Oliver Kieselbach 03b27e1377 refactor(v2core): M4.3.2 signal adapter (shell-core tracker)
Plan §2.1a / §2.2 — ShellCoreTracker verbindet 3 Events mit 3 DecisionSignalKinds.

New:
- ShellCoreTrackerAdapter
  - FinalizingSetupPhaseTriggered → EspPhaseChanged (phase=FinalizingSetup, reason propagated)
  - WhiteGloveCompleted → WhiteGloveShellCoreSuccess
  - EspFailureDetected → EspTerminalFailure (failureType in payload, "unknown" fallback)
- Per-kind Dedup-Flags (independent fire-once pro Signal-Kind)

NOTE: ModernDeploymentTracker ist NICHT Signal-relevant (emittiert EnrollmentEvents
via onEventCollected callback → Events-Tabelle-Pipeline). Wird in M4.4 Orchestrator
direkt an TelemetryTransport als Kind=Event gebridged, nicht als SignalAdapter.
Event 509 (WhiteGlove Start) war in Legacy Scoring-Factor (+15); per M3-Erkenntnis
wurde das Weight in V2 entfernt → keine Signal-Emission nötig.

Tests (+7, 102 total V2.Core.Tests):
- Finalizing → EspPhaseChanged mit korrekter EnrollmentPhase.FinalizingSetup
- WhiteGloveCompleted → WhiteGloveShellCoreSuccess
- EspFailure → EspTerminalFailure mit failureType
- Empty failureType → "unknown" fallback
- Per-kind independent dedup (3 Events → 3 Posts, Duplicates gefiltert)
- All-3-in-one-session flow
- Null-args throw

Testsuite: 1216 → 1223.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 16:48:29 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-04-04 19:17:01 +02:00

Autopilot Monitor

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.
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