Oliver Kieselbach
b5fad16eae
The agent never sent X-Correlation-ID, so the backend's CorrelationIdMiddleware minted a fresh id per inbound request — meaning a single logical upload that fans out into multiple backend executions could not be tied back together (the blocker that left the IngestTelemetry request-multiplication question unanswerable). Wire up the correlation the infra was designed for: - BackendTelemetryUploader: generate a unique X-Correlation-ID per upload (per attempt, so a retry is a distinct traceable request) and log `corr=` on every outcome line (flushing/OK/TRANSIENT/TIMEOUT/NETWORK/PERMANENT). - BackendApiClient.AddSecurityHeaders: same per-request id for register/config/ diag/error, with a Debug line carrying corr + path. Payoff: `requests | where name=='IngestTelemetry' | summarize count() by tostring(customDimensions.CorrelationId)` now gives the per-request multiplication factor deterministically (1 = clean, N = multiplied). Test: updated the uploader logging assertion to the new `ingest OK (corr=` + `items=N` format. Full V2.Core suite 1266/1266 green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Autopilot Monitor
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.