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Articles tagged with #software-engineering
How to unlock real performance gains without turning your data model into a mess Most engineers start in the same place. You normalise the schema, remove duplication, keep each fact in one place, and
People talk about payload compression as if it were a single checkbox in Program.cs. Turn on gzip, maybe add Brotli, and move on. That approach is no good for a production system that serves high-volu
Modern distributed systems rarely fail because the core business logic is too hard. They fail because the edges are messy. One service is slow, another is flaky, a third is legacy, a fourth is owned b
Why Developers Get This Wrong Most engineers learning modular monoliths fall into two traps. The first group collapses boundaries by sharing DbContexts, repositories, and entities across modules. The
Most software systems do not fail because developers cannot write code. They fail because you cannot control how that code evolves over time. Architecture starts clear, clean, and well-structured. Six
Once you’ve enforced boundaries, adopted vertical slices, and given each module its own DbContext, a new tension appears almost immediately. Modules are now properly isolated. They own their data. They commit independently. They even fail independent...
