Observability fails when every team invents metric names and trace attributes. Standardize service identity and golden signals first: latency, traffic, errors, saturation.
OpenTelemetry helps unify instrumentation, but collectors and sampling policies still need design. Trace too little and you guess; trace everything and you pay for noise.
Dashboards should answer triage questions in under a minute. Alerts should page on symptoms users feel—not on every CPU blip.
When telemetry is consistent, AIOps and humans both get smarter.
Align alert thresholds to SLOs so pages reflect customer impact.
Propagate trace context through async jobs and queues—or you will debug with blind spots.
Give each service an owner and a default dashboard link in the service catalog.
Key takeaways
- Standardize service identity before expanding instrumentation coverage.
- Golden signals should drive triage dashboards that answer questions in under a minute.
- Sample traces intentionally; more data is not automatically better signal.
FAQ
Metrics, logs, or traces first?
Start with golden signal metrics and structured logs for your critical user journeys, then add traces where dependency latency is unclear.
Why do OpenTelemetry projects stall?
Collectors, sampling, and attribute standards are left undefined. Instrumentation without an operating model becomes expensive noise.