Why managed Kubernetes matters in AWS - See It in Action

Why Managed Kubernetes Matters

📖 Scenario: You are working in a company that wants to deploy applications using Kubernetes. You want to understand why using a managed Kubernetes service like Amazon EKS (Elastic Kubernetes Service) is helpful compared to setting up Kubernetes yourself.

🎯 Goal: Learn the basic setup of a Kubernetes cluster configuration and see how managed Kubernetes simplifies cluster management.

📋 What You'll Learn

Create a dictionary with Kubernetes cluster details

Add a configuration variable for cluster version

Write a function to display cluster info

Print the cluster information

💡 Why This Matters

🌍 Real World

Companies use managed Kubernetes services like Amazon EKS to avoid the complex setup and maintenance of Kubernetes clusters. This saves time and reduces errors.

💼 Career

Understanding managed Kubernetes is important for DevOps roles because it helps in deploying and managing containerized applications efficiently in the cloud.

1

Create Kubernetes cluster details

Create a dictionary called cluster_info with these exact entries: 'name': 'my-eks-cluster', 'nodes': 3, 'region': 'us-west-2'

AWS

# Create the cluster_info dictionary with name, nodes, and region
# Your code here

Need a hint?

Use curly braces to create a dictionary with the keys and values exactly as shown.

2

Add Kubernetes version configuration

Add a variable called k8s_version and set it to the string '1.27'

AWS

cluster_info = {'name': 'my-eks-cluster', 'nodes': 3, 'region': 'us-west-2'}
# Add the k8s_version variable below
# Your code here

Need a hint?

Assign the string '1.27' to the variable k8s_version.

3

Write a function to display cluster info

Write a function called show_cluster_info that takes cluster and version as parameters and returns a string formatted as: "Cluster my-eks-cluster in us-west-2 runs Kubernetes version 1.27 with 3 nodes."

AWS

cluster_info = {'name': 'my-eks-cluster', 'nodes': 3, 'region': 'us-west-2'}
k8s_version = '1.27'
# Define the show_cluster_info function below
# Your code here

Need a hint?

Use an f-string to format the output string with values from the cluster dictionary and version variable.

4

Print the cluster information

Write a print statement that calls show_cluster_info with cluster_info and k8s_version and prints the returned string

AWS

cluster_info = {'name': 'my-eks-cluster', 'nodes': 3, 'region': 'us-west-2'}
k8s_version = '1.27'
def show_cluster_info(cluster, version):
    return f"Cluster {cluster['name']} in {cluster['region']} runs Kubernetes version {version} with {cluster['nodes']} nodes."
# Print the cluster info below
# Your code here

Need a hint?

Call the function with the correct arguments and print the result.