GCP Google Kubernetes Engine - Create GKE Cluster

Step-01: Introduction¶

Create GKE Standard GKE Cluster
Configure Google CloudShell to access GKE Cluster
Deploy simple Kubernetes Deployment and Kubernetes Load Balancer Service and Test
Clean-Up

Step-02: Create Standard GKE Cluster¶

Go to Kubernetes Engine -> Clusters -> CREATE
Select GKE Standard -> CONFIGURE
Cluster Basics
Name: standard-public-cluster-1
Location type: Regional
Region: us-central1
Specify default node locations: us-central1-a, us-central1-b, us-central1-c
Release Channel
- Release Channel: Rapid Channel
- Version: LATEST AVAIALABLE ON THAT DAY
REST ALL LEAVE TO DEFAULTS
NODE POOLS: default-pool
Node pool details
Name: default-pool
Number of Nodes (per zone): 1
Node Pool Upgrade Strategy: Surge Upgrade
Nodes: Configure node settings
Image type: Containerized Optimized OS
Machine configuration
- GENERAL PURPOSE SERIES: E2
- Machine Type: e2-small
Boot disk type: Balanced persistent disk
Boot disk size(GB): 20
Boot disk encryption: Google-managed encryption key (default )
Enable Node on Spot VMs: CHECKED
Node Networking: LEAVE TO DEFAULTS
Node Security:
Access scopes: Allow default access (LEAVE TO DEFAULT)
REST ALL REVIEW AND LEAVE TO DEFAULTS
Node Metadata: REVIEW AND LEAVE TO DEFAULTS
CLUSTER
Automation: REVIEW AND LEAVE TO DEFAULTS
Networking: REVIEW AND LEAVE TO DEFAULTS
- CHECK THIS BOX: Enable Dataplane V2 CHECK IT - IN FUTURE VERSIONS IT WILL BE BY DEFAULT ENABLED
Security: REVIEW AND LEAVE TO DEFAULTS
- CHECK THIS BOX: Enable Workload Identity CHECK IT - IN FUTURE VERSIONS IT WILL BE BY DEFAULT ENABLED
Metadata: REVIEW AND LEAVE TO DEFAULTS
Features: REVIEW AND LEAVE TO DEFAULTS
CLICK ON CREATE

Step-03: Verify Cluster Details¶

Go to Kubernetes Engine -> Clusters -> standard-public-cluster-1
Review
Details Tab
Nodes Tab
- Review same nodes Compute Engine
Storage Tab
- Review Storage Classes
Logs Tab
- Review Cluster Logs
- Review Cluster Logs Filter By Severity

Step-04: Verify Additional Features in GKE on a High-Level¶

Step-04-01: Verify Workloads Tab¶

Go to Kubernetes Engine -> Clusters -> standard-public-cluster-1
Workloads -> SHOW SYSTEM WORKLOADS

Step-04-02: Verify Services & Ingress¶

Go to Kubernetes Engine -> Clusters -> standard-public-cluster-1
Services & Ingress -> SHOW SYSTEM OBJECTS

Step-04-03: Verify Applications, Secrets & ConfigMaps¶

Go to Kubernetes Engine -> Clusters -> standard-public-cluster-1
Applications
Secrets & ConfigMaps

Step-04-04: Verify Storage¶

Go to Kubernetes Engine -> Clusters -> standard-public-cluster-1
Storage Classes
premium-rwo
standard
standard-rwo

Step-04-05: Verify the below¶

Object Browser
Migrate to Containers
Backup for GKE
Config Management
Protect

Step-05: Google CloudShell: Connect to GKE Cluster using kubectl¶

kubectl Authentication in GKE

# Verify gke-gcloud-auth-plugin Installation (if not installed, install it)
gke-gcloud-auth-plugin --version 

# Install Kubectl authentication plugin for GKE
sudo apt-get install google-cloud-sdk-gke-gcloud-auth-plugin

# Verify gke-gcloud-auth-plugin Installation
gke-gcloud-auth-plugin --version 

# Configure kubeconfig for kubectl
gcloud container clusters get-credentials <CLUSTER-NAME> --region <REGION> --project <PROJECT-NAME>
gcloud container clusters get-credentials standard-public-cluster-1 --region us-central1 --project kdaida123

# Run kubectl with the new plugin prior to the release of v1.25
vi ~/.bashrc
USE_GKE_GCLOUD_AUTH_PLUGIN=True

# Reload the environment value
source ~/.bashrc

# Check if Environment variable loaded in Terminal
echo $USE_GKE_GCLOUD_AUTH_PLUGIN

# Verify kubectl version
kubectl version --short

# Install kubectl (if not installed)
gcloud components install kubectl

# Configure kubectl
gcloud container clusters get-credentials <CLUSTER-NAME> --zone <ZONE> --project <PROJECT-ID>
gcloud container clusters get-credentials standard-cluster-1 --zone us-central1-c --project kdaida123

# Verify Kubernetes Worker Nodes
kubectl get nodes

# Verify System Pod in kube-system Namespace
kubectl -n kube-system get pods

# Verify kubeconfig file
cat $HOME/.kube/config
kubectl config view

Step-06: Review Sample Application: 01-kubernetes-deployment.yaml¶

Folder: kube-manifests

apiVersion: apps/v1
kind: Deployment 
metadata: #Dictionary
  name: myapp1-deployment
spec: # Dictionary
  replicas: 2
  selector:
    matchLabels:
      app: myapp1
  template:  
    metadata: # Dictionary
      name: myapp1-pod
      labels: # Dictionary
        app: myapp1  # Key value pairs
    spec:
      containers: # List
        - name: myapp1-container
          image: stacksimplify/kubenginx:1.0.0
          ports: 
            - containerPort: 80

Step-07: Review Sample Application: 02-kubernetes-loadbalancer-service.yaml¶

Folder: kube-manifests

apiVersion: v1
kind: Service 
metadata:
  name: myapp1-lb-service
spec:
  type: LoadBalancer # ClusterIp, # NodePort
  selector:
    app: myapp1
  ports: 
    - name: http
      port: 80 # Service Port
      targetPort: 80 # Container Port

Step-08: Upload Sample App to Google CloudShell¶

# Upload Sample App to Google CloudShell
Go to Google CloudShell -> 3 Dots -> Upload -> Folder -> google-kubernetes-engine

# Change Directory
cd google-kubernetes-engine/02-Create-GKE-Cluster

# Verify folder uploaded
ls kube-manifests/

# Verify Files
cat kube-manifests/01-kubernetes-deployment.yaml
cat kube-manifests/02-kubernetes-loadbalancer-service.yaml

Step-09: Deploy Sample Application and Verify¶

# Change Directory
cd google-kubernetes-engine/02-Create-GKE-Cluster

# Deploy Sample App using kubectl
kubectl apply -f kube-manifests/

# List Deployments
kubectl get deploy

# List Pods
kubectl get pod

# List Services
kubectl get svc

# Access Sample Application
http://<EXTERNAL-IP>

Step-10: Verify Workloads in GKE Dashboard¶

Go to GCP Console -> Kubernetes Engine -> Workloads
Click on myapp1-deployment
Review all tabs

Step-11: Verify Services in GKE Dashboard¶

Go to GCP Console -> Kubernetes Engine -> Services & Ingress
Click on myapp1-lb-service
Review all tabs

Step-13: Verify Load Balancer¶

Go to GCP Console -> Networking Services -> Load Balancing
Review all tabs

Step-14: Clean-Up¶

Go to Google Cloud Shell

# Change Directory
cd google-kubernetes-engine/02-Create-GKE-Cluster

# Delete Kubernetes Deployment and Service
kubectl delete -f kube-manifests/

# List Deployments
kubectl get deploy

# List Pods
kubectl get pod

# List Services
kubectl get svc