Oliver Kieselbach 5b808f08de perf(apps): projected app-install scans behind one query core + progress UX for the apps surface
Third slice of the metrics-performance pass (after e63a0bc2 usage, 86f5b507
geo): the app endpoints ran unprojected full-column AppInstallSummaries
window scans behind the web app's default 30s fetch timeout.

Backend:
- All AppInstallSummaries scans (full, geo, app-metrics, apps-dashboard)
  now delegate to one private QueryAppInstallSummariesAsync core so filter
  semantics stay in lockstep
- New projections: AppMetricsProjection for metrics/app + global (ranking
  inputs, failure code and the DO counters) and AppsDashboardProjection for
  the App Dashboard list/analytics/sessions endpoints (drops the whole DO
  telemetry block, which those aggregations never read)
- AppsAnalyticsHelper.LoadSummariesAsync and both app-metrics functions
  switched to the projected variants
- AppsProjectionEquivalenceTests pins both projections, incl. the
  TenantId-from-PartitionKey fallback for legacy rows

Web:
- CalculatingInline: compact in-place variant of the calculating card
  (shared progress bar + elapsed caption extracted)
- Apps installs tab and the app detail page (analytics + sessions fetches)
  use 180s AbortSignals and show inline progress while aggregating

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-11 12:43:16 +02:00
2026-07-10 15:53:32 +02:00
2026-03-26 07:02:33 +01:00
2026-07-06 20:53:00 +02:00

AutopilotMonitor

Status License Website

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.
Readme AGPL-3.0 60 MiB
Languages
C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%