Use case (anonymized)
Asset Performance Monitoring
A monitoring program to make telemetry usable for operations: clean signal modeling, stable definitions, and an incident posture that reduces noise while preserving safety.
Executive summary
- Business goal: detect performance and reliability drift earlier, with clearer ownership.
- Approach: telemetry modeling plus a signal strategy aligned to action paths.
- Outcome: fewer noisy alerts and faster diagnosis when incidents occur.
Business context
- Telemetry existed but was not standardized across teams and assets.
- Operations could not tell which alerts were actionable vs informational.
- Root-cause analysis required manual stitching across dashboards.
What we delivered
- Telemetry contracts and event standards for key asset classes.
- Operational models: health states, drift, and exception taxonomy.
- Dashboards designed for diagnosis, not reporting.
- Runbooks and ownership mapping tied to alert routes.
Technical approach
How it holds up in production
- Schema evolution through contract gates and review workflows.
- Signal strategy built around “what to do next”.
- Drift signals to catch slow degradation before incidents.
- On-call posture: ownership routing and runbook clarity.