Oliver Kieselbach ab61839685 feat(backend): P6 split - CMTrace skew tripwire + customer clock_skew rule
Operator side: CmTraceSkewTripwire piggybacks on the terminal counter
reconcile's partition scan (zero extra reads) and compares median
ReceivedAt-OccurredUtc deltas of IME-derived vs other events. A clean
15-min-grid divergence (residual < 2 min, >=20 samples / >=3 distinct
batches per side) emits the CmTraceTimeSkewRegression ops event
(Agent/Warning, goal: never fires). Bias-dominated sessions are
suppressed; measuredWriterOffsetMinutes is never consulted (sticky
after era flip-backs). Kill switch: CmTraceSkewTripwireDisabled.

Customer side: new clock_skew analyze condition source (skewMetric
clock_jump | sustained_offset, threshold seconds, gt/gte magnitude)
behind built-in ANALYZE-DEV-008 (300 s = the Kerberos/Entra 5-min skew
boundary). Batch-median frames with spool-spread filter, plateau step
detection (a gradual backlog-drain ramp cannot fake a jump) and
end-state persistence; IME-derived events are excluded so a CMTrace
anchoring regression can never fire the customer rule. Evidence carries
field=skewSummary/value for {{skewSummary}} interpolation.

Full mirroring chain: schema enum + skewMetric property, shared
manifest + combine.js regeneration, MCP authoring guide + semantic
lint, web SOURCES/form/card, ops-event dual-register, docs. P5 is
subsumed by the tripwire. PercentileMath is now the single nearest-rank
implementation (Apps/PlatformMetrics delegate).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-20 22:30:10 +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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