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Building an Observability Stack: Logs, Metrics, and Traces

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Orihost
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April 30, 2026
Date Published
Building an Observability Stack: Logs, Metrics, and Traces

Observability Is a System, Not a Dashboard

Teams often collect logs but still struggle during incidents. The missing piece is linking logs, metrics, and traces into one workflow.

The Three Signals Explained

  • Logs: detailed events for root cause evidence.
  • Metrics: trend and SLO visibility across time.
  • Traces: per-request path to isolate slow components.

What Each Signal Is Best For

QuestionBest SignalWhy
Are users impacted now?MetricsFast aggregate status
Which service is slow?TracesEnd-to-end latency breakdown
What exact error happened?LogsFull context and payload clues

Baseline Stack for Mid-Sized Apps

  1. Define SLIs/SLOs before tool setup.
  2. Instrument HTTP + DB calls for tracing.
  3. Include request_id and trace_id in logs.
  4. Alert on user-impact thresholds, not raw noise.
  5. Add runbook links to alert payloads.

Common Failure Pattern

Alert fires, on-call checks dashboard, then manually jumps across tools with no shared ID context. Fix this by enforcing correlation identifiers across all telemetry paths.

ObservabilityMonitoringSRE

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