The development team has provided you with a Kubernetes Deployment file.
You have no infrastructure yet and need to deploy the application.
What should you do?
Click on the arrows to vote for the correct answer
A. B. C. D.B.
If you have been provided with a Kubernetes Deployment file by the development team, it means that they have already created the application container and configured the deployment. Your task is to deploy this application on a Kubernetes cluster.
To deploy an application on Kubernetes, you need a Kubernetes cluster. A Kubernetes cluster is a set of nodes (virtual or physical machines) that run containerized applications. You can create a Kubernetes cluster in the cloud or on-premises.
Now, let's examine the given options and determine the best way to deploy the application.
Option A: Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
This option involves using the Google Cloud Platform (GCP) command-line tool gcloud to create a Kubernetes cluster and then using the Deployment Manager service to create the deployment.
Deployment Manager is a service that allows you to create and manage Google Cloud Platform resources in a declarative way. You define your infrastructure as code using Deployment Manager templates, and Deployment Manager creates the resources for you.
This option is a viable solution. However, it requires knowledge of GCP, gcloud, and Deployment Manager, which may not be available to all professionals. It also involves additional steps and configuration that can take time.
Option B: Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
This option involves using gcloud to create a Kubernetes cluster and then using kubectl to create the deployment.
kubectl is the command-line tool used to deploy and manage applications on Kubernetes clusters. It allows you to interact with your Kubernetes cluster, deploy applications, and inspect and manage the state of the cluster.
This option is a good solution because it uses standard tools to deploy the application. However, it still requires knowledge of gcloud and kubectl, which may not be available to all professionals.
Option C: Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
This option involves using kubectl to create a Kubernetes cluster and then using Deployment Manager to create the deployment.
Creating a Kubernetes cluster using kubectl is not the standard way of creating a cluster. kubectl is used to manage the state of the Kubernetes cluster, but it does not have the capability to create a Kubernetes cluster.
Therefore, this option is not a viable solution.
Option D: Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
This option involves using kubectl to create a Kubernetes cluster and then using kubectl to create the deployment.
Creating a Kubernetes cluster using kubectl is not the standard way of creating a cluster. kubectl is used to manage the state of the Kubernetes cluster, but it does not have the capability to create a Kubernetes cluster.
Therefore, this option is not a viable solution.
Conclusion:
The best option to deploy the application is Option B. This option involves using gcloud to create a Kubernetes cluster and then using kubectl to create the deployment. This option is a good solution because it uses standard tools to deploy the application and does not require additional knowledge of Deployment Manager.