Cloud Run is a managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. Cloud Run is serverless: it abstracts away all infrastructure management, so you can focus on what matters most — building great applications.

Cloud Run is built from Knative, letting you choose to run your containers either fully managed with Cloud Run, or in your Google Kubernetes Engine cluster with Cloud Run on GKE.

The goal of this codelab is for you to setup Cloud Run on a GKE cluster and deploy a container as a service.

Self-paced environment setup

If you don't already have a Google Account (Gmail or Google Apps), you must create one. Sign-in to Google Cloud Platform console (console.cloud.google.com) and create a new project:

Screenshot from 2016-02-10 12:45:26.png

Remember the project ID, a unique name across all Google Cloud projects (the name above has already been taken and will not work for you, sorry!). It will be referred to later in this codelab as PROJECT_ID.

Next, you'll need to enable billing in the Cloud Console in order to use Google Cloud resources.

Running through this codelab shouldn't cost you more than a few dollars, but it could be more if you decide to use more resources or if you leave them running (see "cleanup" section at the end of this document).

New users of Google Cloud Platform are eligible for a $300 free trial.

Google Cloud Shell

While Google Cloud can be operated remotely from your laptop, in this codelab we will be using Google Cloud Shell, a command line environment running in the Cloud.

This Debian-based virtual machine is loaded with all the development tools you'll need. It offers a persistent 5GB home directory, and runs on the Google Cloud, greatly enhancing network performance and authentication. This means that all you will need for this codelab is a browser (yes, it works on a Chromebook).

To activate Google Cloud Shell, from the developer console simply click the button on the top right-hand side (it should only take a few moments to provision and connect to the environment):

activateCloudShell.png

Then accept the terms of service and click the "Start Cloud Shell" link:

x.png

Screen Shot 2017-06-14 at 10.13.43 PM.png

Once connected to the cloud shell, you should see that you are already authenticated and that the project is already set to your PROJECT_ID :

gcloud auth list

Command output

Credentialed accounts:
 - <myaccount>@<mydomain>.com (active)
gcloud config list project

Command output

[core]
project = <PROJECT_ID>

If for some reason the project is not set, simply issue the following command :

gcloud config set project <PROJECT_ID>

Looking for your PROJECT_ID? Check out what ID you used in the setup steps or look it up in the console dashboard:

Project_ID.png

IMPORTANT: Finally, set the default zone and project configuration:

gcloud config set compute/zone us-central1-f

You can choose a variety of different zones. Learn more in the Regions & Zones documentation.

Using your browser, navigate to the Google Kubernetes Engine (GKE) section in Google Cloud Console: console.cloud.google.com/kubernetes

Click Create cluster to open the Create a Kubernetes cluster page, select the Standard cluster template, and set the following values in the template:

Creating the Cloud Run-enabled cluster will take a few moments.

Please wait for the cluster to be ready before moving to the next step.

To deploy a container to the cluster you have just created, go to the Cloud Run section (console.cloud.google.com/run) and click Create service :

Congratulations, you have just created the service and deployed it to Cloud Run on GKE :

Note the URL listed on the top. This will be needed to test the deployed service in the next and final step.

Once you've deployed your service, you can use curl to send a request and verify the service is working, using the cluster's IP address.

To avoid having to setup DNS, we'll test the deployed service by sending a request to the Istio ingress gateway (Knative is built using Istio) with the target host that should handle the request as an HTTP header. That hostname should be the URL listed in the previous deployment step and of the form: http://service-name.namespace.example.com

From Cloud Console, go back to the GKE section (console.cloud.google.com/kubernetes) and click Services in the left navigation panel to display the list of services.

Scroll down to the istio-ingressgateway service and copy the IP address shown next to the load balancer. Ignore the other values under that IP address.

From Cloud Shell, use curl to access the service :

curl -v -H "Host: hello-run-gke.default.example.com" http://[YOUR-IP]

Replace [YOUR-IP] with the IP address you obtained in the previous step, and if you used a service name other than "hello-run-gke" you'll need to replace that as well.

The response should be HTTP 200 along with the default "Congratulations | Cloud Run" HTML content :

* Rebuilt URL to: http://173.255.129.211:80/
*   Trying 173.255.129.211...
* TCP_NODELAY set
* Connected to 173.255.129.211 (173.255.129.211) port 80 (#0)
> GET / HTTP/1.1
> Host: hello-run-gke.default.example.com
> User-Agent: curl/7.52.1
> Accept: */*
> 
< HTTP/1.1 200 OK
< content-type: text/html; charset=utf-8

<...>

<title>Congratulations | Cloud Run</title>

While Cloud Run on GKE is in beta, you must delete the cluster if you wish to stop the Cloud Run on GKE components from running. This will permanently delete workloads in the cluster and all other cluster state.

To delete the cluster, go to the GKE section in the console, select the cluster and click delete.

If you haven't already done so, a good next step would be to Build your own container and Deploy to Cloud Run (the fully-managed version, without GKE).

For more information on building a container from code source and pushing to Container Registry, see: