Oliver Kieselbach
b7f74dbd35
Plan §5.9 / PR #9 — V1 Parity Issue #3: the IME log tracker callbacks now dual-emit a specific DecisionSignalKind + an InformationalEvent so the Events table regains the V1-compatible wire shape (esp_phase_changed, ime_user_session_completed, app_install_started, app_install_completed, app_install_failed, app_download_started, download_progress) while remaining on the single-rail signal pipeline. Changes: - ImeLogTrackerAdapter: construct an InformationalEventPost from the existing ingress/clock; after every EspPhaseChanged / UserSessionCompleted / AppStateChanged post, also emit a matching InformationalEvent. EspPhase declarations carry the mapped EnrollmentPhase (DeviceSetup / AccountSetup / FinalizingSetup) per feedback_phase_strategy. - AppState handler expanded from terminal-only to all state transitions with V1-compatible eventType mapping: Downloading transitions → app_download_started + byte updates → download_progress (Debug); Installing/InProgress → app_install_started; Installed/Skipped/Postponed → app_install_completed; Error → app_install_failed. Payload carries appId/appName/state/intent/ targeted/runAs/progressPercent/bytesDownloaded/bytesTotal/isError/isCompleted + appVersion/appType/detectionResult/attempt, plus error* fields on Error. - Shared.Constants.EventTypes: add EspPhaseChanged, ImeAgentVersion, ImeUserSessionCompleted, DoTelemetry, AllAppsCompleted. - Adapter tests: refactor to filter the posted-signal list by kind + eventType so the dual-emission contract is verifiable. 14 new tests cover the full state-transition matrix + payload shape + error-field population; total adapter test count 37 (up from 17). Verification: dotnet build AutopilotMonitor.sln clean; V2.Core test suite green (552 / 552, up from 538). 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.