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Lab 12.1 - Resource Management Configuration

Lab Objectives​

By the end of this lab, you will be able to:

  • Understand Requests and Limits.
  • Configure CPU and memory resources.
  • Understand QoS (Quality of Service) classes.
  • Configure Resource Quotas and Limit Ranges.

Estimated Duration​

45-60 minutes

Prerequisites​

  • kubectl installed and configured.
  • Working local Kubernetes cluster.

Part 1: Configuring Requests and Limits​

Step 1.1: Create a Pod with Resources​

Create pod-with-resources.yaml:

apiVersion: v1
kind: Pod
metadata:
  name: resource-pod
spec:
  containers:
  - name: app
    image: nginx:1.20
    resources:
      requests:
        cpu: 100m
        memory: 128Mi
      limits:
        cpu: 500m
        memory: 256Mi

Apply:

kubectl apply -f pod-with-resources.yaml

Verify:

kubectl describe pod resource-pod

Part 2: QoS Classes​

Step 2.1: Understanding the Classes​

Pods are classified as:

  • Guaranteed: Requests = Limits for both CPU and memory.
  • Burstable: At least one resource with Request < Limit.
  • BestEffort: No Requests or Limits.

Test different scenarios.

Part 3: Resource Quotas​

Step 3.1: Create a Resource Quota​

Create resource-quota.yaml:

apiVersion: v1
kind: ResourceQuota
metadata:
  name: compute-quota
  namespace: default
spec:
  hard:
    requests.cpu: "2"
    requests.memory: 4Gi
    limits.cpu: "4"
    limits.memory: 8Gi
    pods: "10"

Apply:

kubectl apply -f resource-quota.yaml

Part 4: Limit Ranges​

Step 4.1: Create a Limit Range​

Create limit-range.yaml:

apiVersion: v1
kind: LimitRange
metadata:
  name: mem-limit-range
  namespace: default
spec:
  limits:
  - default:
      memory: 512Mi
      cpu: 500m
    defaultRequest:
      memory: 256Mi
      cpu: 100m
    type: Container

Lab Summary​

In this lab, you configured resource management with Requests, Limits, Resource Quotas, and Limit Ranges.

Next Steps​

The next lab will show you how to configure horizontal and vertical autoscaling.

Lab 12.2: Horizontal and Vertical Autoscaling

Lab created on: December 2024