It’s Christmas Eve. I hope everyone is having a good holiday season. I attended a conference in Nashville, Tennessee last week1 and got a little taste of American Christmas.

In this post, I’d like to share my current thoughts on what reinventing-the-wheel learning should look like in the age of AI, based on my experience actually trying it out.

This year, I once again participated in ISUCON14 as team MONOS with Saza and Moririn. We scored 6,659 points, placing 277th overall. Compared to last time (13th overall, 3rd among students), it was quite a disappointing result, but we had a fun day.

KubeVirt is a tool for managing VM infrastructure. With KubeVirt, you can manage VMs on Kubernetes in the same way as containers. I tried KubeVirt to easily spin up VMs at home, so I’ll share the method and my impressions.

At the after-party of Go Conference mini 2023 Winter IN KYOTO¹, sago35 gave me an sgkey micropad assembly kit. I had already been interested in custom keyboards, and sago35’s talk “Continued: The World of Custom Keyboards Made with TinyGo²” along with the live coding was so interesting that I decided to buy the necessary parts and have some fun with sgkey and TinyGo³.

I discovered opentelemetry-go-instrumentation, a library that enables automatic OpenTelemetry instrumentation for Go. It leverages eBPF. Let me walk through running and briefly examining this library.

Together with Saza and Moririn, we placed 3rd among student teams and 13th overall at ISUCON13 with a score of 111,625 points. Our team name was MONOS. It was my first time participating, while the other two had competed in the previous edition. I’ll jot down what we did in chronological order as a retrospective.