Monitoring, logging, and system observability
Eventual consistency in DDD works when the inconsistency window is a business number. Build a .NET saga with outbox and idempotent consumers, then alert on it.
Picture this. Your team just rolled out a new payments service into production. It’s late Friday night. Everything looks fine at first glance, but suddenly transactions stop flowing. You open the logs and dashboards, but nothing obvious shows up. Was it the database? The service? The network? You don’t know yet. This is where a health endpoint could have been your first line of defense. Instead of digging through half a dozen monitoring tools, you could hit a simple /health URL and instantly know if the service was alive, if its dependencies were reachable, and if it was fit to serve requests.