Analytics & Observability

Responsibilities

• Provide telemetry (logs/metrics/traces) and user experience monitoring.
• Define SLOs and support rapid diagnosis (MTTR reduction).
• Enable analytics pipelines with privacy controls.

Key interfaces

• Tracing context propagation and sampling policy.
• Metrics taxonomy (golden signals) and dashboards.
• Alerting and incident escalation workflow.

Operational signals

These are the measurements that tell you whether this layer is healthy in production.

• Golden signals: latency, traffic, errors, saturation.
• SLO compliance and burn rate alerts.
• Client-side Web Vitals and crash-free sessions.

Failure modes

• Telemetry overload causing cost or performance issues.
• Low-fidelity logs preventing root cause analysis.
• Alert fatigue from noisy signals.

Production readiness checklist

• Adopt a metrics taxonomy and sampling strategy.
• Instrument critical paths and propagate trace IDs everywhere.
• Tune alerts to actionable thresholds; run post-incident reviews.