Oliver Kieselbach c6227f546f feat: add agent self-metrics collector and platform metrics page
Add AgentSelfMetricsCollector that measures the agent's own CPU, memory,
threads, handles, and HTTP network traffic (bytes up/down, latency,
request count) with zero overhead — no WMI, no PerformanceCounters,
just Process properties and lock-free Interlocked counters.

NetworkMetrics tracks all BackendApiClient HTTP calls via Stopwatch and
byte counting in finally blocks. The collector emits agent_metrics_snapshot
events (Severity.Debug) through the existing spool/upload pipeline.

Add Galactic Admin-only /platform-metrics page that aggregates agent
footprint data across sessions with CPU/memory/network assessment badges,
per-session breakdowns, and agent version distribution.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 01:11:20 +01:00
2026-02-10 02:37:31 +01:00
2026-02-23 22:06:03 +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%