Async Does Not Mean Scalable
async/await frees threads but doesn't reduce work. Message queues move the bottleneck, they don't remove it. Here's what actually limits throughput in .NET systems.
Tagged “distributed-systems”
When Business Processes Outlive Your Request
A practical guide to designing long-running business processes with the Saga pattern - covering orchestration vs choreography, compensating transactions, timeouts, and observability.
Eventual Consistency Explained
Your data disagreeing with itself isn't a bug. It's a trade-off. What eventual consistency guarantees, where you're already relying on it, and how to design for it instead of getting bitten by it.
Your Idempotency Check Has a Race in It
Idempotency at rest is easy. Two retries arriving at the same moment is the case that breaks the version most teams wrote.
Compensation Is Not Rollback
Rollback is a database primitive. Distributed systems don't have one, and treating compensation as if they did is how workflows quietly break.
What Happens to Outbox When the Database Goes Down?
Every outbox explanation assumes the broker is what breaks. Here is what actually happens when the database is the thing that goes away.
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.NET, messaging, and distributed systems - the trade-offs the docs leave out.
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