Alternative kubernetes services in aws,azure and gcp

Here are some alternative Kubernetes services and steps to use them on AWS, Azure, and GCP:

1. Amazon Elastic Kubernetes Service (EKS)

• Login to the AWS Management Console
• Navigate to the Amazon EKS console
• Click on the “Create cluster” button
• Choose a cluster name and select the region for the cluster
• Select the Kubernetes version and choose the number of nodes for the cluster
• Choose the networking options for the cluster
• Review and confirm the settings, then click on the “Create” button

2. Azure Kubernetes Service (AKS)

• Login to the Azure portal
• Navigate to the Azure Kubernetes Service
• Click on the “Add” button
• Enter a name for the Kubernetes cluster, select the subscription and resource group, and choose the region for the cluster
• Choose the Kubernetes version and node size for the cluster
• Choose the authentication and network settings for the cluster
• Review and confirm the settings, then click on the “Create” button

3. Google Kubernetes Engine (GKE)

• Login to the Google Cloud Console
• Navigate to the Google Kubernetes Engine
• Click on the “Create cluster” button
• Enter a cluster name and select the location for the cluster
• Choose the Kubernetes version and node size for the cluster
• Choose the network and security settings for the cluster
• Review and confirm the settings, then click on the “Create” button

After creating the Kubernetes cluster, you can deploy your applications to the cluster using the following steps:

1. Amazon EKS

• Install the AWS CLI and the Kubernetes CLI (kubectl) on your local machine
• Run the “aws eks update-kubeconfig” command to update your kubeconfig file with the EKS cluster configuration
• Deploy your application to the EKS cluster using the “kubectl apply” command
• Monitor your application using the Kubernetes dashboard or other monitoring tools

2. Azure AKS

• Install the Azure CLI and the Kubernetes CLI (kubectl) on your local machine
• Run the “az aks get-credentials” command to get the credentials for the AKS cluster and update your kubeconfig file
• Deploy your application to the AKS cluster using the “kubectl apply” command
• Monitor your application using the Kubernetes dashboard or other monitoring tools

3. Google GKE

• Install the Google Cloud SDK and the Kubernetes CLI (kubectl) on your local machine
• Run the “gcloud container clusters get-credentials” command to get the credentials for the GKE cluster and update your kubeconfig file
• Deploy your application to the GKE cluster using the “kubectl apply” command
• Monitor your application using the Kubernetes dashboard or other monitoring tools

Note: These are simplified steps and may vary depending on your use case and specific requirements. Please refer to the official documentation for each service for detailed instructions.