Mining Analytics & Alerts

Make the evidence easy to inspect

A monitoring view should explain what it knows and where that knowledge came from. Store identity, source, observation time, and units before designing your charts. When a collector fails, preserve the last valid measurement with its age and mark the gap rather than inventing a continuous history.

Use one question to guide the first screen: which expected workers have current observations? Add deeper comparisons after the data contract can reliably distinguish healthy, stale, and unavailable states. A compact, transparent view is more useful than a dense wall of numbers that cannot be reconciled.

Give every alert a next action

Prometheus recommends symptom-focused alerting with useful diagnostic context and room for short-lived disturbances. Read the alerting guidance. Apply that principle by deciding who should receive a notification and what they can inspect before writing the condition.

Separate low measured output from missing telemetry. Define persistence and recovery rules, group related collection failures carefully, and keep planned maintenance time bounded. Test the path from a fictional incident to its notification and runbook before relying on it in an operational environment.

Use the demo as a design exercise

The MinerAPI dashboard switches between ASIC, GPU, and prompt fixtures. Its chart and metrics are labeled samples. They show how a presentation layer can preserve context without claiming live access to equipment or model execution.

For your own environment, collect only authorized observations, protect private credentials outside the browser, and validate the underlying device interfaces. The linked guides cover measurement arithmetic, hardware normalization, and the design of alerts that lead to useful decisions.