Oliver Kieselbach 7b4b3071a4 refactor: replace Fuse/vector event search with weighted keyword scoring
Fuse fuzzy matching was too loose for structured event data (matched
"app_tracking_summary" instead of "app_install_failed"). Vector embeddings
didn't scale (timeout on 1000+ events even with 2 vCPU).

New approach: prefix-aware keyword matching with weighted field scoring.
EventType matches score 3x, message 2x, source 1.5x, data 0.5x.
Prefix matching handles morphological variants (install↔installation).
Knowledge base search_knowledge still uses vector (pre-indexed at startup).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 01:39:01 +02:00
2026-04-04 19:13:33 +02:00
2026-04-03 20:05:19 +02:00
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2026-04-04 01:12:05 +02:00
2026-04-01 04:33:45 +02:00
2026-03-31 22:29:24 +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
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C# 72.7%
TypeScript 25.7%
PowerShell 1%
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