Oliver Kieselbach 1785854ac7 refactor(v2): extract BackendClientFactory from Program.RunAgent (PR3)
Phase 3 (BackendApiClient + DistressReporter + EmergencyReporter +
AuthFailureTracker + AuthCertificateMissing distress emit) and Phase 5
(mTLS HttpClient + BackendTelemetryUploader) move into
Runtime/BackendClientFactory.cs.

BackendAuthBundle holds the four clients plus the cached
manufacturer/model/serial from HardwareInfo so RunAgent + Phase 5 read
the same hardware identity. TelemetryClientResult is the discriminated
outcome for Phase 5 — Continue with mTLS+uploader, or Exit with the
V1-parity codes (4 = mTLS construction failure, 5 = uploader
construction failure).

Phase 4 (RemoteConfig fetch + merge + binary-integrity + bootstrap-
config cleanup) stays inline in RunAgent for PR4. RunAgent reads the
Phase 3 clients via local aliases so Phase 4 wiring is unchanged.

RunAgent's Phase 3+5 blocks shrink from ~80 lines to ~12 lines of
factory invocations + result destructuring. No behavioural change:
constructor argument lists, distress-emit guard, exit-code mapping
and the disposal-on-failure semantics are preserved.

Tests: 4 new BackendClientFactoryTests (auth-bundle smoke,
no-cert-lookup-on-bootstrap-auth, TelemetryClientResult.Exit,
TelemetryClientResult.Continue). V2.Core 747/750 without the 3 known
EnrollmentOrchestrator threading flakes (pass solo).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 11:50:01 +02:00
2026-04-22 19:36:19 +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.
Readme AGPL-3.0 60 MiB
Languages
C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%