https://www.rushtehrani.com/ Recent content on Rush Tehrani Hugo -- gohugo.io en-us hello@rushtehrani.com (Rush Tehrani) hello@rushtehrani.com (Rush Tehrani) Wed, 14 Dec 2016 12:00:00 -0800 https://www.rushtehrani.com/post/using-kubernetes-api/ Wed, 14 Dec 2016 12:00:00 -0800 hello@rushtehrani.com (Rush Tehrani) https://www.rushtehrani.com/post/using-kubernetes-api/ Note: This post was updated to use the latest stable Kubernetes Go client as of 12/14/2016. As a continuation to the previous post, let’s now look at using Kubernetes’ API to create a simple Pod and Service to expose a Docker container running a Jupyter notebook server. We will be using Kubernetes’ Go client, so let’s get started by getting the package: go get -u k8s.io/client-go/ Once the package downloads, we need to add the relevant import paths in our main. https://www.rushtehrani.com/post/kubernetes-on-google-container-engine/ Sat, 30 Jul 2016 09:21:30 -0700 hello@rushtehrani.com (Rush Tehrani) https://www.rushtehrani.com/post/kubernetes-on-google-container-engine/ This is a quick walkthrough to show you how to spin up a very small Kubernetes cluster on Google Cloud Platform (GCE) and then get access to the Kubernetes REST API. Before you get started, you need to sign-in to Google Cloud Platform console and create a new project. If you don’t already have a Google Account, you can create one. First, you need to download GCE’s command line interface gcloud. https://www.rushtehrani.com/post/running-jupyter-notebooks-on-docker/ Sat, 01 Aug 2015 14:16:49 -0700 hello@rushtehrani.com (Rush Tehrani) https://www.rushtehrani.com/post/running-jupyter-notebooks-on-docker/ A simple and quick way to get Jupyter notebooks up and running quickly is to run them on Docker. If you don’t already have Docker installed, take a look at the installation guide for your platform. Once you have Docker installed, head over to the docker-stacks to get a few opinionated ready-to-run Jupyter applications in Docker. For the most part, it’s as easy as opening the README file in one of the directories in that repository and following its instructions.