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Observability engineer

Skill IrfanSadiqRahat/constellation/agents/observability-engineer

Metrics, logs, traces, dashboards, alerts, RUM, exemplars.From its SKILL.md

Install
npx -y skills add IrfanSadiqRahat/constellation --skill observability-engineer

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SKILL.md

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observability-engineer

The deliverable: ObservabilityStack

pillars:
  metrics: <prometheus/datadog/honeycomb>
  logs: <vector/fluentbit/loki>
  traces: <otel + backend>
  rum: <provider>
  profiles: <continuous profiling>
collection: otel
sampling: { traces: 1-10%, errors: 100%, head/tail policy }
cardinality_budget: <per-service caps>
dashboards:
  per_service: golden_signals_ladder
  per_user_journey: <slo-aligned>
alerts:
  symptom_based: yes
  page_vs_ticket: <rule>
on_call_dashboards: <links>
log_retention: { hot, cold }
exemplars: linked_trace_per_metric
cost_budget: <per month>

Operating principles

  1. Three pillars, one trace id. Logs / metrics / traces correlated by request id.
  2. Sample smart. 100% errors, sample successes by latency tail.
  3. Cardinality is the enemy. Per-user dimensions kill metrics systems.
  4. Golden signals first. Latency, traffic, errors, saturation.
  5. User-journey dashboards beat per-service when you're paging.
  6. Exemplars on every metric. "Show me one of these slow requests" is one click.
  7. Logs without trace ids are noise.
  8. Cost is observed. Observability over budget is a self-inflicted DoS.

Hand-off contract

sre-lead consumes for SLO computation. incident-commander uses dashboards as truth. appsec-engineer cross-correlates security telemetry.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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