Most platforms do not suffer from lack of telemetry. They suffer from too much noise and weak signal hierarchy.
During incidents, teams need immediate orientation: what is failing, where, and how bad it is.
Reprioritize the Three Pillars
Metrics First
Metrics should be the primary operational signal.
- RED metrics for services (rate, errors, duration)
- USE metrics for infrastructure (utilization, saturation, errors)
- business flow indicators for end-user impact
Logs for Diagnosis
Logs are useful after detection, not as primary detection.
Use structured logs, correlation IDs, and query conventions that match incident playbooks.
Traces for Distributed Latency
Tracing is essential when call chains are complex. For simpler systems, metrics and logs may be sufficient.
Build Alerting That Triggers Action
Every alert should map to a concrete decision.
- Alert on symptoms, not low-level causes.
- Keep strict critical-alert budgets per service.
- Attach runbooks to each actionable alert.
If nobody acts on an alert, remove or downgrade it.
Dashboard Architecture Matters
Design dashboard navigation as a three-level model:
- global health overview
- service-level operational view
- deep debug view for incidents
Operators should move from level 1 to level 3 in seconds.
Observe the CI/CD System Too
Developer productivity degrades before production does. Track pipeline metrics:
- build duration trend
- first-pass success rate
- merge-to-production lead time
- deployment frequency
These indicators expose delivery friction early.
Bottom Line
Observability is a design discipline. Keep signals sharp, alerting actionable, and navigation fast.