lighthouse VS webpack-bundle-analyzer

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.

The website should score 80+ in performance, SEO, and accessibility in Google Lighthouse tests. Plus, the load time should always be less than 2 seconds and ideally in the order of a few hundreds of milliseconds. The real challenge lies here, since the website consists of more than 2 million pages, and pre-rendering them all will take weeks. Also, the content shown in most of the pages is not static. Thus, we opted for an incremental static regeneration approach. When a visitor hits a page no one ever visited, Next.js generates it with the data retrieved from the APIs exposed by the backend. Then, Next.js caches the page for 30 or 60 seconds, depending on the importance of the page.

Webpack Bundle Analyzer

npm run analyse - analyse bundle with webpack-bundle-analyzer

This was my question as well. The article does answer the question, but off the bat I'd assumed the author was talking about output/dist. The web treemap cli is a great tip. If you are using webpack, webpack-bundle-analyzer is a helpful tool for quickly finding bloated packages. It's definitely helped me cut down my build times: https://github.com/webpack-contrib/webpack-bundle-analyzer

Here are a few tipps where you could save some time: 1)check angular.json (configurations -> "your ci config") - look for buildOptimizer / optimization 2)If you run npm ci during your pipeline it might make sense to create the node modules folder beforehand, it seems to save time (https://github.com/npm/cli/issues/2011) 3)Use ng build --stats-json to analyze your build 4)Use https://github.com/webpack-contrib/webpack-bundle-analyzer (also works together with 3. ) 5)Check your package.json for unused dependencies 6)Check your imports, import only what is needed Hope this helps

- `npm run start` - Start the app - `npm run lint` - Lint the project - `npm run test` - Run unit tests - `npm run build` - Build the project - `npm run build:prod` - Build the project in production mode - `npm run build:prod:stats` - Build the project in product mode with stats - `npm run analyse` - Analyse bundle with [webpack-bundle-analyzer](https://github.com/webpack-contrib/webpack-bundle-analyzer) - `npm run compodoc` - Generate [compodoc](https://github.com/compodoc/compodoc) documentation - `npm run version` - Generate changelog - `npm run prettier` - Format the whole project - `npm run audit` - Audit this application using Sonatype OSS Index

4. Bundle Analyzer

npm run analyse - analyse bundle with webpack-bundle-analyzer

One of the first tools that I started using is webpack-bundle-analyzer. It generates a report of the output of your webpack build which visualises the filesize of your JavaScript files and what libraries are included in each file. Here is an example screenshot:

Let’s start by getting an understanding of all the code & dependencies that need to be sent to the browser, along with the memory size of each. Adding webpack-bundle-analyzer to your webpack configuration is the perfect starting point.

In our "old" build system - I configured webpack-bundle-analyze to inspect bundle chunks and understand what it made of. I added rollup-bundle-visualyzer instead (although there is an issue that the reported size is not correct).