The past 6 months or so, I’ve been working more closely with Kubernetes in my day job. It’s had me interested in using it for my own personal projects. Though I’m going to keep things simple initially with minikube, this will be the start of what I hope will be an interesting and productive learning experience.

I’ve been working through a Linux networking course lately, and wanted to document some of the initial concepts that I found valuable. This post covers NAT, SSH, network interface inspection via the command line, and port forwarding, with a practical focus on getting SSH working inside a virtual machine (VM) environment.

In all my jobs- previous and current- I’ve been using Linux in one form or another, and I’ve grown to both enjoy and depend on it. For personal projects, I wanted to stick with that environment. My home machine runs macOS, however. To bridge the gap, I turned to UTM — a free, open-source virtualization and emulation tool for macOS. While UTM is a great option and alternative to Parallels, setting up a Linux VM with it does involve a bit of extra effort.

I will argue here that standardizing the formatting and styling of code on a team is not immaterial to building and deploying high quality software. Though I give examples using Python and GitHub Actions, the logic is applicable for any other language and CI/CD toolset.

I had a project recently where I created a private software package and hosted it on Azure Artifacts, a similar platform to Pypi or Github for distributing packages. There was a scenario where I needed to pass values from Azure Library into Docker.

During and shortly after my undergraduate education, I tried a few different career paths that didn’t work out. Eventually, I felt like GIS could be a way to continue using my environmental degree while pursuing a renewed interest in tech. This was very much true- with some caveats. To be successful in GIS, you should be able to code and have some knowledge in statistics. During my graduate education, I took as many computer science and programming-centric courses I could- and I still felt like there was much, much more to learn. But, it was enough to get me through the door.