Vegard S. Hagen

Kubernetes RBAC configuration can seem like a daunting task at first. In this article we will try to demystify some of the mechanism behind the authorisation process in Kubernetes and learn how to generate our own credentials to communicate with the Kubernetes API server.

Traditionally, an ideal Kubernetes workload should be stateless, meaning it should be able to run anywhere and scale freely, though this also severely limits which kinds of applications we can run, i.e. stateful applications.

SREDay London 2024 together with the day-0 TalosCon1 just finished, and I’m happy I got to attend! I first heard about TalosCon during KubeCon + CloudNativeCon in Paris earlier this year, which also gave me the final push to actually try Talos.

Talos is an immutable operating system designed to only run Kubernetes. The advantage of Talos is an out-of-the-box Kubernetes install, as well as a smaller attack surface, and easier maintenance.

If you plan to run stateful applications in your Kubernetes cluster, you quickly run into the question of where to store this state. A database is often the best solution, though writing to disk is sometimes the only — or at least easier, option.

Taking advantage of hardware acceleration can drastically reduce both CPU and power usage when playing video, enabling seemingly innocuous chips — like the Intel N100, to render multiple 4K video streams.

In this article we’ll take a look at how to proxy external services through the Kubernetes Gateway API. There are of course more lightweight methods to proxy services, but once you already have the proverbial hammer, why not treat everything like a nail?

In my previous article we took a look at how to bootstrap K3s with Cilium starting from a fresh Debian 12 network installation.

Getting started with Kubernetes might seem like a daunting task at first, but getting a basic ephemeral cluster up and running with tools like minikube, kind, or k3d is quite straightforward if you follow their documentation.

With the LLM era upon us, I’ve been wanting to play around with some of the open source, self-hosted toys available. I’m using an old workstation as a homelab, which conveniently has an old NVIDIA GPU installed. Seeing as I’m running a Kubernetes cluster I want to expose the GPU to the workloads to utilise the existing infrastructure for easy hosting, scheduling, and deployment of GPU assisted applications.