--- 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. --- [Skip to content](https://qventis.ai/engines/performance#main) [![qventis](https://qventis.ai/hubfs/raw_assets/public/qventis-one/images/qventis-logo.svg)![qventis](https://qventis.ai/hubfs/raw_assets/public/qventis-one/images/qventis-logo-reverse.svg)](https://qventis.ai/?hsLang=en) - Platform [**Qventis Engine**The core of the platform. 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Response-time budgets are steps too, compiled once and run with zero AI tokens. [Book a demo](https://qventis.ai/contact#demo)[See Qventis One](https://qventis.ai/one?hsLang=en) - No second script - Budgets anyone can read - 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. ### Scenarios that follow the app When a screen changes and its functional test is updated, the load 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 the journeys drive the load. - 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? Rarely. You add the load profile and the budget as steps to a journey you already have. 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) Get the brief [![qventis](https://qventis.ai/hubfs/raw_assets/public/qventis-one/images/qventis-logo.svg)![qventis](https://qventis.ai/hubfs/raw_assets/public/qventis-one/images/qventis-logo-reverse.svg)](https://qventis.ai/?hsLang=en) [Support](https://qventis.ai/support?hsLang=en)[Trust](https://qventis.ai/platform/trust?hsLang=en)[Privacy and terms](https://qventis.ai/legal?hsLang=en)Contact © 2026 qventis.aiThird-party product names are trademarks of their respective owners.