⚠️ Heads up: This is a short preview. The full 24-min deep dive lives on my blog — read it here →
Every "enterprise architecture" tutorial I've read had the same problem: clean diagrams, zero numbers.
So I wrote the one I wish I had when I shipped my last full-stack project — built around a real production system, with the actual P95 latencies, the EF Core changes that moved them, and the trade-offs I'd defend in a code review.
What's inside the full guide
- Clean Architecture layout that holds up after 3 years of feature creep
- CQRS + MediatR — where it earns its keep, where it's pure ceremony
- JWT auth done right — refresh-token rotation, the parts most tutorials skip
- SignalR at scale — Redis backplane, sticky sessions, the gotchas nobody warns you about
- EF Core perf wins — tracking, projection, compiled queries — P95 480ms → 90ms
- Angular ↔ .NET contract patterns that kill "works on my machine"
- Production metrics from a live system, not benchmarks on a laptop
A taste — the EF Core perf table from the article
| Change | P95 before | P95 after |
|---|---|---|
| Default tracking on read queries | 480 ms | — |
AsNoTracking() everywhere reads |
480 ms | 310 ms |
| Project to DTO instead of entities | 310 ms | 140 ms |
| Compiled queries on hot paths | 140 ms | 90 ms |
One endpoint. Four targeted changes. ~5× improvement. The article shows you the exact code for each.
Why I'm not republishing the full thing here
I want Dev.to readers to land on the original blog because the article keeps getting updated as I learn more. Bookmark the canonical URL — that's the source of truth.
👉 Read the full playbook on PrepStack →
If you're architecting (or rescuing) a full-stack .NET + Angular app in 2026, this is for you. Would love your feedback in the comments — especially from anyone running SignalR + Redis at scale. What patterns worked? What burned you?
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