Fleet Scorecard

Fleet health monitoring is handled by compiling metrics across managed instances into a single scorecard, capturing daily runs, tokens, and reliability data. It ingests prefetch results to generate an actionable daily health snapshot for operational oversight.

Day-over-day deltas for fleet metrics are computed by comparing current values against historical data stored in a CSV file. The scorecard automatically triggers alerts when it detects anomalies in reliability or cost estimates across your repositories.

Automating a daily fleet scorecard without hardcoding relies on self-discovery and federation. The process automatically includes self and managed instances from memory/instances.json, then writes the results to memory/scorecard.md for archival.

Generating cost estimates requires no external dependencies, but the process ingests prefetch results as input. It reads managed instances from memory/instances.json and outputs the daily reliability insights and cost data to memory/scorecard-history.csv.

A scorecard-history.csv file is needed for operational fleet monitoring because it enables trend analysis and day-over-day delta comparisons. Archiving daily fleet metrics allows you to track reliability and cost changes over time rather than viewing isolated daily snapshots.

Yes, this fleet monitoring approach automatically federates and includes instances managed across different repositories. By reading from memory/instances.json, it consolidates runs, tokens, and reliability metrics from all managed instances into a single unified scorecard.