Oliver Kieselbach
49fe4460e4
Codex follow-up: the previous middleware comment claimed a deterministic limit+1 block, but McpQuotaService caches the per-user decision for 60s - an allowed decision keeps admitting inside that window even after the async increments cross the limit. The soft boundary IS the intended design (bounded overshoot ~TTL x request rate per instance, same posture as the sliding-window rate limiter; one counter read per user per minute instead of per request). - Middleware doc rewritten: check-then-increment fixes the race/inflation, but the boundary is explicitly documented as SOFT with bounded overshoot; warns against re-documenting as exact without reworking the decision cache. - Two regression tests pin the contract: cached allowed decision keeps admitting within the TTL even after counters cross the limit (no storage re-read), and after cache expiry (simulated via eviction) the over-limit counters block. Backend 2658/2658 green.
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 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.