From the course: Deploying Scalable Machine Learning for Data Science
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Creating a Kubernetes cluster
From the course: Deploying Scalable Machine Learning for Data Science
Creating a Kubernetes cluster
- [Instructor] Usually a Kubernetes cluster is run by an infrastructure team, not a group of data scientists or machine learning engineers. Without going into the low level implementation details, we'll take a look at some basic Kubernete tasks so you can understand the basic operations of a Kubernetes cluster. For example, we use a stand-alone version of Kubernetes called Minikube. Minikube can be downloaded from the Kubernetes websites. Instructions for installing Minikube are available at the URL shown on the screen. Now, you'll also need some other components installed on your computer. Specifically, a virtual machine. Now on Linux you can use VirtualBox or KVM. If you're working with a Mac, the MacOS supports VirtualBox or VMWare Fusion, or HyperKit. And if you're in a Windows environment you can use VirtualBox or Hyper-V. And then you'll also need to download Kubectl, which is a command-line tool available at the URL shown on the screen. Now, the installation is different for…
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