Oliver Kieselbach a5d12ba1d0 chore(ci): unify Node toolchain on 22 across CI + engines pins
Node 20 reached EOL (2026-04-30); Node 22 is the current maintenance LTS
and already the runtime the MCP container ships (node:22-slim). Straighten
the version skew so per-component CI major == deploy runtime == engines floor:

- ci.yml: web, mcp and guardrails setup-node 20 -> 22
- combine-rules.yml: setup-node 20 -> 22
- mcp package.json: add engines.node ">=22" (matches Dockerfile)
- web package.json: add engines.node ">=22" (first explicit pin; SWA/Oryx
  no longer picks a Node version implicitly)

engine-strict stays off (no .npmrc), so the pins are advisory and cannot
hard-break local installs on other Node versions.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-24 16:15:54 +02:00
2026-03-26 07:02:33 +01:00
2026-07-20 20:52:56 +02:00

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.

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 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.
Readme AGPL-3.0 60 MiB
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C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%