Oliver Kieselbach a3089753d3 IME patterns: repair drift found by decompiled-source audit (IME 1.97 Dec-25)
Audit vs decompiled IME 1.97.107: ~55/79 patterns verified verbatim, but
several were broken or dead against the current V3 pipeline.

Fixes:
- IME-ESP-TRACK-STATUS: drop trailing anchor (line grew ' with name: <n>.')
- HS-COMPLIANCE: tolerate both 'remdiation' typo and corrected wording;
  new HS-COMPLIANCE-POST for the reworded post-detection line
- IME-DETECTION-RESULT: capture DetectedDifferentVersion (ordered first)
- IME-ENFORCEMENT-SUCCESS: unpin OldValue (Error/PendingReboot/null paths)
- IME-ERROR-REPORT: allow unquoted null OldValue on first write
- Disable 11 dead patterns (emitters removed with IME's old V1/V2 pipeline;
  IME-DETECTED-OLD additionally collided with IME-SKIP-INSTALL-DETECTED)

New signals (existing actions, tailed files only):
- IME-ESP-APP-REGISTERED + IME-CACHE-MISS as app-name sources (replacing
  dead IME-UPDATE-NAME-1/2/3)
- IME-WINGET-ERROR (WinGet failures were invisible)
- IME-EXITCODE-MAPPED-FAILED (normal mapped-exit-code failure path)
- IME-STOP-SIGNAL (service stop != OS shutdown)
- IME-RESTART-STOP-PROCESSING (reboot-gated processing abort)

Backend seed diff now also compares Enabled + Parameters - enable/disable
flips and parameter changes previously never propagated to the table.

All exact wordings verified against decompiled source; regex smoke-tested
via validate-ime-patterns.py (engine=regex, 75/75 compiled, all new
patterns fire on synthetic lines with the exact IME format strings).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-17 21:33:37 +02:00
2026-08-17 09:35:07 +02:00
2026-07-29 16:00:17 +02:00
2026-03-26 07:02:33 +01:00

AutopilotMonitor

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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.

Availability

Autopilot Monitor is publicly available — the Community plan is free. Sign in with your work account at autopilotmonitor.com; new organizations complete a short activation step after first sign-in.

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 admin documentation is available at docs.autopilotmonitor.com

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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