Kubernetes is an orchestration platform that automates the deployment, scaling, and management of containerized applications. It helps developers focus on innovating and creating valuable products. In this tutorial, we will guide you through each step of deploying your first application on Kubernetes.
Prerequisites for Kubernetes Deployment
Before we begin, ensure that you have installed kubectl
and have a Kubernetes environment set up. If you need to install kubectl
, visit the installation tools page.
Step 1: Installing Kubernetes on Master and Worker Nodes
To start, you need to install Kubernetes on both the master and worker nodes. This can be done using tools like kubeadm
or minikube
.
Step 2: Creating a Deployment
To create a deployment, you will need to specify the container image for your application and the number of replicas you want to run. You can change this information later by updating your deployment. For your first deployment, we will use a hello-node application packaged in a Docker container that uses NGINX to echo back all requests.
kubectl create deployment kubernetes-bootcamp --image=gcr.io/google-samples/kubernetes-bootcamp:v1
This command performs several actions:
- Searches for a suitable node where an instance of the application can be run.
- Schedules the application to run on that node.
- Configures the cluster to reschedule the instance on a new node when needed.
Step 3: Listing Deployments
To list your deployments, use the kubectl get deployments
command:
kubectl get deployments
This will show you that there is one deployment running a single instance of your application. The instance is running inside a container on your node.
Step 4: Scaling Deployments
To scale your deployment, you can use the kubectl scale
command:
kubectl scale deployment kubernetes-bootcamp --replicas=3
This will increase the number of replicas to three, ensuring that your application can handle increased traffic.
Step 5: Exposing Applications to External Users
To expose your application to external users, you can create a service. There are two primary ways to create and manage resources: using the Kubernetes command line interface (kubectl
) or using Infrastructure-as-Code tools like Terraform.
For this example, we will use kubectl
to create a service:
apiVersion: v1
kind: Service
metadata:
name: kubernetes-bootcamp
spec:
selector:
app: kubernetes-bootcamp
ports:
- name: http
port: 80
targetPort: 8080
type: LoadBalancer
Apply the service configuration using kubectl apply
:
kubectl apply -f service.yml
Step 6: Accessing the Application
Once the service is created, you can access your application using the service's IP address and port. For example, if the service is exposed on nodeIP:30009
, you can access it by visiting http://nodeIP:30009
in your web browser.
Conclusion
In this tutorial, we have successfully deployed a todo application on a Kubernetes cluster. We have covered the basic steps of creating a deployment, scaling it, and exposing it to external users. By mastering these techniques, you can unlock the full potential of Kubernetes and achieve unparalleled efficiency and scalability in your application deployments.
Additional Resources
For more information on Kubernetes and platform engineering, check out the following resources:
Final Thoughts
Kubernetes provides a powerful set of tools and strategies for controlling deployment, reducing cost, and improving reliability. By utilizing features such as rollbacks, Pods, Deployments, and advanced deployment strategies, you can reduce downtime and ultimately save money on infrastructure and operational expenses.
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