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Oliver Kieselbach
6deb2f9845
The previous rule incorrectly matched any app_install_completed event against any app_install_failed event without correlating by appId. Changes: - RuleEngine: add app_state_regression source that finds apps where app_install_completed is followed by app_install_failed for the same appId, with optional DataField filter on the failed event; returns appId, appName, both event details and errorDetail as evidence - AnalyzeRule: document new app_state_regression source in comment - ANALYZE-APP-010: rewrite to use single app_state_regression condition (IME-ERROR-REPORT filter) + enrollment_complete check; evidence now contains the exact app name and id that regressed Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Autopilot Monitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments.
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
MIT License — see LICENSE for details