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README.md
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README.md

title description
GCP Google Kubernetes Engine Kubernetes Requests and Limits
Implement GCP Google Kubernetes Engine Kubernetes Requests and Limits

Step-00: Pre-requisites

  1. Verify if GKE Cluster is created
  2. Verify if kubeconfig for kubectl is configured in your local terminal
# Configure kubeconfig for kubectl
gcloud container clusters get-credentials <CLUSTER-NAME> --region <REGION> --project <PROJECT>

# Replace Values CLUSTER-NAME, REGION, PROJECT
gcloud container clusters get-credentials standard-cluster-private-1 --region us-central1 --project kdaida123

# List Kubernetes Nodes
kubectl get nodes

Step-01: Introduction

  • We can specify how much each container a pod needs the resources like CPU & Memory.
  • When we provide this information in our pod, the scheduler uses this information to decide which node to place the Pod on.
  • When you specify a resource limit for a Container, the kubelet enforces those limits so that the running container is not allowed to use more of that resource than the limit you set.
  • The kubelet also reserves at least the request amount of that system resource specifically for that container to use.

Step-02: Add Requests & Limits

          resources:
            requests:
              memory: "128Mi" # 128 MebiByte is equal to 135 Megabyte (MB)
              cpu: "200m" # `m` means milliCPU
            limits:
              memory: "256Mi"
              cpu: "400m"  # 1000m is equal to 1 VCPU core

Step-03: Create k8s objects & Test

# Create All Objects
kubectl apply -f kube-manifests/

# List Pods
kubectl get pods

# Watch List Pods screen
kubectl get pods -w

# Describe Pod 
kubectl describe pod <myapp1-deployment-xxxxxx>

# Access Application
http://<LB-IP>/

# List Nodes & Describe Node
kubectl get nodes
kubectl describe node <Node-Name>

Step-04: Clean-Up

  • No Clean-Up.
  • We are going to use this app in next demo which is Cluster Autoscaling

References: