Oliver Kieselbach
35a3ed0cfb
Measured on the first live enrollment: 136 agent requests produced exactly ONE Graph call, because the 30-minute positive cache absorbed the rest. So the check is not a throttling risk (the per-request Autopilot serial validator made 25 calls in the same window) and the positive TTL needs no change — raising it would only delay noticing a wiped or removed device. What the 136 requests did cost was 136 log lines all saying the same thing. Gate the shadow log on ServedFromCache so it emits one line per real lookup. Cached repeats carry no new information: the reported age just counts up mechanically from the same enrolledDateTime. Outcomes that are never cached (Transient, NoDeviceIdInCert) keep logging every time, which is what an anomaly warrants. AsCacheHit() copies rather than marking the shared cached instance, so the first real lookup is never mistaken for a cache hit and dropped. Backend 4631/4631, 0 warnings. Co-Authored-By: Claude Opus 5 (1M context) <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.