Logging Best Practices Most logging code is written as if it were for a monolith circa 2010: scattered / calls printing human-readable strings that tell a reader what the code is doing . In a distributed system under load that approach fails in predictable ways — you get 10k lines of noise per minute, no way to correlate across services, and when the incident hits you can answer "did it crash?" but not "which customers were affected, on which deploy, in which region". This skill exists to push code toward an observability primitive that actually works: one structured, context-rich event per u…