Merge pull request #26 from devdattakulkarni/Containers

Updated manual deployment steps for GKE example

Author: devdattakulkarni

Containers/Kubernetes-examples/GCP/steps.txt

@@ -1,5 +1,7 @@
 Steps for deploying a stateful containerized application on GKE
 ----------------------------------------------------------------
+
+1) Install Docker and gcloud CLI
 Create free tier EC2 instance
 - create Ubuntu 16.04 EC2 instance (free tier). Allow ingress for port 22 from anywhere (0.0.0.0/0)
 SSH into EC2 instance
@@ -11,25 +13,49 @@ cd Containers/Kubernetes-examples/GCP/
 ./install-docker-ubuntu.sh 
 exit from EC2 instance
 SSH back into EC2 instance
+
+
+2) Configure authentication for gcloud CLI
 gcloud auth login <your-gmail-address>
 Create Project in Google Cloud Console
 export PROJECT_ID=<Project-ID-from-previous-step>
 export CLOUDSDK_COMPUTE_ZONE=us-central1-b
 gcloud config set project ${PROJECT_ID}
+
+
+3) Build and Push Application Docker container to Google Container Registry (GCR)
 cd greetings
 docker build -t gcr.io/${PROJECT_ID}/greetings:v1 .
 gcloud docker -- push gcr.io/${PROJECT_ID}/greetings:v1
+
+
+4) Create a GKE cluster
 gcloud container clusters create --machine-type=g1-small --num-nodes=1 testcluster1
+
+
+5) Create a Google Cloud SQL instance
 gcloud sql instances create instance1 --tier=db-f1-micro --authorized-networks=0.0.0.0/0
-gcloud components install kubectl
+
+
+6) Create testdb database on the Cloud SQL instance
 gcloud sql users set-password root % --instance instance1 --password 'testpass123!@#'
 sudo apt-get install mysql-client
 gcloud sql instances list
 mysql -h <IP-address-of-SQL-Instance> --user=root --password='testpass123!@#'
 mysql>create database testdb;
+
+
+7) Install kubectl
+gcloud components install kubectl
+
+
+8) Deploy application container
 Edit greetings-deployment.yaml and set the environment variables
 kubectl create -f greetings-deployment.yaml
 kubectl expose deployments --port=80 --target-port=5000 --type=LoadBalancer greetings-deployment
+
+
+9) Verify if relevant Kubernetes Objects have been created or not
 kubectl get services
 kubectl get deployments
 kubectl get pods
@@ -38,6 +64,9 @@ kubectl describe deployments <deployment-name>
 kubectl describe service <service-name>
 Once you get EXTERNAL-IP of the service, open it up in browser (It may take couple of minutes for the application to respond)
 kubectl logs <pod-name>
+
+
+10) Clean-up steps (Do these only after your assignment has been graded)
 kubectl delete service <service-name>
 kubectl delete deployment <deployment-name>
 Delete the GKE cluster from Google Cloud Console