GSP051

Overview

In this lab, you learn how to set up a continuous delivery pipeline with Jenkins on Kubernetes engine. Jenkins is the go-to automation server used by developers who frequently integrate their code in a shared repository. The solution you build in this lab is similar to the following diagram:

In the Cloud Architecture Center, see Jenkins on Kubernetes Engine to learn more about running Jenkins on Kubernetes.

What you'll learn

In this lab, you complete the following tasks to learn about running Jenkins on Kubernetes:

• Provision a Jenkins application into a Kubernetes Engine cluster
• Set up your Jenkins application using Helm Package Manager
• Explore the features of a Jenkins application
• Create and exercise a Jenkins pipeline

Prerequisites

This is an advanced level lab. Before taking it, you should be comfortable with at least the basics of shell programming, Kubernetes, and Jenkins. Here are some labs that can get you up to speed:

• Introduction to Docker
• Hello Node Kubernetes
• Managing Deployments Using Kubernetes Engine
• Setting up Jenkins on Kubernetes Engine

Once you are prepared, scroll down to learn more about Kubernetes, Jenkins, and Continuous Delivery.

What is Kubernetes Engine?

Kubernetes Engine is Google Cloud's hosted version of Kubernetes - a powerful cluster manager and orchestration system for containers. Kubernetes is an open source project that can run on many different environments—from laptops to high-availability multi-node clusters; from virtual machines to bare metal. As mentioned before, Kubernetes apps are built on containers - these are lightweight applications bundled with all the necessary dependencies and libraries to run them. This underlying structure makes Kubernetes applications highly available, secure, and quick to deploy—an ideal framework for cloud developers.

What is Jenkins?

Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Jenkins allows developers to iterate quickly on projects without worrying about overhead issues that can stem from continuous delivery.

What is Continuous Delivery / Continuous Deployment?

When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment.

When your build process uses containers, one virtual host can run jobs on multiple operating systems. Kubernetes Engine provides ephemeral build executors—these are only utilized when builds are actively running, which leaves resources for other cluster tasks such as batch processing jobs. Another benefit of ephemeral build executors is speed—they launch in a matter of seconds.

Kubernetes Engine also comes pre-equipped with Google's global load balancer, which you can use to automate web traffic routing to your instance(s). The load balancer handles SSL termination and utilizes a global IP address that's configured with Google's backbone network—coupled with your web front, this load balancer always sets your users on the fastest possible path to an application instance.

Now that you've learned a little bit about Kubernetes, Jenkins, and how the two interact in a CD pipeline, it's time to go build one.

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 right is the Lab setup and access panel with the following:

   • The Open Google Cloud console button
   • The temporary credentials (username and password) that you must use for this lab
   • Other information, if needed, to step through this lab

   Note that the lab timer is located near the top of the page, showing the remaining time.

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 setup and access panel.

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 setup and access panel.

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. Download the source code

In this task, you download the source code for this lab.

1. To get set up, open a new session in Cloud Shell and run the following command to set your zone :

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

2. Then copy the lab's sample code:

gcloud storage cp gs://spls/gsp051/continuous-deployment-on-kubernetes.zip . unzip continuous-deployment-on-kubernetes.zip

3. Now change to the correct directory:

cd continuous-deployment-on-kubernetes

Task 2. Provision Jenkins

Create a Kubernetes cluster and enable Jenkins to access Google Cloud services and Google Artifact Registry.

Create a Kubernetes cluster

1. Now, run the following command to provision a Kubernetes cluster:

gcloud container clusters create jenkins-cd \ --num-nodes 2 \ --machine-type e2-standard-2 \ --scopes "https://www.googleapis.com/auth/source.read_write,cloud-platform"

This step can take up to several minutes to complete. The extra scopes enable Jenkins to access Google Cloud services and Google Artifact Registry.

Click Check my progress to verify your performed task. If you have successfully created a Kubernetes cluster, you see an assessment score.

Create a Kubernetes cluster (zone: )

2. Before continuing, confirm that your cluster is running by executing the following command:

gcloud container clusters list

Credential your cluster

1. Get the credentials for your cluster:

gcloud container clusters get-credentials jenkins-cd

2. Kubernetes Engine uses these credentials to access your newly provisioned cluster—confirm that you can connect to it by running the following command:

kubectl cluster-info

Task 3. Set up Helm

Helm is a package manager that makes it easy to configure and deploy Kubernetes applications. Once you install Jenkins, you can set up your CI/CD pipeline.

In this task, you use Helm to install Jenkins from the Charts repository.

1. Add Helm's stable chart repo:

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

2. Ensure the repo is up to date:

helm repo update

Task 4. Install and configure Jenkins

When installing Jenkins, a values file can be used as a template to provide values that are necessary for setup.

You use a custom values file to automatically configure your Kubernetes Cloud and add the following necessary plugins:

• Kubernetes:latest
• Workflow-multibranch:latest
• Git:latest
• Configuration-as-code:latest
• Google-oauth-plugin:latest
• Google-source-plugin:latest
• Google-storage-plugin:latest

This allows Jenkins to connect to your cluster and your Google Cloud project.

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

helm install cd jenkins/jenkins -f jenkins/values.yaml --wait

This command may take a couple minutes to complete.

Click Check my progress to verify your performed task. If you have successfully configured a Jenkins chart you see 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:

kubectl get pods

Example Output:

NAME READY STATUS RESTARTS AGE cd-jenkins-7c786475dd-vbhg4 2/2 Running 0 1m

3. Configure the Jenkins service account to be able to deploy to the cluster:

kubectl create clusterrolebinding jenkins-deploy --clusterrole=cluster-admin --serviceaccount=default:cd-jenkins

You should receive the following output:

clusterrolebinding.rbac.authorization.k8s.io/jenkins-deploy created

4. Run the following command to set up port forwarding to the Jenkins UI from Cloud Shell:

export POD_NAME=$(kubectl get pods --namespace default -l "app.kubernetes.io/component=jenkins-master" -l "app.kubernetes.io/instance=cd" -o jsonpath="{.items[0].metadata.name}") kubectl port-forward $POD_NAME 8080:8080 >> /dev/null &

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

kubectl get svc

Example Output:

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

You are using the Kubernetes Plugin so that the builder nodes are automatically launched as necessary when the Jenkins master requests them. Upon completion of their work, builder nodes automatically turn down and their resources are added back to the cluster's resource pool.

Notice that this service exposes ports 8080 and 50000 for any pods that match the selector. This exposes 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 5. Connect to Jenkins

Retrieve the admin password and log into the Jenkins interface.

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

printf $(kubectl get secret cd-jenkins -o jsonpath="{.data.jenkins-admin-password}" | base64 --decode);echo

2. To get to the Jenkins user interface, in the Cloud Shell action bar, click Web Preview () Preview on port 8080:

3. If asked, log in with username admin and your auto-generated password.

You now have Jenkins set up in your Kubernetes cluster! Jenkins drives your automated CI/CD pipelines in the next sections.

Task 6. Understand the application

In this task, you deploy the sample application, gceme, in your continuous deployment pipeline. The application is written in the Go language and is located in the repo's sample-app directory. When you run the gceme binary on a Compute Engine instance, the app displays the instance's metadata in an info card.

The application mimics a microservice by supporting two operation modes.

• In backend mode: gceme listens on port 8080 and returns Compute Engine instance metadata in JSON format.
• In frontend mode: gceme queries the backend gceme service and renders the resulting JSON in the user interface.

Task 7. Deploy the application

Deploy the application into two different environments:

• Production: The live site that your users access.
• Canary: A smaller-capacity site that receives only a percentage of your user traffic. Use this environment to validate your software with live traffic before it's released to all your users.

1. In Google Cloud Shell, navigate to the sample application directory:

cd sample-app

2. Create the Kubernetes namespace to logically isolate the deployment:

kubectl create ns production

3. Create the production and canary deployments, and the services using the kubectl apply commands:

kubectl apply -f k8s/production -n production kubectl apply -f k8s/canary -n production kubectl apply -f k8s/services -n production

Click Check my progress to verify your performed task. If you have successfully created deployments you see an assessment score.

Create the production and canary deployments

By default, only one replica of the frontend is deployed. Use the kubectl scale command to ensure that there are at least 4 replicas running at all times.

4. Scale up the production environment front ends by running the following command:

kubectl scale deployment gceme-frontend-production -n production --replicas 4

5. Now confirm that you have 5 pods running for the frontend, 4 for production traffic and 1 for canary releases (changes to the canary release affects only 1 out of 5 (20%) of users):

kubectl get pods -n production -l app=gceme -l role=frontend

6. Also confirm that you have 2 pods for the backend, 1 for production and 1 for canary:

kubectl get pods -n production -l app=gceme -l role=backend

7. Retrieve the external IP for the production services:

kubectl get service gceme-frontend -n production Note: It can take several minutes before you see the load balancer external IP address.

Example Output:

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE gceme-frontend LoadBalancer 10.79.241.131 104.196.110.46 80/TCP 5h

Paste External IP into a browser to see the info card displayed on a card—you should get a similar page:

8. Now, store the frontend service load balancer IP in an environment variable for use later:

export FRONTEND_SERVICE_IP=$(kubectl get -o jsonpath="{.status.loadBalancer.ingress[0].ip}" --namespace=production services gceme-frontend)

9. Confirm that both services are working by opening the frontend external IP address in your browser.

10. Check the version output of the service by running the following command (it should read 1.0.0):

curl http://$FRONTEND_SERVICE_IP/version

You have successfully deployed the sample application! Next, you set up a pipeline to deploy your changes continuously and reliably.

Task 8. Create the Jenkins pipeline

In this task, you set up a Git repository on your dedicated Git server and create the Jenkins pipeline:

• Push the sample application source code to the Git server
• Add your service account credentials to Jenkins
• Configure Jenkins Cloud for Kubernetes
• Create the Jenkins Multibranch Pipeline job

Push the sample app source code to the Git server

1. In Cloud Shell, retrieve the external IP address of your Git server:

export GIT_SERVER_IP=$(gcloud compute instances describe git-server --zone={{{project_0.default_zone}}} --format='get(networkInterfaces[0].accessConfigs[0].natIP)') echo "Git Server IP: ${GIT_SERVER_IP}"

2. Initialize the sample-app directory as a Git repository:

cd ~/continuous-deployment-on-kubernetes/sample-app git init git config --global user.email "student@qwiklabs.net" git config --global user.name "Student" git branch -m master

3. Add the remote repository pointing to your self-hosted Git server:

git remote add origin http://giteaadmin:GiteaPassword123@${GIT_SERVER_IP}:3000/giteaadmin/sample-app.git

4. Add, commit, and push the files to the master branch:

git add . git commit -m "Initial commit" git push -u origin master

Add your service account credentials

Configure your credentials to allow Jenkins to access the cluster and deploy resources.

1. In the Jenkins user interface, click Manage Jenkins in the left panel (or click the gear icon (⚙️) in the top navigation header).

Note: You may see several administrative warning banners at the top of the Manage Jenkins page (such as reverse proxy, unsecure setup, or empty URL warnings). You can safely ignore these banners for this lab and scroll down to the configuration sections.

2. Scroll down to the Security section and click Credentials.

3. Under Stores scoped to Jenkins, click System.

4. Click Global credentials (unrestricted).

5. Click Add Credentials.

6. For Kind, select Google Service Account from metadata and click Next.

7. Under the ID field, enter your Project ID () and click Create.

Note: Your `Project ID` can be found in the Connection Details panel of the lab.

The global credentials have been added.

Configure Jenkins Cloud for Kubernetes

1. In the Jenkins user interface, click Manage Jenkins, scroll down to the System Configuration section, and click Clouds.
2. Click New cloud.
3. Under Cloud name, type kubernetes, select Kubernetes for Type, and click Create.
4. In the Jenkins URL field, enter http://cd-jenkins:8080.
5. In the Jenkins tunnel field, enter cd-jenkins-agent:50000.
6. Click Save.

Create the Jenkins job

Navigate to your Jenkins user interface and follow these steps to configure a Multibranch Pipeline job:

1. Click Jenkins > New Item in the left panel.

2. Enter the item name sample-app, choose the Multibranch Pipeline option, and click OK.

3. On the next page, in the Branch Sources section, select Git from the Add source dropdown.

4. In the Project Repository field, enter the clone URL of your repository:

http://{{{project_0.startup_script.git_server_ip}}}:3000/giteaadmin/sample-app.git

5. Under Credentials, leave it set to - none -.

6. Under the Scan Multibranch Pipeline Triggers section, check the Periodically if not otherwise run box and set the Interval value to 1 minute.

7. Leave all other options at their defaults and click Save.

After you complete these steps, a job named Branch indexing runs. This meta-job identifies the branches in your repository and ensures changes haven't occurred in existing branches. If you click sample-app in the breadcrumb navigation, the master job should be seen.

Note: The first run of the master job might fail until you make a few code changes in the next step.

You have successfully created a Jenkins pipeline! Next, you create the development environment for continuous integration.

Task 9. Create the development environment

Development branches are a set of environments your developers use to test their code changes before submitting them for integration into the live site. These environments are scaled-down versions of your application, but need to be deployed using the same mechanisms as the live environment.

Create a development branch

To create a development environment from a feature branch, you can push the branch to the Git server and let Jenkins deploy your environment.

Note: If you are seeing errors in Cloud Shell, press CTRL+C and then execute the below command.

• Create a development branch and push it to the Git server:

git checkout -b new-feature

Modify the pipeline definition

The Jenkinsfile that defines that pipeline is written using the Jenkins Pipeline Groovy syntax. Using a Jenkinsfile allows an entire build pipeline to be expressed in a single file that lives alongside your source code. Pipelines support powerful features like parallelization and require manual user approval.

For the pipeline to work as expected, you need to modify the Jenkinsfile to set your project ID.

1. Open the Jenkinsfile in your terminal editor, for example vi:

vi Jenkinsfile

2. Start the editor:

i

3. Add your PROJECT_ID to the REPLACE_WITH_YOUR_PROJECT_ID value. (Your PROJECT_ID is your Project ID found in the CONNECTION DETAILS section of the lab. You can also run gcloud config get-value project to find it.

4. Change the value of CLUSTER_ZONE to . You can get this value by running gcloud config get compute/zone.

PROJECT = "REPLACE_WITH_YOUR_PROJECT_ID" APP_NAME = "gceme" FE_SVC_NAME = "${APP_NAME}-frontend" CLUSTER = "jenkins-cd" CLUSTER_ZONE = "{{{project_0.default_zone}}}" IMAGE_TAG = "gcr.io/${PROJECT}/${APP_NAME}:${env.BRANCH_NAME}.${env.BUILD_NUMBER}" JENKINS_CRED = "${PROJECT}"

5. Save the Jenkinsfile file: press ESC then (for vi users):

:wq

Modify the site

To demonstrate changing the application, you change the gceme cards from blue to orange.

1. Open html.go:

vi html.go

2. Start the editor:

i

3. Change the two instances of <div class="card blue"> with following:

<div class="card orange">

4. Save the html.go file: press ESC then:

:wq

5. Open main.go:

vi main.go

6. Start the editor:

i

7. The version is defined in this line:

const version string = "1.0.0"

Update it to the following:

const version string = "2.0.0"

8. Save the main.go file one more time: ESC then:

:wq

Task 10. Start deployment

In this task you deploy your development environment.

1. Commit and push your changes:

git add Jenkinsfile html.go main.go git commit -m "Version 2.0.0" git push origin new-feature

This starts a build of your development environment.

2. In the Jenkins user interface, navigate to the sample-app job:

   • Click Dashboard (or the Jenkins logo in the top left).
   • Click sample-app.
   • If the new-feature branch does not appear immediately under the Branches tab, click Scan Multibranch Pipeline Now in the left sidebar.

3. Click the new-feature branch link.

4. In the Build History section on the left, click the build number (for example, #1), then click Console Output in the left sidebar to view the live build logs.

5. Track the output of the build and watch for the kubectl --namespace=new-feature apply... messages. Once completed, your new-feature branch is deployed to your cluster.

Note: In a development scenario, you wouldn't use a public-facing load balancer. To help secure your application, you can use kubectl proxy. The proxy authenticates itself with the Kubernetes API and proxies requests from your local machine to the service in the cluster without exposing your service to the Internet.

6. Once the build completes, start the proxy in Cloud Shell:

kubectl proxy &

5. If it stalls, press CTRL+C to exit. Verify that your application is accessible by sending a request to localhost and letting kubectl proxy forward it to your service:

curl \ http://localhost:8001/api/v1/namespaces/new-feature/services/gceme-frontend:80/proxy/version

You should see it respond with 2.0.0, which is the version that is now running.

If you receive a similar error:

{ "kind": "Status", "apiVersion": "v1", "metadata": { }, "status": "Failure", "message": "no endpoints available for service \"gceme-frontend:80\"", "reason": "ServiceUnavailable", "code": 503

6. It means your frontend endpoint hasn't propagated yet—wait a little bit and try the curl command again. Move on when you get the following output:

2.0.0

You have set up the development environment! Next, build on what you learned in the previous module by deploying a canary release to test out a new feature.

Click Check my progress to verify your performed task. If you have successfully started the build for the new-feature branch, you see an assessment score.

Build for the new-feature branch

Task 11. Deploy a canary release

You have verified that your app is running the latest code in the development environment, so now deploy that code to the canary environment.

1. Create a canary branch and push it to the Git server:

git checkout -b canary git push origin canary

2. In Jenkins, you should see the canary pipeline has kicked off. Once complete, you can check the service URL to ensure your new version is serving some some of the traffic. You should see about 1 in 5 requests (in no particular order) returning version 2.0.0:

export FRONTEND_SERVICE_IP=$(kubectl get -o \ jsonpath="{.status.loadBalancer.ingress[0].ip}" --namespace=production services gceme-frontend) while true; do curl http://$FRONTEND_SERVICE_IP/version; sleep 1; done

3. If you keep seeing 1.0.0, try running the above commands again. Once you've verified that the above works, end the command with CTRL+C.

That's it! You have deployed a canary release. Next you deploy the new version to production.

Click Check my progress to verify your performed task. If you have successfully deployed the canary release, you see an assessment score.

Deploying a canary release

Task 12. Deploy to production

Now that our canary release was successful and we haven't heard any customer complaints, deploy to the rest of your production fleet.

1. Create a canary branch and push it to the Git server:

git checkout master git merge canary git push origin master

In Jenkins, you should see the master pipeline has kicked off.

Click Check my progress to verify your performed task. If you have successfully started the master pipeline, you see an assessment score.

Deploying to production

2. Once complete (which may take a few minutes), you can check the service URL to ensure your new version, 2.0.0 is serving all of the traffic.

export FRONTEND_SERVICE_IP=$(kubectl get -o \ jsonpath="{.status.loadBalancer.ingress[0].ip}" --namespace=production services gceme-frontend) while true; do curl http://$FRONTEND_SERVICE_IP/version; sleep 1; done

3. Once again, if you see instances of 1.0.0 try running the above commands again. To stop this command press CTRL+C.

Example output:

gcpstaging9854_student@qwiklabs-gcp-df93aba9e6ea114a:~/continuous-deployment-on-kubernetes/sample-app$ while true; do curl http://$FRONTEND_SERVICE_IP/version; sleep 1; done 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 ^C

You can also navigate to site on which the gceme application displays the info cards. The card color changed from blue to orange.

4. Here's the command again to get the external IP address. Paste the External IP into a new tab to see the info card displayed:

kubectl get service gceme-frontend -n production

Example output:

Task 13. 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.

You're done!

Awesome job, you have successfully deployed your application to production!

Congratulations!

This concludes this hands-on lab deploying and working with Jenkins in Kubernetes Engine to enable a Continuous Delivery / Continuous Deployment pipeline. You've had the opportunity to deploy a significant DevOps tool in Kubernetes Engine and configure it for production use. You've worked with the kubectl command-line tool and deployment configurations in YAML files, and have learned a bit about setting up Jenkins pipelines for a development / deployment process. With this practical hands-on experience you should feel comfortable applying these tools in your own DevOps shop.

Next steps / Learn more

• Read further on the Jenkins in Kubernetes Engine Solution.
• Learn how to use Jenkins to enable Continuous Delivery to Kubernetes Engine.
• Read further on DevOps Solutions and DevOps Guides in the Google Cloud documentation.
• Connect with the Jenkins Community!

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Manual Last Updated August 27, 2026

Lab Last Tested August 27, 2026

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