Oliver Kieselbach f1e89146cb feat(backend): M5.c.1 GET /api/sessions/{id}/signals — Inspector SignalLog read
First of three V2 Inspector read endpoints (Plan §M5). Returns the SignalLog
for a session — ordered by SessionSignalOrdinal, bounded by a caller-supplied
maxResults with a hard 5000 cap.

- ISignalRepository.QueryBySessionAsync added alongside the existing
  StoreBatchAsync. Uses Azure Tables filter on PartitionKey = {tenant}_{session};
  the D19(ordinal) RowKey padding means lex order already matches numeric
  order, so the explicit sort on return is a redundancy guard — cheap
  invariant check, not a real cost.
- TableSignalRepository.FromEntity — reverse mapping (entity → SignalRecord)
  that mirrors ToEntity, including TableStorageChunking.ReassembleProperty
  for oversized PayloadJson. Round-trip tested end-to-end.
- GetSessionSignalsFunction.Run — follows the same shape as
  GetSessionEventsFunction: RequestContext.TargetTenantId resolved by
  PolicyEnforcementMiddleware, Global-Admin cross-tenant fallback via
  SessionsIndex when the effective-tenant query comes up empty.
- ParseMaxResults extracted as a pure helper taking the raw query string
  (not HttpRequestData) so it's unit-testable without mocking the abstract
  Worker HttpRequestData class.
- Endpoint registered in EndpointAccessPolicyCatalog under MemberRead +
  TenantScoping.QueryParam (same policy as sessions/{id}/events). Without
  this the fail-closed catalog would reject the route with 403 — verified
  by the EndpointPolicyCatalogCompletenessTests.

9 new tests (614/614 backend green): ParseMaxResults defaults / garbage /
in-range / cap / negative / null query string (6), plus FromEntity
round-trip (simple payload + oversized-chunked payload).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-21 10:37:27 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-04-04 19:17:01 +02:00

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.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
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