Oliver Kieselbach
4da8f2d42d
Three steady-state CPU/thread savings in the V2 collector layer, no wire-behavior change: - ModernDeploymentTracker: extract Classify() (EventID/level/channel only, never the formatted description) so ProcessRecord skips record.FormatDescription() entirely for rollup-suppressed records. The Autopilot channel has no EventID filter, so harmless-ID bursts (session 8bc1180f: ~689 EventID-100 records/min) no longer load the provider message-resource DLL just to be discarded. The testable ProcessEvent core keeps its exact signature and shares Classify, so the rollup counter still increments exactly once per event. - NetworkChangeDetector: OnDebounceElapsed -> async void + ProcessNetworkChangeAsync awaits instead of Task.Delay().Wait()/RunConnectivityChecksAsync().Wait(); frees the pool thread instead of parking it ~5-13s per network change. - ProvisioningStatusTracker: guard the per-category raw-JSON Trace interpolation behind a LogLevel>=Trace check so the string isn't materialized when Trace is off. V2.Core 1538/1538, DecisionCore 400/400 green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.