Oliver Kieselbach bba5761d14 refactor(v2): app_tracking_summary back to flat V1 schema
V2 had drifted to a renamed bucket schema (installedApps/failedApps/...)
plus nested perApp/byPhase. The nested objects were dead — no Web
component or rule consumed them — and the renamed counters needed a
fallback chain in every reader. Single flat schema is simpler:

- Builder rewritten to emit only the flat V1 keys: installed/failed/
  skipped/postponed (final), downloading/installing/pending (live),
  errorCount/deviceErrors/userErrors/hasErrors/isAllCompleted/
  ignoredCount (aggregate helpers), plus name lists per bucket
  (installedNames/failedNames/skippedNames/postponedNames/pendingNames).
  perApp + byPhase removed. The includePerAppDetail flag is gone — all
  emits ship the same shape (live snapshots stay cheap because the
  names lists are short strings, not per-app timing objects).

- ignoredCount needed a separate accessor: it lives on the live
  AppPackageStateList, not on the deduped phase-snapshot+live union
  used by the termination accessor. New ImeIgnoredCount property on
  DefaultComponentFactory + ignoredCountAccessor parameter on
  EnrollmentTerminationHandler.ctor (default () => 0 keeps existing
  test rigs unaffected).

- ANALYZE-APP-007.dataField back to errorCount (flat), dist regenerated.

- Web hooks (useSessionDerivedData, useProgressDerivedData) drop the
  V2 fallback chain — single-schema reads only.

- Tests rewritten for V1 schema: counter validation, device/user
  error split, hasErrors/isAllCompleted bool helpers, name-list
  population per bucket. EnrollmentTerminationHandlerTests collapsed
  the three V2-perApp tests into one V1-counts+split-errors test;
  per-app timing detail now lives only in FinalStatusBuilder /
  final-status.json, not in the event payload.

Per-transition emit cadence and ImmediateUpload=false on live
snapshots are unchanged from the previous commit.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 22:39:09 +02:00
2026-04-22 19:36:19 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-04-04 19:17:01 +02:00

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.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
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