August 14, 2022

NVIDIA GPU Operator - Easy Button for K8s GPU Nodes

The NVIDIA GPU Operator is a K8s-based operator that manages the drivers for nodes in the cluster that are equipped with an NVIDIA GPU. This greatly reduces operational overhead in managing packages on each node. In terms of cloud deployments, this will allow engineers to reuse the same image across GPU-enabled and non-GPU node pools. This guide is a condensed version of the official NVIDIA documentation found here. Please visit use the documentation for additional information.

May 21, 2022

Homelab Networking

Exposing the home network network to the wide open internet can be a scary thing. But even with a basic home network setup, it can be done in a relatively secure manner. This post will cover setting up CloudFlare to manage your DNS and loadbalancer. Note that it will be using CloudFlare loadbalancers which requires a subscription of at least $5/month. There are other providers that can offer the same service but (imho) CloudFlare includes a lot of features as well as cloud-native integrations.

May 21, 2022

Homelab K8s with GPU Nodes

If you happen to have a computer that has a GPU, I highly recommend incorporating it into your homelab! As with most things, settings things up can vary from environment to environment. I have listed the components I am personally using. If any one of them aligns with your setup, I hope the guide below can help with the installation. Setup: K3s Cluster NVIDIA GPU (Worked with 20 and 30 series) Ubuntu 20.

May 19, 2022

DigitalOcean Challenge

Digital Ocean Kubernetes Challenge 2021 My submission to Digital Ocean’s 2021 Kubernetes Challenge. The repository can be found here. Attempted Challenge: Deploy a machine learning management platform List of Tasks Performed: Deploy Infrastructure on Digital Ocean Deploy Kubeflow and access it Prerequisites terraform and terragrunt direnv kubectl flux K9s (optional) AWS S3 Credentials and Bucket name to use as the Terraform Backend.