4. Logging That Finds You
Coming soon
This chapter is an outline. The full draft ships in a follow-up PR.
What this chapter will cover
Logs in a Uni application are written for a human reading output, not for a log-aggregation pipeline to parse. That framing shapes what Uni's logger does, and — just as importantly — what it chooses not to do.
Concepts introduced:
- The
LogSupporttrait and why mixing it in beats passing aLoggeraround. - Source-location capture: how Uni captures file and line at compile time, and what that means at runtime.
- Log levels and how to choose between them without lying to your future self.
- Per-package log configuration at runtime.
- Why Uni's logger intentionally has no structured-logging API: logs are developer context, not machine-parsed records. When you need fields, IDs, and correlation, reach for a telemetry tool (metrics, traces) instead of encoding state into log lines.
- Formatting choices for terminals and for log files.
