Oliver Kieselbach
eeaa0643a2
Groundwork for the V2 ingest path (/api/agent/telemetry). Adds the two primary Decision-Engine tables projected from the agent-side SignalLog and Journal so the Inspector + Reducer-Verifier can replay sessions. - Constants.TableNames: Signals, DecisionTransitions (+ All[] init). - Shared DTOs SignalRecord / DecisionTransitionRecord carry a flat projection plus the agent-serialised PayloadJson for full fidelity. DecisionTransitionRecord eagerly carries index discriminators (IsTerminal, ClassifierVerdictId, ClassifierHypothesisLevel) so the later index fan-out can read them straight off the primary row. - ISignalRepository / IDecisionTransitionRepository: lean interfaces (StoreBatchAsync only — queries land with the read endpoints in M5.c). - TableSignalRepository / TableDecisionTransitionRepository: idempotent UpsertReplace via entity-group-transactions, grouped per (tenant, session), chunked at the 100-op Azure limit. PayloadJson goes through TableStorageChunking so the 32K-char property ceiling can't bite on large Evidence + Payload blobs. - Registered in DataAccessServiceExtensions alongside the existing 13 Table repositories — Cosmos swap remains a single-file change. - 11 pure mapping tests cover key builders (PK tenant_session, RK D19(ordinal) / D10(stepIndex), lex-ordering invariant), full entity projection, chunked PayloadJson handling, dead-end paths, and null-payload tolerance. Index tables (SessionsByTerminal, SessionsByStage, DeadEndsByReason, ClassifierVerdictsByIdLevel, SignalsByKind) land with the queue-driven fan-out in M5.b; the primary schemas are stable. Co-Authored-By: Claude Opus 4.7 (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.