Oliver Kieselbach 871ec31bf6 feat(backend/health): surface SignalR free-tier quota in /health/detailed
HealthCheckService now runs a fourth check (SignalR Quota) alongside Storage,
Processing, and Agent Binaries. Live read of ConnectionCount (max/1h) and
MessageCount (total since 00:00 UTC) via the same IAzureMonitorMetricsReader
that backs the maintenance-time Ops watcher - no cache; the data is already
3-5min stale from Azure Monitor's side, and a /health/detailed re-check is
expected to give fresh values during incident response.

Reuses MaintenanceService's internal classifier (CalculatePercent,
ClassifySignalRQuotaTier) so the watcher and the dashboard agree on the
80%/95% boundaries down to the floor-vs-ceil rounding.

Tier mapping: None -> healthy, Warning -> warning, Critical -> unhealthy.
Worst-of-both-metrics wins. PerformAllChecksAsync now uses a tri-state
combiner (any unhealthy / any warning / else healthy) so a Warning tier
correctly tints the OverallStatus bar yellow instead of red.

Fail-soft:
- SignalRResourceId unset -> Status="unknown" with "watcher not configured"
  (excluded from OverallStatus combiner so dev/local stays healthy)
- Both metric reads null -> Status="unhealthy" pointing at the most likely
  cause (Function App MI missing 'Monitoring Reader' on the SignalR resource)
- One read null -> "no data" for that row, normal classification for the other

Frontend unchanged: the existing /health-check Backend Services card loop
renders the new check with Connections, Messages, and Resource as Details.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 22:55:42 +02:00
2026-04-29 09:00:52 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-05-07 08:51:22 +02:00

Autopilot Monitor

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Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.

Private Preview

Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.

Overview

Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:

  • Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
  • Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
  • Backend API — Azure Functions-based ingestion and processing pipeline
  • Web Dashboard — Next.js application for real-time monitoring and fleet analytics

Architecture

For detailed information about the system architecture, components, and data flow, see Architecture Documentation.

Documentation

Full documentation is available at autopilotmonitor.com/docs

License

This project uses a split licensing model:

  • MIT License — Agent (src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices
  • AGPL-3.0 — Backend (src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source

See LICENSE for full details.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
Readme AGPL-3.0 60 MiB
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