lighthouse VS lighthouse-ci

There has been discussion about adding a visual indicator to make the mode more obvious, but it has not made it into Chrome devtools!

When we implemented the MVP of the fintech app, we had a quite complicated form. At that time, I was still young and inexperienced. And eventually, we realized that our project was slowing down. We had to spend additional hours figuring out the reason. We had many unnecessary re-renders because we ignored basic rules related to props in React. I wanted to do everything possible to avoid such situations in the future. So, I added to the project linters like this and an additional starting configuration to package.json to run why-did-you-render. In short, this plugin issues a warning if something is re-rendered unnecessarily and suggests how to avoid it. Also, we included running Lighthouse in headless mode. Some people say that premature optimizations are bad, but for me, it's a principle: do it right from the start.

There's a link to what they mean by mobile network there (https://github.com/GoogleChrome/lighthouse/blob/main/docs/throttling.md) and it says:

Here's the non-psuedo code equivalent that can leverage CompressionStream rather than using a browserified-gzip-library: https://github.com/GoogleChrome/lighthouse/blob/437eb4d757c5...

We use it in Lighthouse for the exact same purpose, a URL #hash full of state. We found that modern browsers support 10mb of data in the hash. https://github.com/GoogleChrome/lighthouse/pull/12509#discus...

You can find out if your SaaS app is slowing down with Google Chrome Lighthouse. Lighthouse should be a staple in your monitoring because it lets you see the performance, accessibility, and SEO metrics related to your app's performance.

[2] https://github.com/GoogleChrome/lighthouse/issues/10023#issu...

Lighthouse: A tool developed by Google to measure a website’s performance using an average of six metrics.

Performance Using Lighthouse as a measurement tool, the blog should score 100 on all criteria.

For implementation testing (e.g. WCAG 2.1 compliance, performance, best sec practices) there are checkers like webhint, lighthouse, and Pa11y.

This approach would suit most of the cases however to achieve more accurate performance audits you should be conducting Lighthouse tests on a dedicated server to avoid results being affected by the machine capabilities. In other words, if you are running Lighthouse audits on a repository where there are several pull requests/workflows/pushes going on, the result of this audit may not be accurate and this is what we want to avoid. For that you would need a separate machine with Lighthouse Server installed on it. So on a pull request you would trigger this machine to conduct a performance audit and return response to your repository.

TLDR; I use the Google Chrome Lighthouse CI with a .lighthouserc json configuration to test next start. The Lighthouse CI GitHub app is used to return a pass or fail status check in a PR.

You should also incorporate performance checks into your CI/CD pipeline. Use Lighthouse CI to run a synthetic Lighthouse test on each PR (PS: Learn why you shouldn't believe the Lighthouse score alone) and bundlesize package to raise alerts if your bundle size exceeds a certain threshold. For more nuanced data you should use WebPageTest.

You can also set up lighthouse-ci as a github action to evaluate the web vitals on push or in pull requests.

This name is already self-explanatory, and developers just need to run Lighthouse or its CI.

They also have a powerful CI tool (https://github.com/GoogleChrome/lighthouse-ci) with custom timelines, may look to implement it at some point

Lab data on demand and unattended. This version of Lighthouse is oriented to be integrated in a continuous integration workflow to check your metrics before deploying to production. However, you could also use it as command executed in a cron to check an environment performance over the time. I use the latter to check production performance each 12 hours, since there are third parties adding and removing dynamic content that could affect UX. Check its repo here

This approach would suit most of the cases however to achieve more accurate performance audits you should be conducting Lighthouse tests on a dedicated server to avoid results being affected by the machine capabilities. In other words, if you are running Lighthouse audits on a repository where there are several pull requests/workflows/pushes going on, the result of this audit may not be accurate and this is what we want to avoid. For that you would need a separate machine with Lighthouse Server installed on it. So on a pull request you would trigger this machine to conduct a performance audit and return response to your repository.

Lighthouse audits performance according to the core web vitals. Additionally, lighthouse can audit for Accessibility, Best Practices, Search Engine Optimization and whether your page is a Progressive Web App. You can also automate lighthouse audits via its API. Its a great tool to ensure your app is fast and does well with google search.

Lighthouse-CI: Automate running Lighthouse for every commit, viewing the changes, and preventing regressions.