We are going to see that compared to previous articles, this is super easy to create a Kubernetes cluster with IBM Cloud. The wealth of Kubernetes resources can make it difficult to find the basics. An easy way to simplify Kubernetes development and make it easy to deploy is to use solutions such as IBM Cloud Kubernetes Services. In order to create a machine learning application that deploys to the IBM Cloud Kubernetes Service, we need an IBM Cloud account (sign up for a free account),,) IBM Cloud CLI, Docker CLI, Kubernetes CLI.

Create Kubernetes service on IBM Cloud

The Kubernetes service on IBM Cloud provides two cluster types:

• a free cluster (one worker pool with a single virtual-shared worker node with 2 cores, 4GB RAM, and 100GB SAN)

• a fully customizable standard cluster (virtual-shared, virtual-dedicated, or bare metal) for the heavy lifting.

If we just want to explore, the free cluster is great.

In IBM Cloud, with few clicks, we can automatically create a Kubernetes service. First, we need to connect to our IBM Cloud Dashboard.

We go to IBM Kubernetes Service, click on create clusters, type in a name for our cluster, depending on our account (paid or free), we can select the appropriate cluster type (in our case we will just create a worker node with 2 vCPUs and 4 Go of RAM), and after a few minutes, the cluster is created.

#docker #kubernetes