Use case

Browser load testing

See how LoadStrike uses Playwright and Selenium browser journeys inside a transaction-aware load testing model.

Browser load testing diagram
Explain how browser journeys fit into LoadStrike scenarios and reporting.
Direct answer

When should browser journeys be in the load test?

Browser journeys belong in the load test when the user-visible workflow is part of the business outcome you actually need to validate. That includes flows where rendering, navigation, client waits, and downstream side effects shape whether the transaction felt complete under load.

LoadStrike documents Playwright and Selenium support for that model. Browser steps can live in the same scenario and report surface as API, queue, stream, and downstream service stages instead of being split into a separate tooling story.

The user problem

The browser is part of the workflow that matters, so backend-only timings leave out the path the user actually experiences.

Why it matters

Rendering delays, navigation waits, and downstream side effects triggered by the page flow can change whether the transaction felt complete under load.

Best-fit workloads

Where this workload usually needs transaction visibility

Checkout and payment flows

Keep the UI journey and the backend confirmation in the same report.

Onboarding and approval journeys

Measure multi-step browser paths that trigger async work after the user action.

Operational UI scenarios

Compare front-end waits with the API and service work they trigger behind the scenes.

Who this is for

Teams validating checkout, onboarding, approval, search, or operational UI journeys that still need to be read as part of a broader transaction.

Why endpoint-only testing breaks down here

API-only tests can show healthy ingress timings while the real browser path slows down because of rendering delays, waits, navigation issues, or downstream dependencies triggered by the page flow.

How LoadStrike fits

LoadStrike publishes browser/runtime docs for Playwright and Selenium and keeps those browser-driven stages inside the same scenario, threshold, and report model used for API and event-driven testing.

What to expect

Verified LoadStrike fit points

  • Public documentation covers both Playwright and Selenium browser/runtime support.
  • Browser steps can be named and measured as part of the same scenario.
  • Reports stay in the same HTML, CSV, TXT, and Markdown formats used elsewhere.
  • The runtime still works in self-hosted clustered execution where the environment includes the required browser dependencies.
Resources

Docs and examples

Start with the browser/runtime pages that already show how Playwright and Selenium fit into the product surface.

Common questions

Common questions

Does LoadStrike document Playwright support?

Yes. The site includes a Playwright UI load guide that explains how Playwright-driven browser work fits into the same transaction-aware scenario model.

Does LoadStrike also document Selenium support?

Yes. The site also includes a Selenium UI load guide so teams can see the same browser-journey model with Selenium WebDriver.

Why keep browser work inside the same runtime?

Because the meaningful performance question is often the full workflow. Keeping browser steps in the same runtime makes it easier to compare front-end timing with API, queue, and downstream completion behavior in one report.

Related

Related documentation

Start with the implementation details that match this page.

Playwright UI Load Guide

Use this guide when Playwright browser journeys should run inside the same LoadStrike scenario and reporting model.

Selenium UI Load Guide

Use this guide when Selenium browser journeys should run inside the same LoadStrike transaction and reporting model.

Report Overview

This page explains how to read a LoadStrike report. Use it when you want to know what each section means and where to look first.

Related

Related comparisons

Use these comparison pages if you still need a tool-level decision.

LoadStrike vs k6

Compare LoadStrike and k6 across code ergonomics, protocol scope, downstream correlation, reporting depth, browser workflows, and distributed self-hosted execution.

LoadStrike vs Locust

Compare LoadStrike and Locust across code-first ergonomics, event-driven workflows, correlation reporting, extensibility, reporting, and self-hosted operations.

Related

Related integrations

Connect the run output to the observability backend your team already uses.

LoadStrike and Datadog

See how the LoadStrike Datadog sink fits into transaction-aware, self-hosted load testing workflows.

Related

Next steps

Keep moving with the most relevant follow-up pages.

Examples

Open the docs and sample-reference entry points that help browser-heavy teams start faster.

Next step

Next step

Start with the browser runtime your team already trusts, then decide how much of the journey should stay inside the same transaction-aware report.