This content originally appeared on DEV Community and was authored by On-cloud7
What is Deployment in k8s?
A Deployment provides a configuration for updates for Pods and ReplicaSets.
You describe a desired state in a Deployment, and the Deployment Controller changes the actual state to the desired state at a controlled rate. You can define Deployments to create new replicas for scaling, or to remove existing Deployments and adopt all their resources with new Deployments.
Task:
Create one Deployment file to deploy a sample todo-app on K8s using "Auto-healing" and "Auto-Scaling" feature
To deploy the sample ToDo app on Kubernetes using Deployment, follow these steps:
Create a YAML file named deployment.yml with the following content:
apiVersion: apps/v1
kind: Deployment
metadata:
name: todo-app
labels:
app: todo
spec:
replicas: 2
selector:
matchLabels:
app: todo
template:
metadata:
labels:
app: todo
spec:
containers:
- name: todo
image: rishikeshops/todo-app
ports:
- containerPort: 3000
2.Apply the deployment to your k8s cluster by running:
kubectl apply -f deployment.yml
3.Verify that the Deployment is created by running:
kubectl get deployments
4.Verify that the Pods are running by running:
kubectl get pods
Conclusion:
In this blog post, we learned how to launch a Kubernetes cluster with Deployment, a configuration that allows us to manage updates to Pods and ReplicaSets. We also deployed a sample ToDo app on Kubernetes using Deployment and enabled auto-healing and auto-scaling for it.
This content originally appeared on DEV Community and was authored by On-cloud7
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On-cloud7 | Sciencx (2024-08-09T13:08:55+00:00) Day 32 Task: Launching your Kubernetes Cluster with Deployment. Retrieved from https://www.scien.cx/2024/08/09/day-32-task-launching-your-kubernetes-cluster-with-deployment/
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