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AVD · /// End-to-End Monitoring

Know your AVD users are happy. Before the Azure invoice arrives.

LoadGen runs the same scenario engine in continuous mode. Synthetic AVD sessions on a configurable schedule, real-user DEM via SessionSight, and uptime checks across HTTP, REST, Azure Function, Azure App Service, DNS, and more. All on one timeline.

Synthetic + real-user DEMOne timeline, one cockpit€899 / Agent / month

Live cockpit. KPI freshness, session health, time-range scrub.

The Problem

Azure portal green. AVD users angry.

AVD monitoring is split across tools: Azure Monitor shows compute health, Microsoft DEX shows session metrics, your APM shows app health. None of them log in as a user and click, which is where AVD sessions actually break.

Three Microsoft tools, three blind spots.

Azure Monitor reports compute health. Microsoft DEX reports session metrics. Neither runs a synthetic AVD user end-to-end.

A 200 OK is not a working session.

A healthy infrastructure check does not mean a user can actually open an application. The components that break first hide behind real user interactions, not green health pages.

No evidence-grade Service Levels.

Finance wants availability and per-step latency to defend the Azure budget. Hand-curated dashboard screenshots don’t survive a quarterly review.

Why LoadGen for AVD monitoring

One timeline. Synthetic, real-user, and uptime.

The same scenario engine that drives your AVD capacity tests runs continuously as a synthetic user. SessionSight captures the real-user side. Uptime checks watch the dependencies. One platform, one cockpit, one audit trail.

AVD-aware synthetic users

Real AVD sessions fired on a configurable schedule. Same scenario shape as load testing, not HTTP samplers pretending to be AVD clients.

SessionSight DEM on the same timeline

Heatmaps, DOM-fidelity replay, and visitor journeys correlated against synthetic checks. One scrub bar, one root-cause path. Capture-time DOM masking with Strict, Balanced (default), and Relaxed modes; fail-closed defaults; per-element overrides.

Evidence-grade Service Levels

Every synthetic check, real-user session, and uptime event lands in a queryable history. Service Levels reports generate on demand for Azure-spend defence, not in a quarterly spreadsheet sprint.

Guided setup

An AVD monitoring profile, captured in 10 steps.

The same wizard that powers /products/monitoring. Configuration captured once, replayed every synthetic check, on a configurable schedule, across every region you deploy Core agents.

  • 10 named steps: Name, Target, Agents, Workload, Datasource, Schedule, SUT, Alerting, Summary.
  • AVD target-environment selection inline: Tenant, Client, Resource, with a Classic/ARM toggle.
  • Same scenario captured here is reusable for AVD load testing. One engine, two operational modes.
  • Synthetic sessions fire on schedule. Results land in the live cockpit with per-step latency and generic p95.

10-step monitoring profile wizard. Autoplay, pause on hover.

Real-user DEM

SessionSight catches what synthetic checks can’t.

Synthetic monitoring tells you the application responded. SessionSight tells you the AVD user actually clicked. Heatmaps, journey analysis, and DOM-fidelity replay on the same timeline as your synthetic AVD probes.

  • Click and scroll heatmaps with intensity bands across desktop, tablet, and mobile.
  • Desktop, tablet, and mobile viewport switching with separate calibrated thresholds.
  • Deep-filter by country, browser, OS, device, and UTM. Production support workflow.
  • Correlated against synthetic check and uptime events on a single scrub bar.

SessionSight heatmaps. Click and scroll modes.

Proof

Numbers from the platform.

250M+

Monitoring sessions

across the customer base

8

Products, one platform

testing + monitoring + analytics + service levels

6

Platforms covered

Citrix · AVD · Horizon · RDS · Web · FAT

From €899

Per Agent / month

published, predictable pricing

See it in action

Three AVD monitoring surfaces on one platform.

Live cockpit

KPIs, sessions table, time-range scrub.

DEM heatmaps

Click and scroll overlays.

Session replay

Slideshow and DOM-fidelity playback with event log.

See AVD monitoring on your own subscription.

We’ll wire a synthetic AVD user against your environment, layer real-user DEM via SessionSight, and walk you through Service Levels reporting on a call.

Questions

Frequently asked.

How is this different from Microsoft DEX and AVD Insights?

Azure-native tools report AVD infrastructure state and aggregate session metrics. LoadGen runs an actual AVD user end-to-end on a configurable schedule, with generic p95 captured per step. It correlates that synthetic timeline with real-user DEM (SessionSight) and uptime checks against dependencies. Microsoft tools show infrastructure; LoadGen shows experience.

Can a single Agent monitor multiple AVD host pools?

Yes. One Core agent typically covers one AVD subscription or host-pool stack. Scaling is per-environment, not per-user.

How does AVD monitoring correlate with infrastructure health?

SUT Monitoring binds generic Windows performance counters to every synthetic check. Infrastructure health and measured user experience share one timeline. No separate dashboard hop.

What does AVD end-to-end monitoring cost?

€899 per Agent per month, with annual subscriptions including two months free. One Agent typically covers one AVD subscription or host-pool stack. SessionSight DEM and Service Levels are quoted separately.

How fast can we set up a synthetic AVD user?

The 10-step monitoring wizard captures the AVD configuration once: Tenant, Client, Resource, with a Classic/ARM toggle. From then on the synthetic session fires on its configured schedule without additional setup.

What proof of Service Levels compliance can we hand to an auditor?

Every synthetic execution, real-user session, and uptime event is captured in queryable history. Every action is written to a plain JSONL audit log with 30-day retention and purge. LoadGen Insight surfaces availability and per-step p95. The underlying data exports to PDF or JSON for evidence-grade responses.

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