Oliver Kieselbach
71eda93e8b
Second half of the terminal-only rate convention (follows 1cfc32c9, which
converted the enrollment success rates): app-install failureRate divided
by ALL install rows including "InProgress" ones — installs still running,
or orphaned when a session died mid-install — diluting every failure rate
customers see on the Apps dashboard and Fleet Health.
- New MetricsMath.TerminalFailureRatePct (Failed / (Failed + Succeeded),
0 when nothing finished) shared by both aggregation sites
- MetricsMath.BuildAppMetricsPayload: per-app failureRate terminal-based
(Fleet Health "Top Failing Apps"; subtitle now "% of N finished")
- AppsAnalyticsHelper: list, analytics summary, versionBreakdown,
timeSeries and deviceModelBreakdown rates terminal-based; the
duplicated trend block is deduplicated into ComputeFailureTrend, whose
rates and >= 5-sample gate now run on finished installs per half; the
device-model >= 5 sample floor likewise counts finished installs
- Web: InstallsTab "Avg Failure Rate" card computed over summed finished
installs instead of totalInstalls
Tests: new AppsAnalyticsFailureRateTests (list/trend/analytics/model
cases incl. in-flight dilution and gate regressions) and a terminal-rate
case in MetricsMathAppPayloadTests. Backend 3223/3223, tsc clean,
vitest 602/602.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
AutopilotMonitor
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 admin documentation is available at docs.autopilotmonitor.com
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.