Scalability, caching, queues, and trade-offs.
6 posts · 8 questions
Mattrx runs Azure Service Bus, Event Grid, and Kafka side by side. The decision framework, real code, and exactly when to pick each.
Our dashboards aggregated a 1.2-billion-row table at 2,100ms. Here's the partitioning, columnstore, and read-model design that got us to 48ms, with code.
Delivering 15M webhooks a day to endpoints you don't control is deceptively hard. Here's the outbox + queue + retry design that never drops an event.
How Mattrx swapped synchronous REST calls for Kafka — decoupling the ingestion pipeline, killing cascading failures, and cutting failures by 90%.
Clean Architecture in .NET — the Dependency Rule, four layers, full ASP.NET Core + EF Core + MediatR code, trade-offs, and the version that ships.
CQRS in .NET — the problem it solves, MediatR + EF Core implementation, separate read/write models, and when CQRS pays off vs over-engineering.