Kube AI Hub DevOps System

The Kube AI Hub DevOps System is designed for CI/CD workflows in Kubernetes. Based on Jenkins, it provides one-stop solutions to help both development and Ops teams build, test and publish apps to Kubernetes in a straight-forward way. It also features plugin management, Binary-to-Image (B2I), Source-to-Image (S2I), code dependency caching, code quality analysis, pipeline logging, and more.

The DevOps System offers an automated environment for users as apps can be automatically released to the same platform. It is also compatible with third-party private image registries (for example, Harbor) and code repositories (for example, GitLab/GitHub/SVN/BitBucket). As such, it creates excellent user experience by providing users with comprehensive, visualized CI/CD pipelines which are extremely useful in air-gapped environments.

For more information, see DevOps User Guide.

Enable DevOps Before Installation

Installing on Linux

When you implement multi-node installation of Kube AI Hub on Linux, you need to create a configuration file, which lists all Kube AI Hub components.

1. In the tutorial of Installing Kube AI Hub on Linux, you create a default file config-sample.yaml. Modify the file by running the following command:

   vi config-sample.yaml
   

   Note

   If you adopt All-in-One Installation, you do not need to create a config-sample.yaml file as you can create a cluster directly. Generally, the all-in-one mode is for users who are new to Kube AI Hub and look to get familiar with the system. If you want to enable DevOps in this mode (for example, for testing purposes), refer to the following section to see how DevOps can be installed after installation.

2. In this file, search for devops and change false to true for enabled. Save the file after you finish.

   devops:
     enabled: true # Change "false" to "true".
   

3. Create a cluster using the configuration file:

   ./kk create cluster -f config-sample.yaml
   

Installing on Kubernetes

As you install Kube AI Hub on Kubernetes, you can enable Kube AI Hub DevOps first in the cluster-configuration.yaml file.

1. Download the file cluster-configuration.yaml and edit it.

   vi cluster-configuration.yaml
   

2. In this local cluster-configuration.yaml file, search for devops and enable DevOps by changing false to true for enabled. Save the file after you finish.

   devops:
     enabled: true # Change "false" to "true".
   

3. Run the following commands to start installation:

   kubectl apply -f https://github.com/kubesphere/ks-installer/releases/download/v3.4.1/kubesphere-installer.yaml
   
   kubectl apply -f cluster-configuration.yaml
   

Enable DevOps After Installation

1. Log in to the console as admin. Click Platform in the upper-left corner and select Cluster Management.

2. Click CRDs and enter clusterconfiguration in the search bar. Click the result to view its detail page.

   Info

   A Custom Resource Definition (CRD) allows users to create a new type of resources without adding another API server. They can use these resources like any other native Kubernetes objects.

3. In Custom Resources, click on the right of ks-installer and select Edit YAML.

4. In this YAML file, search for devops and change false to true for enabled. After you finish, click OK in the lower-right corner to save the configuration.

   devops:
     enabled: true # Change "false" to "true".
   

5. Use the web kubectl to check the installation process by running the following command:

   kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f
   

   Note

   You can find the web kubectl tool by clicking in the lower-right corner of the console.

Verify the Installation of the Component

kubectl get pod -n kubesphere-devops-system

NAME                          READY   STATUS    RESTARTS   AGE
devops-jenkins-5cbbfbb975-hjnll   1/1     Running   0          40m
s2ioperator-0                 1/1     Running   0          41m