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Use Cases · /// One Engine

Six use cases. One execution + validation engine.

From Citrix → AVD migration to CI/CD pipeline gates, every LoadGen use case runs on the same scenario engine, the same agents, and the same evidence trail. Pick the outcome — the platform composes the rest.

Use Cases › Hub
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Use Case Selector

Six use cases · one engine. Pick the outcome — see the measured before / after.

Use cases
6
all on one engine
Avg lead time
−92 %
across outcomes
Avg incident
−87 %
drop · before / after
Evidence
signed
every run · same trail
Use cases
Capacity Planning
Spreadsheets fail under spike load.
CAPACITY
/use-cases/capacity-planning
Sign-off
14 d2 h
−94 %
Breakages
3.20.4
−87 %
Confidence
38 %92 %
+54 pt
Blocked eng
61
−83 %
FeaturesWizardSUT MonitoringSyncAlerting
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Same engine. Six surfaces.

Every use case runs on one engine.

The wizard, the agent fleet, the live cockpit, the comparison view, the alert engine, and the audit log are the same code paths regardless of whether you’re proving an SLA or gating a CI deploy. Use cases compose — they don’t fragment.

"Six playbooks · one platform. Buy the engine once; apply it to whichever outcome the next quarter calls for."

Same scenario engine
Wizard-authored scenarios drive load tests, monitoring, uptime, and SLA validation alike — no per-use-case re-build.
Same agent fleet
Core / Full / VDI agents serve every use case. One install, every workload — web, desktop, AVD, Horizon, Citrix, RDS.
Same comparison view
5-test overlay, percentile metrics, and AI-flagged anomalies are shared across migration, capacity, SLA, and pipeline gates.
Same evidence trail
Every run signs into the same audit log — read it for SLA, for migration sign-off, for pipeline post-mortems, for tenant reports.

Universal Loop

Model · Execute · Validate · Improve.

The four motions every LoadGen use case shares — applied to whatever outcome the next release demands.

Model

Author scenarios, profiles, contracts, or pipelines visually — no scripts. Same engine across every use case.

Execute

Run on the same launchers, with the same agents, against the same target platforms. Phase-aware, schedule-aware, CI-callable.

Validate

Compare against baselines and contracts. Pass / fail per gate, percentile-first, signed into an audit trail.

Improve

AI-flagged regressions and recommendations route into the next iteration. Use cases compound — they don’t fragment.

One platform. Pick the outcome.

Start the trial. Run your first scenario. Use the same install for the next five outcomes that come down the roadmap.

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