years: native container publishing, ephemeral tool execution, better cross-platform packaging, and machine-readable schemas. Not flashy. Not keynote material. But they’re the kind of improvements that save hours every week once you’re running them at scale.

Will they replace your current workflow? Depends on what you’re building. Let’s look at what actually changed.

Why Your Logging Strategy Fails in Production

Why Your Logging Strategy Fails in Production

Let me tell you what I’ve learned over the years from watching teams deploy logging strategies that looked great on paper and failed spectacularly at 3 AM when production burned.

It’s not that they didn’t know the theory. They’d read the Azure documentation. They’d seen the structured logging samples. They’d studied distributed tracing. The real problem was different: they knew what to do but had no idea why it mattered until production broke catastrophically.

.NET Job Scheduling: Choosing the Right Tool

.NET Job Scheduling: Choosing the Right Tool

Synthesizing the series into actionable guidance with feature comparisons, suitability ratings, and decision frameworks. Select the scheduler that matches your operational model, infrastructure constraints, and team priorities.
.NET Job Scheduling: TickerQ Architecture

.NET Job Scheduling: TickerQ Architecture

TickerQ represents the next generation of .NET schedulers with compile-time validation, reflection-free execution, and SignalR-powered monitoring. Understand when modern architecture patterns and performance optimizations justify adopting newer frameworks over established alternatives.