As a tech leader and developer, I like to focus my effort in writing code or  invest my efforts in architecting web software. I like to move fast from code to deploy, especially in the development process, and using great ui solution, such as Google's Cloud Kubernetes Engine is very useful for me, as I can avoid getting deep diving into DevOps orchestration. In this article I'll go thru on how to deploy a node containerized application to Google's Kubernetes Cluster using only the GKE UI. First we will need to create a GKE Cluster. Just login to google's cloud console and from the menu head to Kubernetes Engine -> Clusters. Before we can actually create the cluster, we'll need to wait for the Kubernetes Engine Api beeing enabled. Creating a Kubernetes Cluster Now we can hit the button and select our desired configuration. Google offer almost every preset needed to get started, either to play around or to set up a production ready high availability Kubernetes clusters. Create cluster We'll go with the default Standard Cluster. Select the Zone nearest to you and the Master version (higher the better), leave the rest with the default settings and hit the button. Create Google will now create the cluster for us. Meanwhile we can dockerize our node application. Node.Js Express App This is our simple express app that will display the request headers and the hostname in JSON: And this is Dockerfile we will use: To buid the image we will run docker build command with the your dockerhub repo: $ docker build -t alonronin/node-env . And push it to dockerhub's using the docker push command: $ docker push alonronin/node-env Creating a Deployment Now we can deploy it to our newly created cluster. To do that we will hit the button at the top. Deploy In the Container section let's choose existing image and enter our dockerhub's image and hit the button and after on the button to the Configuration section. Done Continue In the application name field we will enter our app name, node-env, scroll down to the button and press it. Deploy GKE will generate everything for us, it will create the with default of replicas and an autoscale (HPA) between . Deployment 3 1 - 5 Creating a Service Next we will need to create a service for the , let's click on the deployment and hit the expose . Deployment button The services will be exposed at port by default, but you can change that to any port you want, and we will need to tell it the target port of the container, which is in our express app listening port. 80 3000 Let's select Node Port as the service type and click the button. Expose Now that we have a we can configure it to receive a traffic from the web, we need to create an for it. Service Ingress Creating an Ingress Just select the service and click the button at the top. Create Ingress In the Host and path rules select our as the Backends service. Service In the Frontend configuration we will need to select the type of traffic from the web, let's select as the HTTP will be created by default. HTTPS We can create an SSL certificate by clicking from the Certificate drop down. Create a new certificate Let's choose certificate so it will issued and renewed automatically by google. Add the domain and the name for the certificate and click the button. Create Google-managed Create The google platform will create our and transfer traffic from Google's Load Balancers to our and from the to our and from there to our . Ingress Cluster Ingress Service Deployment When the Ingress is ready it will issue an IP address. We can create an record for our domain to that IP Address. A Check the certificate status Clicking on our Ingress and then on the Load Balancer Link, we can check out if our certificate is or . Active Provisioning This can take up until an hour, according to google's docs, so be patient. It's alive! Going to the domain we configured we can see everything is just fine and our express app is working as expected. Conclusion So we managed to create a Kubernetes cluster, ready for production, only by using the GKE UI. We accomplished to: Create docker image for our application and push it to Dockerhub's repo. Create a Kubernets Cluster Create a Deployment Create a Service Create an Ingress Create an auto managed SSL Certificate All of these actions can be done using the command line tool, by applying files configurations or creating a chart. kubectl yaml Helm If you have any question, suggestion or you find a mistake I've made, feel free to comment on it.

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