Oliver Kieselbach dff1532be5 feat: project ConnectionType (WiFi/Ethernet) onto SessionsIndex
The agent already reports connectionType in every network_interface_info
event, but it was only stored as a JSON blob in DeviceSnapshot — answering
"how many machines enroll over Ethernet vs WiFi?" required a slow full-table
scan via deviceProperties. Project it as a typed column instead (template:
the AvgApiLatencyMs chain), making it a cheap indexed one-call query.

- Ingest: TryExtractConnectionType — last network_interface_info emission of
  the batch wins (a device switching media mid-enrollment is relabeled);
  only exact "WiFi"/"Ethernet" accepted, fire-and-forget fail-soft writer
- Storage: UpdateSessionConnectionTypeAsync (Merge on Sessions + index
  mirror, tombstone-safe), BuildSessionIndexEntity superset entry,
  MapToSessionSummary, re-registration preserve in StoreSessionAsync
- Search: connectionType= filter with OData eq push-down on the index,
  client-side backstop on the non-OData paths, fields=connectionType
  projection, pagination fingerprint entry, raw endpoint parity
- MCP: connectionType z.enum param on search_sessions/query_raw_sessions,
  fields doc updated (server redeploy required)
- Web: optional sortable/filterable "Connection" column in the session list
- No backfill: legacy sessions lack the column and are excluded by the
  filter (intended, same semantics as RebootCount); the deviceProperties
  scan path still covers historical data

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-28 14:25:17 +02:00
2026-07-28 09:53:57 +02:00
2026-03-26 07:02:33 +01:00
2026-07-20 20:52:56 +02:00

AutopilotMonitor

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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 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.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
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