Oliver Kieselbach
ede616444a
IME reports skips and uninstall enforcements through the same completed events, so both panels counted them as successful installs/downloads and their pills contradicted the app_tracking_summary headers (session 502274b4: "2 of 8 installed" vs "6 completed"). - Install fold: app_install_completed with state Skipped -> Skipped; successful uninstall intent -> new terminal state Uninstalled with its own pill and neutral row badge; completed now counts only real installs. - Download fold: rows are classified by observed byte activity, never by intent (Win32 uninstalls re-download the full package and stay visible with an Uninstall badge); 0-byte rows sit behind a "no download" toggle. - Both panels render tracker-known pending apps (summary pendingNames) behind a "pending" toggle, so every "X of Y" header fully adds up. - Headers wrap on narrow screens (flex-wrap + gap instead of space-x). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
AutopilotMonitor
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.