Oliver Kieselbach 074013b2e1 fix race condition causing backend call failures on dashboard and session detail
TenantContext starts with a 'deadbeef' placeholder ID and updates asynchronously
once AuthContext finishes loading. Dashboard and session detail pages were firing
their initial API fetches before the real tenantId was available, causing backend
calls with the wrong tenant ID and resulting in failures.

Added guard in both pages to skip the fetch until tenantId is no longer the
default placeholder. Also added tenantId and galacticAdminMode to the session
detail useEffect dependencies so the fetch retries automatically once the real
ID arrives.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-25 12:19:09 +01:00
2026-02-10 02:37:31 +01:00
2026-02-23 22:06:03 +01:00
2026-02-16 20:49:43 +01:00
2026-02-24 11:50:31 +01:00
2026-02-05 06:14:41 +01:00
2026-02-05 06:14:41 +01:00
2026-02-05 06:14:41 +01:00
2026-02-24 11:50:31 +01:00

Autopilot Monitor

Advanced monitoring and troubleshooting solution for Windows Autopilot deployments.

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

MIT License — see LICENSE for 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%