Oliver Kieselbach 5ba4fb7dc9 feat(backend): retention/cleanup for previously-unbounded append-only tables
Several append-only tables had no purge mechanism and grew unbounded. Add
age-based retention to the 2h MaintenanceFunction (and the manual path) via a
new CleanupUnboundedTablesAsync orchestrator (per-table try/catch, fixed const
windows, mirroring the DistressReports pattern):

- GlobalNotifications + TenantNotifications: hybrid retention — dismissed rows
  pruned 30d after DismissedAt, any row pruned 180d after CreatedAt. Unread
  (still-actionable) admin warnings survive the dismiss window so they are never
  silently lost; the 180d catch-all bounds the table. Shared pure predicate
  NotificationRetentionFilter.BuildPredicate (unit-tested).
- HardwareRejectionNotificationTracker: 30d (FirstNotifiedAt). Pruning re-arms
  the lifetime dedup, so a model rejected again >30d later re-bells (intended).
- AuditLogs: 180d (system Timestamp, cross-partition).
- UsageMetrics: 180d (PartitionKey date-string range).
- BackupJobs: 365d (QueuedAtUtc).

PlatformStats intentionally excluded — it is a single upserted row, not
append-only. Bootstrap sessions left as-is (feature currently unused).

Each repo delete mirrors DeleteUserActivityOlderThanAsync: server-side
"X lt cutoff" filter + select PK/RK + delete loop. Deletes are resumable across
runs, so a partial run self-heals on the next cycle.

Observability: end-of-run MaintenanceLongRunning Warning OpsEvent if RunAllAsync
exceeds 10min, dual-registered in OpsAlertRulesSection.tsx, to surface a run
climbing toward the 60min functionTimeout before a future hard-abort (which
emits nothing).

Inert until backend redeploy; first post-deploy run bulk-prunes the backlog.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 17:11:28 +02:00
2026-06-13 16:10:14 +02:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00
2026-05-07 08:51:22 +02:00

Autopilot Monitor

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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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