Register Rancher Prime - RKE2
Steps to register Rancher Prime RKE2 Cluster in gopaddle
Last updated
Steps to register Rancher Prime RKE2 Cluster in gopaddle
Last updated
Rancher Prime RKE2 cluster can be registered in gopaddle either using its public IP address or a fully qualified domain name (FQDN) or securely via a Bastion Host or a Jump server.
Make sure port the cluster API server port (default 6443) is open to public.
Add Subject Alternative Names (SAN) on the RKE2 server TLS cert. If SAN does not exist for the API endpoint, add the below in the cluster configuration.
a) Login to the RKE2 master node.
b) Create/edit the file /etc/rancher/rke2/config.yaml file with the below configuration :
If you are using a config.yaml
file in a different folder, make sure the environment variable $RKE2_CONFIG_FILE
is set to the path of your custom config.yaml
file.
c) Restart the rke2-server service
d) Check the status of the rke2-server service and make sure it is in running state.
Copy /etc/rancher/rke2/rke2.yaml in to your local desktop as kube.config
Edit the server section in kube.config to point to the cluster API server public IP address or its FQDN.
Verify if Kubernetes configuration works.
Use this kube.config file to register the cluster in gopaddle.
In the gopaddle UI, navigate to the Clusters section
Click on Add a Cluster and select Register an existing Cluster
In the Cluster registration wizard, select the Cluster Access Method as Kube Config
Choose the Cluster Provider type as Other
In the Authentication Step, upload the Kubernetes config file gathered under section "Validate Connection from Local Desktop Environment"
If you have configured a bastion host, provide the Bastion Host IP, SSH Pem file, SSH port
If you are using a Bastion Host setup, make sure the Bastion Host IP and Port are accessible publicly. If you are looking for a private only setup, get in touch with us to explore gopaddle Enterprises.
Click on Finish to register the On-premises Cluster.
If you see the error - Network Error ! ServerError: Response not successful: Received status code 503, while view the cluster resources, then check this troubleshooting section for more information.