Plurrrr

Python is not the fastest programming language. So when you need to process a large amount of homogeneous data quickly, you’re told to rely on “vectorization.”

This leads to more questions:

• What does “vectorization” actually mean?
• When does it apply?
• How does vectorization actually make code faster?

To answer that question, we’ll consider interesting performance metrics, learn some useful facts about how CPUs work, and discover that NumPy developers are working hard to make your code faster.

As of late I have had some pain points with iocage, which I used since I started using FreeBSD in 2017. I came from an Ubuntu with LXD + ZFS background and iocage had the command line interface I wanted that felt familiar with LXD at the time.

Well, iocage seems dead now. Its last release was in 2019 and its last commit (at the time of writing this) was September 30, 2021. Of course, that commit isn’t in what’s in FreeBSD ports, unless you use the devel package..and, that package has some issues (for me, iocage list doesn’t work right).

Because of this, I decided to take up the challenge of making my own base jails.

Pot is a jail abstraction framework/management tool that aims to replace Docker in your DevOps tool chest and it has support for using Nomad for orchestration of clustered services. The team behind Pot are aiming to provide modern container infrastructure on top of FreeBSD and have been progressing over the last 3 years to get Pot into production.

The Pot project was started in 2018 with the ambitious goal of taking the best things from Linux container management and creating a new container model based on FreeBSD technologies, running on FreeBSD.