Vertical Pod Autoscaler concept in Kubernetes - Mini Project: Build & Apply

Vertical Pod Autoscaler Concept

📖 Scenario: You are managing a Kubernetes cluster that runs a web application. You want to automatically adjust the CPU and memory resources of your pods based on their usage to keep the application running smoothly without wasting resources.

🎯 Goal: Learn how to create a Vertical Pod Autoscaler (VPA) resource in Kubernetes to automatically adjust pod resource requests and limits.

📋 What You'll Learn

Create a basic pod specification with resource requests

Define a Vertical Pod Autoscaler configuration targeting the pod

Apply the VPA to the pod to enable automatic resource adjustment

Verify the VPA status and recommendations

💡 Why This Matters

🌍 Real World

Vertical Pod Autoscaler helps keep applications running efficiently by automatically adjusting pod CPU and memory based on actual usage, avoiding manual tuning.

💼 Career

Understanding VPA is important for Kubernetes administrators and DevOps engineers to optimize resource usage and maintain application performance.

1

Create a pod manifest with resource requests

Create a YAML manifest file named web-pod.yaml that defines a pod called web-app running the image nginx:latest. Set the CPU request to 100m and memory request to 200Mi under resources.requests.

Kubernetes

# Create a pod manifest with name web-app and resource requests
# Your code here

Need a hint?

Use resources.requests.cpu and resources.requests.memory fields inside the container spec.

2

Create a Vertical Pod Autoscaler configuration

Create a YAML manifest file named vpa.yaml that defines a Vertical Pod Autoscaler resource called web-app-vpa. Set the target reference to the pod named web-app and set the update policy to Auto.

Kubernetes

apiVersion: v1
kind: Pod
metadata:
  name: web-app
spec:
  containers:
  - name: nginx-container
    image: nginx:latest
    resources:
      requests:
        cpu: "100m"
        memory: "200Mi"

# Create a Vertical Pod Autoscaler manifest named web-app-vpa targeting web-app pod
# Your code here

Need a hint?

Use spec.targetRef to point to the pod and spec.updatePolicy.updateMode to set automatic updates.

3

Apply the pod and VPA manifests to the cluster

Use the kubectl apply -f command to apply both web-pod.yaml and vpa.yaml files to your Kubernetes cluster.

Kubernetes

apiVersion: v1
kind: Pod
metadata:
  name: web-app
spec:
  containers:
  - name: nginx-container
    image: nginx:latest
    resources:
      requests:
        cpu: "100m"
        memory: "200Mi"
---
apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
  name: web-app-vpa
spec:
  targetRef:
    apiVersion: v1
    kind: Pod
    name: web-app
  updatePolicy:
    updateMode: "Auto"

# Apply the manifests using kubectl
# Your code here

Need a hint?

Run kubectl apply -f for each YAML file to create resources.

4

Check the VPA status and recommendations

Run the command kubectl describe vpa web-app-vpa to see the current status and resource recommendations made by the Vertical Pod Autoscaler.

Kubernetes

kubectl apply -f web-pod.yaml
kubectl apply -f vpa.yaml

# Run kubectl describe to check VPA status
# Your code here

Need a hint?

This command shows the VPA's current recommendations for CPU and memory.