Oliver Kieselbach ba7d14b070 fix(insights): post-deploy MCP findings - projection drop, aggregate starvation, duration artifacts
Three defects found by measuring production after the 1.5.1012 deploy:

- AppMetricsProjection dropped TerminalState, so the PR0 skip
  classification never reached metrics/app (totalSkipped stuck at 0).
  Column added; equivalence fixture now populates TerminalState/AppId/
  EspBlocking/AppIdCollision and asserts them (proven: test fails
  without the projection fix).
- BuildTimeAttributionAggregates excluded breakdowns on ANY quality
  flag; 903/1000 carry BlockingSetUnknown, starving fleet stats
  (Clean=12 vs 331 excluded on the largest tenant). New
  TimeAttributionFlagQuality.DurationCriticalFlags mask - only
  ClockSkew/PartialObservation/WGAnchors exclude; blocking-set flags
  keep their measured spans (positive-evidence semantics unchanged).
- HasMeasuredDuration gets an upper plausibility bound (6h = default
  AgentMaxLifetimeMinutes): 490 rows carried back-stamped completions
  (up to 117 days; 60175s app rows in a 2697s session) that dominated
  slowestApps with six-figure averages. Read-side, heals old + new rows.

Backend 3484/3484 green; solution build clean.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-27 14:50:55 +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.
Readme AGPL-3.0 60 MiB
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