For Task — 1
In task 1, it requires the user to create a Jumphost instance with the following parameters: - Naming of the instance should be nucleus-jumphost - The machine type should be f1-micro. - Using the default image type (Debian Linux). - Go to navigation menu == Compute Engine == VM Instance. - Select the above parameters and click create. ✔ Wait for a second and then check your progress in the lab. You should see a green mark.
For Task — 2
In task 2, the lab requires the user to create a Kubernetes Service Cluster with the following parameters:
- Creating the cluster in the us-east1 region.
- Using the Docker container hello-app (`gcr.io/google-samples/hello-app:2.0`) as a place holder.
- Exposing the app on port 8080.
- Open the Cloud Shell and wait for it to be configured. Then run the following set of commands to create a kubernetes cluster.
gcloud config set compute/zone us-east1-b
gcloud container clusters create nucleus-jumphost-webserver1
gcloud container clusters get-credentials nucleus-jumphost-webserver1
kubectl create deployment hello-app --image=gcr.io/google-samples/hello-app:2.0
kubectl expose deployment hello-app --type=LoadBalancer --port 8080
kubectl get service
✔ The deployment takes time. You can check by running kubectl get service again to see if you get the green mark in the lab home page!
For Task — 3
Step 3 requires to setup an HTTP Load Balancer with a managed instance group of two nginx web servers. We need to do a set of 8 small tasks in order to score full in this task. The following set of configurations is given in advance: cat << EOF > startup.sh #! /bin/bash apt-get update apt-get install -y nginx service nginx start sed -i -- 's/nginx/Google Cloud Platform - '"\$HOSTNAME"'/' /var/www/html/index.nginx-debian.html EOF Copy and paste the above command in the cloud shell and execute it. After that, follow the below steps: 1. Creating an instance template: gcloud compute instance-templates create nginx-template \ --metadata-from-file startup-script=startup.sh 2. Creating a target pool: gcloud compute target-pools create nginx-pool This command will ask you the location where you want to create the target pool. If it’s not us-east1, type “n”. Select the number corresponding to us-east1 in the list. In my case it was 19. Type 19 and hit Enter. 3. Creating a managed instance group: gcloud compute instance-groups managed create nginx-group \ --base-instance-name nginx \ --size 2 \ --template nginx-template \ --target-pool nginx-pool gcloud compute instances list 4. Creating a firewall rule to allow traffic (80/tcp): gcloud compute firewall-rules create www-firewall --allow tcp:80 gcloud compute forwarding-rules create nginx-lb \ --region us-east1 \ --ports=80 \ --target-pool nginx-pool gcloud compute forwarding-rules list 5. Creating a health check: gcloud compute http-health-checks create http-basic-check gcloud compute instance-groups managed \ set-named-ports nginx-group \ --named-ports http:80 6. Creating a backend service and attach the manged instance group: gcloud compute backend-services create nginx-backend \ --protocol HTTP --http-health-checks http-basic-check --global gcloud compute backend-services add-backend nginx-backend \ --instance-group nginx-group \ --instance-group-zone us-east1-b \ --global 7. Creating a URL map and target HTTP proxy to route requests to your URL map: gcloud compute url-maps create web-map \ --default-service nginx-backend gcloud compute target-http-proxies create http-lb-proxy \ --url-map web-map 8. Creating a forwarding rule: gcloud compute forwarding-rules create http-content-rule \ --global \ --target-http-proxy http-lb-proxy \ --ports 80 gcloud compute forwarding-rules list ✔ Wait for around 2–3 minutes if the green check doesn’t appear. It takes time to create the resources. Check again and you’ll definitely see the green check.