Answer

Running Performance Tests with Playwright

First, you need to understand what you're trying to measure and optimize. Identify key user scenarios and define realistic load profiles that simulate expected traffic patterns. Tools like Apache JMeter or Gatling can help generate load against your application.

Next, create Playwright scripts that simulate user interactions with your application. Include appropriate wait times between actions to simulate realistic user behavior. Here's an example:

import { test } from '@playwright/test';

test('performance test', async ({ page }) => {
  await page.goto('https://ray.run/');
  // simulate user interactions here
});

To run the performance tests, use the npx playwright test command with the --metrics flag. This outputs detailed metrics data for each page visited during the test run.

npx playwright test --metrics

After running your tests, analyze the collected metrics data using tools like Google Lighthouse or WebPageTest. These tools provide insights into various aspects of page performance such as loading speed, time-to-interactive (TTI), and first contentful paint (FCP).

By analyzing these metrics data, you can identify areas where your application may be underperforming and take steps to optimize its performance. For more insights on performance testing with Playwright, check out this blog post.