Self-managed clusters on GCP VM instances

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 take the self-managed route, first create one or more VM instances in Compute Engine, GCP’s virtual machine service. You can do this in the GCP Console at https://console.cloud.google.com/compute/instancesAd

Then, set up and run a Kubernetes distribution of your choice. For this example, let’s use K3s, which is yet another easy-to-deploy Kubernetes distribution.

You can set up K3s by downloading and running an install script inside the VM instance:

curl -sfL https://get.k3s.io | sh -

As with the other clouds, you’ll need to repeat this process on any VM instances that you want to use as worker nodes.
Setting up Kubernetes on GKE