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Create a new Deployment - hello-server
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Create a Kubernetes Service
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Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically Compute Engine instances) grouped to form a container cluster.
In this lab, you get hands-on practice with container creation and application deployment with GKE.
In this lab you will learn how to:
Google Kubernetes Engine (GKE) clusters are powered by the Kubernetes open source cluster management system. Kubernetes provides the mechanisms through which you interact with your container cluster. You use Kubernetes commands and resources to deploy and manage your applications, perform administrative tasks, set policies, and monitor the health of your deployed workloads.
Kubernetes draws on the same design principles that run popular Google services and provides the same benefits: automatic management, monitoring and liveness probes for application containers, automatic scaling, rolling updates, and more. When you run your applications on a container cluster, you're using technology based on Google's 10+ years of experience with running production workloads in containers.
When you run a GKE cluster, you also gain the benefit of advanced cluster management features that Google Cloud provides. These include:
Now that you have a basic understanding of Kubernetes, you will learn how to deploy a containerized application with GKE in less than 15 minutes. Follow the steps below to set up your lab environment.
Pre-configured resource:
Your compute zone is an approximate regional location in which your clusters and their resources live. For example, us-central1-a
is a zone in the us-central1
region.
In your cloud terminal, run the following commands.
Set the default compute region:
Expected output:
Set the default compute zone:
Expected output:
You need authentication credentials to interact with your cluster.
Use the following gcloud
command to retrieve the cluster credentials:
Expected output:
This command is used to authenticate your kubectl
client to a specific Google Kubernetes Engine (GKE) cluster so that you can interact with the cluster. This command fetches the cluster's credentials and updates your kubectl
configuration with the necessary information.
You can now deploy a containerized application to the cluster. For this lab, you'll deploy hello-app
on your cluster.
GKE uses Kubernetes objects to create and manage your cluster's resources. Kubernetes provides the Deployment object for deploying stateless applications like web servers. Service objects define rules and load balancing for accessing your application from the internet.
To create a new Deployment named hello-server
from the hello-app
container image, run the following kubectl create
command:
Expected output:
This Kubernetes command creates a deployment object that represents hello-server
. In this case, --image
specifies a container image to deploy. The command pulls the example image from a Container Registry bucket. gcr.io/google-samples/hello-app:1.0
indicates the specific image version to pull. If a version is not specified, the latest version is used.
Click Check my progress to verify the objective.
To create a Kubernetes Service, which is a Kubernetes resource that lets you expose your application to external traffic, run the following kubectl expose
command:
In this command:
--port
specifies the port that the container exposes.type="LoadBalancer"
creates a Compute Engine load balancer for your container.Expected output:
To inspect the hello-server
Service, run kubectl get
:
Expected output:
Note: It might take a minute for an external IP address to be generated. Run the previous command again if the EXTERNAL-IP
column status is pending.
To view the application from your web browser, open a new tab and enter the following address, replacing [EXTERNAL IP]
with the EXTERNAL-IP
for hello-server
.
Expected output: The browser tab displays the message Hello, world! as well as the version and hostname.
Click Check my progress to verify the objective.
You have just deployed a containerized application to Google Kubernetes Engine! In this lab, you deployed a containerized application to the GKE cluster. You can now apply this knowledge to deploy your own applications with GKE.
Learn more about the Google Kubernetes Engine:
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Manual Last Updated January 9, 2025
Lab Last Tested November 19, 2024
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