Service health
Gapwise Status
Current production status for Gapwise applications, APIs, AI services, documentation, and operator-maintained systems.
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Service disruption detected
Production systems
Live service health
Current health, monitoring method, last confirmation, and endpoint-level diagnostics for every tracked Gapwise surface.
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Public production surfaces are automatically probed. Private workflows remain operator-confirmed until a safe synthetic check exists.
Each automatic service receives three attempts per cycle, reducing false alarms from one-off network failures.
Observability
How to read this page
This page distinguishes measured evidence from operator confirmation instead of presenting invented uptime percentages.
Public endpoint checked repeatedly from GitHub Actions. HTTP outcome is recorded in the live snapshot.
Used where a meaningful check requires authenticated state or a side effect that should not be synthesized continuously.
University of Toronto and other upstream systems can affect user experience while remaining outside Gapwise operational control.
Incident record
Recorded service history
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Monitoring methodology and limitations
Automatic checks run every 15 minutes against public production surfaces. Each service is attempted three times before the cycle is classified.
Freshness protection prevents an old green result from being shown as current. A snapshot older than 60 minutes is explicitly marked delayed while still showing its last-known service states.
History records observed status transitions. It is not a continuous SLA ledger and does not backfill uptime percentages for periods without continuous measurement.
If a user-facing issue persists after a retry, contact [email protected]. Security reports belong at [email protected].