Oliver Kieselbach
e97ca57602
P2: hoist dedupeSynonymConcepts out of scoreEvent's per-event hot loop — it is query-invariant but was recomputed (with Set/Map allocs) for every fetched event (up to ~3200 per search_events call). Compute once per query and pass in; standalone callers (tests) keep the old self-computing path. P3: cosineSimilarity -> dot product. All embeddings are L2-normalized at creation (embed()/index() use normalize:true; precomputed index built via the same path), so the norm denominator is 1 — the two norms + sqrts + divide per document per query were wasted work. P7: precompute the ~130-type event catalog's word splits once at module load instead of re-splitting every type on every keyword in the two full-catalog scans (candidate selection + specificity) run per query. P4: switch the stateless transport to enableJsonResponse and add the compression middleware. This server emits no notifications, so SSE buys nothing; JSON responses let gzip safely compress large tool results (measured 5-30x, sub-ms CPU at level 6, skipped under the 1KB threshold). Pretty-print kept — gzip removes the indentation overhead on the wire. tsc clean; 329 vitest passed. 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.