Oliver Kieselbach
0859c05f4a
Codex review (P1): ImeLogTrackerAdapter.BuildAppStatePayload only set
DataJson.failureType for `esp_apps_timeout`. After the HRESULT-aware
classifier landed (4dd050e0), apps promoted with `esp_apps_detection_failure`
or `esp_apps_install_failure` still landed with errorPatternId set but
failureType missing. Downstream consequences:
- ANALYZE-APP-013 (dataField: failureType, value: esp_apps_detection_failure)
never matched.
- EventIngestProcessor.AppInstall set AppInstallSummary.FailureCode to the
HRESULT instead of the canonical failureType.
- InstallProgress.tsx fell back to the generic "Failed" badge.
Extend the gate to cover all three AppFailureTypes constants and stamp
DataJson.failureType from app.ErrorPatternId. Adds a Theory test covering
all three flavours and a regression assertion that an unrelated IME-ERROR-*
pattern does NOT spuriously promote to failureType.
Coverage: 108/108 ImeLogTrackerAdapter tests, 1176/1176 V2.Core.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Autopilot Monitor
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.