Exposing Kubernetes services to the Internet securely using Cloudflare tunnels and a dedicated Ingress controller.

Part two of the quest to deliver AI applications on-demand from Kubernetes. In this one, we’ll deploy a typical AI application, and configure it to scale up (and down to zero) on demand.

Extending my Kubernetes cluster with a GPU/CUDA node to deliver on-demand AI applications

Notes on integrating a local LLM with JetBrains IDEA IDEs

Using a genuine multi-modal AI model to generate photo captions gives a huge leap in quality over my previous efforts.

Playing with contemporary machine-learning models can demand hardware with a pretty hefty pricetag. Modal lets you do it in the cloud with a much more reasonable pricing model than the big Cloud Compute providers.

Fixing an annoying little bug when running NextCloud behind CloudFlare

Rumours of Java’s death may be greatly exaggerated, but an article I read had some good reasons why it might be searching for the exit… I have one more to add to the list.

I don’t know if you’ve noticed, but search engines got a lot less useful lately…

Dynamically changing the configuration of Alacritty depending on shell conditions