squoosh VS Chocolatey

Squoosh: A webpage that allows you to quickly optimize images for your blog.

One of the most complete image compressor out there, squoosh.app by Google, uses web assembly for decoding/encoding images and it works pretty well.

First off you want to shrink your images. Every mb your page is the more it will hurt your score. I use https://squoosh.app/

https://squoosh.app/

Having a quick look at squoosh, it uses lossy compression of webp by default.

Size images appropriately (https://squoosh.app/ can be used for this). Ideally, the size of the image should be kept below 100 KB.

if your images a large file size, remove them from the page, reduce file size, and place new reduced file size images in their place - publish the site to bring the new pics live - clear your cache - go the page and test it (good tool to reduce image file size is Google Squoosh - https://squoosh.app/ )

I'm just exporting normally from Figma, but then using squoosh.app (browser based) to adjust quality/compression and even for making sure png files are optimized for prod.

Hey I see your friend made a clan, but this guy found a workaround here if you still need it. I just used https://squoosh.app/ to basically save a new copy of the image and that worked

Chocolatey Windows software management solution, we use this for installing Python and Deno

Authenticating with Kyma is a (in my opinion) unnecessary challenge as it leverages the OIDC-login plugin for kubectl. You find a description of the setup here. This works fine when on a Mac but can give you some headaches on a Windows and on Linux machine especially when combined with restrictive setups in corporate environments. For Windows I can only recommend installing krew via chocolatey and then install the OIDC plugin via kubectl krew install oidc-login. At least for me that was the only way to get this working on Windows.

On a Windows machine, you can use Chocolatey by running the command.

I've used WSL2 and GHC/Nix--worked without any issues. However, there is Chocolatey: https://chocolatey.org/

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.

Type the following commands on the Windows terminal to install helm. You can use either Scoop a command-line installer for Windows or Chocolatey which is a Package Manager for Windows to install helm.

Für Software ninite.com und chocolatey.org

While you can install it in many ways, the easiest is using a package manager like Homebrew for macOS or chocolatey for Windows.