---
title: Performance engine | Qventis One
description: Performance budgets written as plain-English checks, run on the journeys your functional tests already cover, with results beside functional evidence.
---

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[Qventis One](https://qventis.ai/one?hsLang=en)/Engines/Performance

Performance engine

# Load test without writing a second script

Your functional journeys become load scenarios, with response-time budgets written as plain-English checks. Anyone can see which screen got slower.

[Book a demo](https://qventis.ai/contact#demo)[See Qventis One](https://qventis.ai/one?hsLang=en)

- Reuses your functional journeys
- Budgets as readable checks
- Slow screens named, not guessed

**Checkout holds under load**Performance, 4 steps

1. Use the 'Guest checkout' journey from the App Model
2. Repeat it for '500 users' ramping up over 5 minutes
3. Check that 'Checkout' responds within '800 ms' at p95
4. Check that the error rate stays below '1%'

## A budget is a sentence

### Pass or fail, plainly

Targets that used to sit in a spreadsheet become steps, reviewed like any other and checked every release.

### No second script

Load scenarios reuse your functional journeys. When a screen changes and the test is updated, the scenario follows.

### Trend by screen

Each run is compared with the last baseline, so you see which screen got slower and by how much.

## How the performance engine works

BudgetsResponse time, errors, load profile

Reused journeysFunctional tests drive the load

Release rhythmEvery build, nightly, before release

One model, one paneSame screens, one results view

### What a budget states

Everything a scenario needs is in the steps, so anyone can read it without opening a load tool.

- Percentile response-time targets per screen or API call
- An error-rate threshold, so a fast page that returns errors fails
- Users, ramp-up and duration written in the step

[See the functional engine](https://qventis.ai/engines/functional?hsLang=en)

### Load from journeys you have

Load scripts usually get written twice, by two teams, and break first when the app changes. Here they come from your functional journeys.

- Journeys drive the load at volume
- Each virtual user draws its own record from a test data pool
- Simulated services keep third-party charges out of load runs

[See the test data engine](https://qventis.ai/engines/test-data?hsLang=en)

### Small often, large before release

The same steps scale from a quick smoke check to a full peak scenario.

- Every build: a light budget on key journeys catches a slower screen
- Nightly: full journeys at expected peak, with the weekly trend
- Before release: peak and soak runs feed the go decision

[Run from your pipeline](https://qventis.ai/platform/integrations?hsLang=en)

### A slow screen, by name

A slow "Checkout" is the same "Checkout" your functional and accessibility checks cover in the [App Model](https://qventis.ai/one/app-model?hsLang=en).

- Scenarios pick up journeys and screens from the shared model
- Results land in [Quality View](https://qventis.ai/one/quality-view?hsLang=en) beside functional evidence
- A failed budget is one more input to a go decision, with a human sign-off

[Explore Quality View](https://qventis.ai/one/quality-view?hsLang=en)

## Questions

Do I still write load scripts?

Most scenarios come from functional journeys you already have. You add the load profile and the budget as steps.

Does a run call an AI model?

No. Steps compile once into deterministic code, so a load run adds no AI cost.

Who reads a performance result?

Anyone. A product owner can see which screen missed its target without opening a load tool.

## Find your slowest screen before users do

Bring one journey and a target, and leave with it running as a load check.

[Book a demo](https://qventis.ai/contact#demo)

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Qventis One is the autonomous quality platform from qventis.ai. Learn your app once. See every kind of quality in one place. Change nothing without your approval.

[contact@qventis.ai](mailto:contact@qventis.ai)

## Platform

- [Qventis One](https://qventis.ai/one?hsLang=en)
- [Qventis Engine](https://qventis.ai/engine?hsLang=en)
- [App Model](https://qventis.ai/one/app-model?hsLang=en)
- [Quality View](https://qventis.ai/one/quality-view?hsLang=en)
- [Studio](https://qventis.ai/platform/studio?hsLang=en)
- [Agent gateway](https://qventis.ai/platform/agent-gateway?hsLang=en)
- [Editions](https://qventis.ai/editions?hsLang=en)

## Engines

- [Functional](https://qventis.ai/engines/functional?hsLang=en)
- [Performance](https://qventis.ai/engines/performance?hsLang=en)
- [Security](https://qventis.ai/engines/security?hsLang=en)
- [Service virtualization](https://qventis.ai/engines/virtualization?hsLang=en)
- [Test data](https://qventis.ai/engines/test-data?hsLang=en)
- [Data & ETL](https://qventis.ai/engines/data-etl?hsLang=en)
- [Visual](https://qventis.ai/engines/visual?hsLang=en)
- [Accessibility](https://qventis.ai/engines/accessibility?hsLang=en)

## Solutions

- [Enterprise platforms](https://qventis.ai/platforms?hsLang=en)
- [Industries](https://qventis.ai/industries?hsLang=en)
- [Legacy desktop](https://qventis.ai/solutions/legacy-desktop?hsLang=en)
- [Release testing](https://qventis.ai/solutions/release-testing?hsLang=en)
- [Quality CoE](https://qventis.ai/solutions/quality-coe?hsLang=en)

## Company

- [About](https://qventis.ai/about?hsLang=en)
- [Customers](https://qventis.ai/customers?hsLang=en)
- [Blog](https://qventis.ai/blog?hsLang=en)
- [Trust center](https://qventis.ai/platform/trust?hsLang=en)
- [Contact](https://qventis.ai/contact?hsLang=en)
- [Legal](https://qventis.ai/legal?hsLang=en)

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