The cross-session index walk fetches /api/raw/events, which returns table
rows verbatim in PascalCase (EventType/Message/Source, Severity & Phase as
ints, DataJson as a JSON string, SessionId + PartitionKey). The scorer and
session extraction in search.ts read enriched camelCase fields, so every
fetched event scored 0 (eventsMatched:0) and yielded no _sessionId
(sessionsSearchedCount:0) despite thousands eventsFetched. Single-session
worked because it hits the enriched /api/sessions/{id}/events endpoint.
Add a defensive normalizeRawEvent boundary mapper (PascalCase-first,
camelCase fallback) applied in fetchEventsViaIndex: Severity int -> enum
name, DataJson string -> object, sessionId from SessionId or PartitionKey.
Widen EventEntry.phase to string|number; type raw rows as RawEventRow.
The former camelCase-only fixtures masked the defect; add 9 regression
tests exercising the real PascalCase shape end-to-end.
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.



