booster VS cfn-diagram

People should stop using plain passwords to protect data and switch to something better.oster/ + Yubikey

Change from mkinitcpio to booster. It's faster and produce smaller images.

Neither, use booster.

Booster is an initramfs - a type of software that runs early during the boot process and helps to setup system, e.g. perform disk unlock, load extra drivers, setup ZFS filesystem, and so on.

I don't have high hopes that this will change in mkinitcpio, but perhaps you could bring it up with booster (which copied the mkinitcpio hooks and removal scripts)

This is my personal preference, but consider switching to booster.

initramfs: booster - TPM2 support, way faster than mkinitcpio, autodiscovering root partition

Note I'm using booster, so assuming you're using the default mkinitcpio you probably want /boot/initramfs-linux.img. Also, don't forget to modify if your ESP isn't mounted at /boot like mine.

Booster initramfs generator supports TPM, Yubikey and Network binding so you can easily protect your data using the strategy you want.

GPT table detection has higher priority at booster code. But for some reason it does not identify your partition table as GPT. Filed a github bug for it https://github.com/anatol/booster/issues/119

What do you think, is it worth writing a patch for cfn-diagrams to create these links automatically?

{ "week": [ { "Id": "16", "AWS-Services": [ "AWS CloudFormation", "AWS CloudTrail", "AWS Config", "Amazon CloudFront", "AWS Cost Explorer", "AWS Lambda", "AWS Key Management Service", "Amazon Athena" ], "Languages": [ "Python", "nodejs", ], "Tools": [ { "name": "ORGTOOL", "github": "https://github.com/daknhh/aws-orgtool" }, { "name": "cfn-python-lint", "github": "https://github.com/aws-cloudformation/cfn-python-lint" }, { "name": "cfn-diagram", "github": "https://github.com/mhlabs/cfn-diagram" }, { "name": "Taskfile", "github": "https://github.com/Wildhoney/Taskfile" } ], } ] }

cfn-diagram how many times have you wished you could take your CloudFormation YAML or JSON and then visualise it? When this open source tool provides a CLI as well as integration into tools like VSCode that help visualise CloudFormation templates as draw.io diagrams. Very nice Lars Jacobsson and the MatHem tech team. There is also the experimental cfn-diagram-ci which you can have a look at as well.