Oliver Kieselbach 990641b19e feat: P14 - per-upload-batch send time separates spool delay from clock offset
Agent stamps X-Send-Time-Utc (device clock, ISO-8601 round-trip) per upload
ATTEMPT; ingest parses it (year>=2000 guard, deliberately no upper clamp) and
server-stamps SentAt onto every event of the request. SentAt - OccurredUtc is
pure spool delay, ReceivedAt - SentAt is network + device-vs-server clock
offset - previously indistinguishable and only separable via median statistics.

clock_skew condition: batches carrying SentAt measure the frame directly
(spool-immune by construction - no spread cap, IME/clamped exclusions
irrelevant, IME-only sessions become measurable; evidence sentAtBatchCount);
legacy batches keep the per-event median path unchanged. CmTraceSkewTripwire
deliberately untouched: its differential median math cancels clock offset as
common mode.

Full persistence chain: Store x2 + Map, fields= projection (sentAt), MCP
get_session_events field list + rule-authoring-guide. New OKF doc
backend/send-time-frame-separation.md.

Suites: Functions 4370 (+16), Agent 2407 (+1), MCP vitest 564 + tsc 0.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-21 00:44:29 +02:00
2026-07-29 16:00:17 +02:00
2026-03-26 07:02:33 +01:00

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.

Availability

Autopilot Monitor is publicly available — the Community plan is free. Sign in with your work account at autopilotmonitor.com; new organizations complete a short activation step after first sign-in.

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.
Readme AGPL-3.0 60 MiB
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