Kubernetes Cluster Architecture

Introduction

In this lab, we will explore the architecture of Kubernetes, a powerful container orchestration platform. We'll examine the key components that make up a Kubernetes cluster and learn how they interact to manage containerized applications. This lab is designed for beginners, providing a hands-on introduction to Kubernetes architecture.

Skills Graph

Starting Minikube and Exploring Control Plane Components

Let's begin by starting a Kubernetes cluster using Minikube and examining the control plane components.

First, open your terminal. You should be in the /home/labex/project directory by default. If not, navigate there:

cd ~/project

Now, start Minikube with the following command:

minikube start

This command initializes a single-node Kubernetes cluster on your local machine. It may take a few minutes to complete. Don't worry if you see a lot of output – this is normal.

Once Minikube has started, let's explore the control plane components. The control plane is the brain of Kubernetes, responsible for managing the overall state of the cluster. To check the status of these components, run:

kubectl get componentstatuses

You should see output similar to this:

NAME                 STATUS    MESSAGE             ERROR
scheduler            Healthy   ok
controller-manager   Healthy   ok
etcd-0               Healthy   {"health":"true"}

Let's break down what each of these components does:

1. The scheduler: This component watches for newly created Pods with no assigned node, and selects a node for them to run on.
2. The controller manager: This runs controller processes, which regulate the state of the system. For example, the replication controller ensures that the right number of Pod replicas are running.
3. etcd: This is a distributed key-value store that acts as Kubernetes' backing store for all cluster data.

If all components show "Healthy", your control plane is functioning correctly. If you see any errors, it might be worth restarting Minikube with minikube delete followed by minikube start.

Examining Node Components

Now that we've looked at the control plane, let's examine the node components. In Kubernetes, nodes are the worker machines that run your applications. Think of them as the muscles of your cluster, doing the heavy lifting of running containers.

To see the nodes in your cluster, run:

kubectl get nodes

You should see output similar to this:

NAME       STATUS   ROLES    AGE   VERSION
minikube   Ready    control plane   10m   v1.20.0

This output shows that we have one node named "minikube" which is both a master (control plane) and a worker node, as we're using a single-node cluster. In a production environment, you'd typically have multiple nodes, with separate master and worker nodes.

The "Ready" status means the node is healthy and ready to accept Pods.

To get more detailed information about the node, use:

kubectl describe node minikube

This command provides a wealth of information about the node. Don't worry if it seems overwhelming – let's break down some key sections:

1. Node Conditions: These show the status of various node conditions (e.g., Ready, DiskPressure, MemoryPressure).
2. Capacity: This shows the total resources available on the node (CPU and memory).
3. Allocatable: This shows the resources available for Pods to use.
4. System Info: This provides information about the node's operating system, kernel version, and container runtime.

The key node components, which you won't see directly but are running on the node, include:

1. kubelet: This is the primary node agent. It watches for Pods that have been assigned to its node and ensures they're running.
2. kube-proxy: This maintains network rules on the node, allowing network communication to your Pods from inside or outside of your cluster.

Creating and Examining a Pod

Before diving in, let's understand how YAML works in Kubernetes:

YAML files in Kubernetes act as "Infrastructure as Code":

• Think of it as a "menu" telling Kubernetes what you want
• Describes your desired system state in human-readable format
• Can be version controlled for team collaboration

Let's create our first YAML file. Create simple-pod.yaml:

nano ~/project/simple-pod.yaml

Add the following content:

## --- Beginning of YAML file ---
## 1. Tell Kubernetes which API version to use
apiVersion: v1
## 2. Declare what kind of resource we want to create
kind: Pod
## 3. Set metadata for this resource
metadata:
  name: nginx-pod ## Name of the Pod
  labels: ## Labels help us find and organize Pods
    app: nginx
## 4. Define what the Pod should contain
spec:
  containers: ## Pod can run one or more containers
    - name: nginx ## Name of the container
      image: nginx:latest ## Which container image to use
      ports: ## Which ports to expose
        - containerPort: 80 ## Nginx uses port 80 by default

The YAML file structure is like a tree:

Pod (root)
├── metadata (branch)
│   ├── name (leaf)
│   └── labels (leaf)
└── spec (branch)
    └── containers (branch)
        └── - name, image, ports (leaves)

Create the Pod:

kubectl apply -f simple-pod.yaml ## -f means read from file

This command will:

1. Read your YAML file
2. Send it to the Kubernetes API
3. Kubernetes will work to achieve your described state

Verify the Pod creation:

kubectl get pods

You should see:

NAME        READY   STATUS    RESTARTS   AGE
nginx-pod   1/1     Running   0          30s

The "1/1" under READY means one out of one containers in the Pod is ready. "Running" under STATUS means your first YAML configuration worked!

💡 Pro Tips:

• Indentation in YAML is crucial - use spaces, not tabs
• Use kubectl explain pod to see field documentation
• Always add comments for better maintainability

To get detailed information about the pod:

kubectl describe pod nginx-pod

This command provides a lot of information, including:

• The node the Pod is running on
• The Pod's IP address
• The containers in the Pod
• Recent events related to the Pod

This information is crucial for debugging and understanding the state of your application.

Creating a Service

Now that we have a running pod, let's create a Service to expose it. In Kubernetes, a Service is an abstraction that defines a logical set of Pods and a policy by which to access them. Think of it as a way to expose your application to the network, either within the cluster or externally.

Create a file named nginx-service.yaml in your project directory:

nano ~/project/nginx-service.yaml

Add the following content to the file:

apiVersion: v1
kind: Service
metadata:
  name: nginx-service
spec:
  selector:
    app: nginx
  ports:
    - protocol: TCP
      port: 80
      targetPort: 80
  type: NodePort

Let's break down this YAML file:

• selector: This determines which Pods the Service will send traffic to. In this case, it will select any Pods with the label app: nginx.
• ports: This specifies which ports the Service should use.
• type: NodePort: This means the Service will be accessible on a port on each node in your cluster.

Save the file and exit the editor.

Now, create the service by running:

kubectl apply -f nginx-service.yaml

To check the status of your service, use:

kubectl get services

You should see output similar to this:

NAME            TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)        AGE
kubernetes      ClusterIP   10.96.0.1       <none>        443/TCP        1h
nginx-service   NodePort    10.110.126.65   <none>        80:30080/TCP   30s

The nginx-service line shows that your service has been created. The 80:30080/TCP under PORT(S) means that port 80 inside the cluster is mapped to port 30080 on the node.

To get more detailed information about the service, use:

kubectl describe service nginx-service

This command provides information about the service's type, IP addresses, ports, and endpoints. The endpoints are the IP addresses of the Pods that the Service is sending traffic to.

Accessing the Application

Now that we have a pod running our application and a service exposing it, let's access the application. This step will show you how all the components we've set up work together to make your application accessible.

First, we need to find out the URL that Minikube has assigned to our service:

minikube service nginx-service --url

This command will output a URL, which should look something like http://192.168.64.2:30080. The IP address might be different on your machine.

To access the application, you can use the curl command followed by the URL:

curl $(minikube service nginx-service --url)

This should return the default Nginx welcome page HTML. If you see HTML output starting with <!DOCTYPE html>, congratulations! You've successfully accessed your application.

Let's break down what just happened:

1. Your request first hit the NodePort service we created.
2. The service then forwarded the request to the Pod running the Nginx container.
3. The Nginx container processed the request and sent back the default welcome page.

This demonstrates how Kubernetes abstracts away the underlying infrastructure, allowing you to focus on your application rather than worrying about which specific machine it's running on.

Summary

In this lab, we explored the architecture of Kubernetes by examining its key components and their interactions. We started a Kubernetes cluster using Minikube, inspected the control plane and node components, created a pod to run an application, exposed the application using a service, and finally accessed the application.

We learned about:

• Control plane components like the API server, scheduler, and controller manager
• Node components like kubelet and kube-proxy
• Pods as the smallest deployable units in Kubernetes
• Services as a way to expose applications

This hands-on experience provides a solid foundation for understanding Kubernetes architecture. Remember, Kubernetes is a complex system with many moving parts, and it's okay if you don't understand everything right away. As you continue to work with Kubernetes, these concepts will become more familiar and intuitive.

Next steps in your Kubernetes journey could include learning about Deployments for managing multiple replicas of your application, ConfigMaps and Secrets for managing configuration, and Persistent Volumes for data storage. Keep exploring and happy Kuberneting!