Self-managed clusters on Azure Virtual Machines

ARTIFACTORY: Running Kubernetes on AWS, Azure and GCP

AuthorFullName__c
JFrog Support
articleNumber
000005277
ft:sourceType
Salesforce
FirstPublishedDate
2022-05-18T11:51:41Z
lastModifiedDate
2023-01-22T11:06:08Z
VersionNumber
2
To use the former approach, you’ll need to create virtual machine instances using the Azure Virtual Machines service. Again, in most cases your instances should be Linux-based. You can create instances in the Azure portal at https://portal.azure.com.

Then, log into the instance that you want to use as your master node and install Kubernetes on it. As with Kubernetes on EC2, you can use whichever distribution you wish. To use MicroK8s as an example, you’d simply run:

sudo snap install microk8s --classic

to start the cluster. 
 
(You’d likely want to run additional commands to turn on important cluster features; see the MicroK8s documentation for details.) Repeat the process to set up worker nodes.