Oliver Kieselbach bcd307d8a4 perf(backend): project index scans + bound AppInstall reads to window
Two classes of read-efficiency fixes on hot/aggregation paths. No response
shape or value changes — DTOs untouched, all 2541 backend tests pass.

P2 — select projections on full-mirror SessionsIndex scans (bandwidth only):
- GetMetricsSummaryAsync: cross-partition status tally now projects
  [PartitionKey, Status] instead of the ~40-column mirror row (incl. the
  large FailureSnapshotJson) -> ~10-20x less transfer.
- QuickSearchSessionsAsync: typeahead scan projects only the matched fields
  (+ RowKey for the SessionId fallback) instead of the full row, for up to
  QuickSearchMaxScannedRows rows per request.

P3 — push the existing sinceUtc window floor server-side at 8 AppInstall
call sites across 5 files (previously each dematerialized the whole table /
partition and filtered to the window in memory):
- UsageMetricsService (global + tenant): now.AddDays(-days)
- MaintenanceService.Aggregation (global + tenant, per aggregated day): targetDate
- SlaBreachEvaluationService (current ISO week): now.AddDays(-8) margin
- SlaMetricsService: startDate (matches the in-memory lower bound exactly)
- Get(Global)GeographicLocationSessionsFunction: cutoff

Each floor equals the session-window floor the apps are joined against
(app.StartedAt >= session.StartedAt >= floor), so results are unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 16:16:03 +02:00
2026-06-13 16:10:14 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-05-07 08:51:22 +02:00

Autopilot Monitor

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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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