Oliver Kieselbach 076ea7e5fd feat(agent): passive internet-bandwidth estimate from DO counters
New one-shot network_bandwidth_estimate event derived passively from the
Delivery Optimization byte counters the DeliveryOptimizationCollector
already polls every 3s - zero synthetic traffic, zero extra load, no
config change.

- BandwidthEstimator: per-FileId delta windows (a DO job that drops off
  the list and returns is averaged over its own absence window), p90/max
  reduction, WAN (HTTP + internet peers) vs LAN (LAN/group/link-local
  peers + Connected Cache) split so peer-fed downloads cannot inflate
  the WAN figure; bucket (<10/10-50/50-100/100-250/250+) + confidence.
- Emitted at most twice per session (snapshotTrigger): interim snapshot
  on first AccountSetup sighting (device_setup_end - survives sessions
  that starve in the account phase) and authoritative final at collector
  stop (collector_stop, lands before diagnostics_collecting).
- All DO jobs feed it (IME apps, Office CDN, WU/Store/Defender).
- Registered in Constants.EventTypes, MCP resource-catalog
  (network_events) and web gather-rules autocomplete.
- Drive-by: add missing agent_emergency_break to the MCP catalog
  (pre-existing drift, event-types-drift test was red).

13 new estimator unit tests; agent suite 1655/1655, MCP drift 6/6,
web tsc + eventTypes vitest green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 11:25:30 +02:00
2026-07-06 21:50:51 +02:00
2026-03-26 07:02:33 +01:00
2026-07-06 20:53:00 +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 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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