Oliver Kieselbach
e637317bdb
Insights expansion PR1 (tasks/insights-expansion-spec.md §F1, audit §0.5): - AppInstallSummary + AppId / EspBlocking (bool?, tri-state) / AppIdCollision: sentinel-gated columns + mapper + both projections. appId adopted from app events (first-seen wins); a second appId under the same display name flags the name-keyed row as a collision (audit Q3) — in-batch and cross-batch (sticky in the reconcile). Collision rows leave every per-app fleet aggregate (app metrics payload, apps list, app analytics) with a disclosed exclusion count; the fleet DO rollup and per-app session drill-down keep them. - EspBlocking resolution at the session-terminal single-writer seam (TableSessionRepository.UpdateSessionStatusAsync, next to the counter reconcile — covers ingest, admin marks, maintenance sweep, rule engine): joins the session's app rows against the LATEST list-carrying esp_config_detected emission as a positive-evidence set (audit Q2) — listed => true, absent => stays unknown, never false. EspBlockingSets parser handles truncation via the uncapped espTracked*Count fields. - TimeAttributionCalculator (pure, AttributionVersion 1) + SessionTimeBreakdown models: exact partition of the session's authoritative DurationSeconds into device_prep / esp_apps / identity_hello / user_esp / desktop_handoff spans plus an explicit unattributed remainder — invariant sum(spans)+unattributed == wall clock enforced in every test. WhiteGlove = two observation windows in ONE session (part1 anchored on whiteglove_part1_complete, pause never attributed). Per-app blocking intervals from EVENT timestamps (first start -> LAST terminal, audit Q1 retry freeze), occupancy = merged union clipped to esp_apps. Reboot spans from event gaps around lastBootUtc (audit Q7), deduped per boot. QualityFlags: ClockSkewDropped, PartialObservation, BlockingSetUnknown, BlockingSetTruncated, WhiteGloveAnchorsIncomplete. Persistence (SessionTimeBreakdowns) and surfaces follow in PR2/PR3. Backend 3368/3368 (35 new tests: 19 calculator golden fixtures + 16 identity/blocking/aggregate-exclusion), solution build clean, web untouched (new response fields are additive). 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.