Difference Between Kubernetes and Managed Kubernetes

Difference Between Kubernetes and Managed Kubernetes

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It is a powerful tool that enables developers to manage and deploy their applications seamlessly. On the other hand, managed Kubernetes is a service offered by cloud providers that simplifies the deployment and management of Kubernetes clusters.

In this article, we will discuss the difference between Kubernetes and managed Kubernetes.

What is Kubernetes?

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It is designed to manage containerized applications in a highly scalable and efficient way. Kubernetes provides developers with a powerful set of tools to deploy, manage, and scale their applications.

What is Managed Kubernetes?

Managed Kubernetes is a service offered by cloud providers that simplifies the deployment and management of Kubernetes clusters. It is a fully managed service that eliminates the need for the user to manage the infrastructure, upgrades, and security patches.

Differences between Kubernetes and Managed Kubernetes

  1. Setup and Configuration

Kubernetes requires the user to set up and configure the infrastructure required to run the cluster. This includes provisioning the nodes, configuring the networking, and installing the Kubernetes software. Managed Kubernetes, on the other hand, is a fully managed service that handles all of the infrastructure setup and configuration.

  1. Maintenance

Kubernetes requires the user to perform maintenance tasks such as upgrading the software and applying security patches. Managed Kubernetes, however, takes care of all of the maintenance tasks, including upgrading the software and applying security patches.

  1. Scalability

Kubernetes is highly scalable and can be used to manage large clusters of nodes. Managed Kubernetes is also highly scalable, but the maximum number of nodes that can be managed varies based on the cloud provider.

  1. Cost

Kubernetes is open source and free to use, but the user must pay for the infrastructure required to run the cluster. Managed Kubernetes is a paid service, and the cost varies based on the cloud provider.

Commands and Steps for Using Kubernetes

  1. Install Kubernetes: Use the following command to install Kubernetes on a Linux machine:

sudo apt-get install -y kubernetes

  1. Deploy an Application: Use the following command to deploy an application on a Kubernetes cluster:

kubectl create deployment <deployment_name> --image=<image_name>

  1. Scale the Application: Use the following command to scale the application:

kubectl scale deployment <deployment_name> --replicas=<number_of_replicas>

Commands and Steps for Using Managed Kubernetes

  1. Choose a Cloud Provider: Choose a cloud provider that offers managed Kubernetes, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.

  2. Create a Kubernetes Cluster: Use the cloud provider's console to create a Kubernetes cluster. This will automatically set up the infrastructure required to run the cluster.

  3. Deploy an Application: Use the cloud provider's console to deploy an application on the Kubernetes cluster.

  4. Scale the Application: Use the cloud provider's console to scale the application.

More Examples

Some examples of managed Kubernetes services include Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS).

In summary, Kubernetes is an open-source container orchestration platform that requires the user to manage the infrastructure, upgrades, and security patches. Managed Kubernetes is a service offered by cloud providers that handles all of the infrastructure setup and configuration, as well as maintenance tasks.

Both Kubernetes and managed Kubernetes are highly scalable and can be used to manage large clusters of nodes. The choice between the two depends on the user's requirements and expertise.

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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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