Oliver Kieselbach 6728dc474d feat(device): CPU architecture (x86/x64/ARM/ARM64) as hardware property + MCP-queryable
Architecture rides the existing hardware_spec telemetry event (alongside
CPU/RAM/GPU), so backend storage needs zero changes - it lands in the generic
Props_hardware_spec JSON blob and flows through the dynamic prop.* filter.

- Agent V2: CollectCpuInfo() adds Architecture to the existing Win32_Processor
  SELECT and emits cpuArchitecture via new MapProcessorArchitecture helper
  (0->x86, 5->ARM, 6->ia64, 9->x64, 12->ARM64). 64-bit WMI host reports true
  HW arch even under ARM64 emulation, unlike PROCESSOR_ARCHITECTURE.
- Backend: trailing-* prefix wildcard in MatchesDevicePropertyFilter so
  cpuArchitecture=ARM* matches ARM + ARM64 in one query (generic, exact/numeric
  behavior unchanged).
- Web: Architecture DetailRow in DeviceDetailsCard hardware section.
- MCP: resource-catalog entry + wildcard hint in search_sessions description.
- Tests: ProcessorArchitectureMappingTests (9), DevicePropertyFilterWildcardTests (15).

V2-only; old V1 agents and pre-existing sessions simply lack the key (no backfill).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 16:57:54 +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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