GSP117

In this hands-on lab, you'll learn how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

Objectives

• Creating a Kubernetes cluster with Kubernetes Engine.
• Creating a Jenkins deployment and services.
• Connecting to Jenkins.

Setup and requirements

Before you click the Start Lab button

Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.

This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.

To complete this lab, you need:

• Access to a standard internet browser (Chrome browser recommended).

Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.

• Time to complete the lab—remember, once you start, you cannot pause a lab.

Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.

How to start your lab and sign in to the Google Cloud console

1. Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method. On the left is the Lab Details pane with the following:

   • The Open Google Cloud console button
   • Time remaining
   • The temporary credentials that you must use for this lab
   • Other information, if needed, to step through this lab

2. Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).

   The lab spins up resources, and then opens another tab that shows the Sign in page.

   Tip: Arrange the tabs in separate windows, side-by-side.

   Note: If you see the Choose an account dialog, click Use Another Account.

3. If necessary, copy the Username below and paste it into the Sign in dialog.

   {{{user_0.username | "Username"}}}

   You can also find the Username in the Lab Details pane.

4. Click Next.

5. Copy the Password below and paste it into the Welcome dialog.

   {{{user_0.password | "Password"}}}

   You can also find the Password in the Lab Details pane.

6. Click Next.

   Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials. Note: Using your own Google Cloud account for this lab may incur extra charges.

7. Click through the subsequent pages:

   • Accept the terms and conditions.
   • Do not add recovery options or two-factor authentication (because this is a temporary account).
   • Do not sign up for free trials.

After a few moments, the Google Cloud console opens in this tab.

Note: To access Google Cloud products and services, click the Navigation menu or type the service or product name in the Search field.

Activate Cloud Shell

Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.

1. Click Activate Cloud Shell at the top of the Google Cloud console.

2. Click through the following windows:

   • Continue through the Cloud Shell information window.
   • Authorize Cloud Shell to use your credentials to make Google Cloud API calls.

When you are connected, you are already authenticated, and the project is set to your Project_ID, . The output contains a line that declares the Project_ID for this session:

Your Cloud Platform project in this session is set to {{{project_0.project_id | "PROJECT_ID"}}}

gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.

3. (Optional) You can list the active account name with this command:

gcloud auth list

4. Click Authorize.

Output:

ACTIVE: * ACCOUNT: {{{user_0.username | "ACCOUNT"}}} To set the active account, run: $ gcloud config set account `ACCOUNT`

5. (Optional) You can list the project ID with this command:

gcloud config list project

Output:

[core] project = {{{project_0.project_id | "PROJECT_ID"}}} Note: For full documentation of gcloud, in Google Cloud, refer to the gcloud CLI overview guide.

Task 1. Prepare the environment

First, you'll prepare your deployment environment and download a sample application.

1. Set the default Compute Engine zone to :

gcloud config set compute/zone {{{project_0.default_zone}}}

2. Clone the sample code:

git clone https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes.git

3. Navigate to the sample code directory:

cd continuous-deployment-on-kubernetes

Creating a Kubernetes cluster

Now you'll use the Kubernetes Engine to create and manage your Kubernetes cluster.

1. Next, provision a Kubernetes cluster using Kubernetes Engine. This step can take several minutes to complete:

gcloud container clusters create jenkins-cd \ --num-nodes 2 \ --scopes "https://www.googleapis.com/auth/projecthosting,cloud-platform"

The extra scopes enable Jenkins to access Artifact Registry.

Test completed task

Click Check my progress to verify your performed task. If you have completed the task successfully you will granted with an assessment score.

Create a Kubernetes cluster (zone: )

2. Confirm that your cluster is running:

gcloud container clusters list

Example Output:

Look for RUNNING in the STATUS column:

NAME LOCATION MASTER_VERSION MASTER_IP MACHINE_TYPE NODE_VERSION NUM_NODES STATUS jenkins-cd {{{project_0.default_zone}}} 1.9.7-gke.3 35.237.126.84 e2-medium 1.9.7-gke.3 2 RUNNING

3. Get the credentials for your cluster. Kubernetes Engine uses these credentials to access your newly provisioned cluster.

gcloud container clusters get-credentials jenkins-cd

4. Confirm that you can connect to your cluster:

kubectl cluster-info

Example output: If the cluster is running, the URLs of where your Kubernetes components are accessible display:

Kubernetes master is running at https://130.211.178.38 GLBCDefaultBackend is running at https://130.211.178.38/api/v1/proxy/namespaces/kube-system/services/default-http-backend Heapster is running at https://130.211.178.38/api/v1/proxy/namespaces/kube-system/services/heapster KubeDNS is running at https://130.211.178.38/api/v1/proxy/namespaces/kube-system/services/kube-dns kubernetes-dashboard is running at https://130.211.178.38/api/v1/proxy/namespaces/kube-system/services/kubernetes-dashboard

Task 2. Configure Helm

In this lab, you will use Helm to install Jenkins from the Charts repository. Helm is a package manager that makes it easy to configure and deploy Kubernetes applications. Your Cloud Shell will already have a recent, stable version of Helm pre-installed.

If curious, you can run helm version in Cloud Shell to check which version you are using and also ensure that Helm is installed.

1. Add Helm's jenkins chart repository:

helm repo add jenkins https://charts.jenkins.io

2. Update the repo to ensure you get the latest list of charts:

helm repo update

Task 3. Configure and install Jenkins

You will use a custom values file to add the Google Cloud specific plugin necessary to use service account credentials to reach Source Repository.

1. Use the Helm CLI to deploy the chart with your configuration set:

helm upgrade --install -f jenkins/values.yaml myjenkins jenkins/jenkins

Test completed task

Click Check my progress to verify your performed task. If you have completed the task successfully you will granted with an assessment score.

Configure and Install Jenkins

2. Once that command completes ensure the Jenkins pod goes to the Running state and the container is in the READY state. This may take about 2 minutes:

kubectl get pods

Example output:

NAME READY STATUS RESTARTS AGE myjenkins-0 2/2 Running 0 1m

3. Run the following command to setup port forwarding to the Jenkins UI from the Cloud Shell:

echo http://127.0.0.1:8080 kubectl --namespace default port-forward svc/myjenkins 8080:8080 >> /dev/null &

4. Now, check that the Jenkins Service was created properly:

kubectl get svc

Example output:

NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE myjenkins 10.35.249.67 8080/TCP 3h myjenkins-agent 10.35.248.1 50000/TCP 3h kubernetes 10.35.240.1 443/TCP 9h

We are using the Kubernetes Plugin so that our builder nodes will be automatically launched as necessary when the Jenkins master requests them. Upon completion of their work, they will automatically be turned down and their resources added back to the clusters resource pool.

Notice that this service exposes ports 8080 and 50000 for any pods that match the selector. This will expose the Jenkins web UI and builder/agent registration ports within the Kubernetes cluster.

Additionally, the jenkins-ui service is exposed using a ClusterIP so that it is not accessible from outside the cluster.

Task 4. Connect to Jenkins

1. The Jenkins chart will automatically create an admin password for you. To retrieve it, run:

kubectl exec --namespace default -it svc/myjenkins -c jenkins -- /bin/cat /run/secrets/additional/chart-admin-password && echo

2. To get to the Jenkins user interface, click on the Web Preview button in cloud shell, then click Preview on port 8080:

3. You should now be able to log in with the username admin and your auto-generated password.

You may also be automatically logged in as well.

You now have Jenkins set up in your Kubernetes cluster!

Test your understanding

Below are multiple-choice questions to reinforce your understanding of this lab's concepts. Answer them to the best of your abilities.

Congratulations!

Next steps / learn more

Here are some follow-up steps :

• Learn more about Jenkins on Kubernetes Engine best practices.
• Learn about how to configure Jenkins for Kubernetes Engine.
• Learn about how to set up continuous deployment to Kubernetes Engine using Jenkins.

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Manual Last Updated November 05, 2024

Lab Last Tested November 05, 2024

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