Oliver Kieselbach
f4d51ea499
Telemetry cost (L4): worker-side adaptive sampling now excludes Request;Event so the enriched RequestTelemetryMiddleware copy is never thinned; host.json Host.Results=Error drops the duplicate unenriched host request item. One complete request row per call instead of two (one unsampled+unenriched, one sampled+enriched). Ingest hot path (H2/H3): BlockedDeviceService caches negative answers (30s revalidation, symmetric with positive entries) so healthy devices no longer pay a BlockedDevices point-read per request; SessionDeletionGuard returns its already-loaded row and IncrementSessionEventCountAsync returns the post-merge snapshot, collapsing ~4 Sessions reads/batch to ~2. Queue-worker correctness (O1/O2): new GetSessionEventsStrictAsync propagates storage failures on the analyze + vulnerability-correlate paths so a transient read fault retries/poisons instead of silently deleting the message after "analyzing" an empty stream. Fail-soft variant kept for UI/metrics surfaces. Review fixes: parse prefetched Status as string (the actual wire format, was int -> optimization never fired); session-aware block over a cached negative entry keeps its session scope instead of widening to whole-device. 2274/2274 backend tests green. Co-Authored-By: Claude Fable 5 <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.