Uly.me

cloud engineer

gcp

VM Stats

To check VM stats, use the following commands.

To see used and unused memory, swap space.

free

To see RAM details.

sudo dmidecode -t 17

To see number of processors.

nproc

To see CPU details.

lscpu

Docker to GCR

Here’s a couple of steps to move a Docker image to the Google Container Registry.

Create a container image.

docker build -t gcr.io/${PROJECT_ID}/my-app:v1 .

Push image to GCR.

docker push gcr.io/[PROJECT-ID]/[IMAGE]

GCP Web Server

Here’s a quick script to stand up a web server based on Centos image.

gcloud compute instances create [VM-NAME] \
    --zone=[ZONE] \
    --image-family=debian-9 \
    --image-project=debian-cloud \
    --tags=allow-ssh,allow-health-check \
    --subnet=lb-subnet \
    --metadata=startup-script='#! /bin/bash
apt-get update
apt-get install apache2 -y
a2ensite default-ssl
a2enmod ssl
vm_hostname="$(curl -H "Metadata-Flavor:Google" \
http://169.254.169.254/computeMetadata/v1/instance/name)"
echo "Page served from: $vm_hostname" | \
tee /var/www/html/index.html
systemctl restart apache2'

GCP Static IP

Create a static IP.

gcloud compute addresses create your-app-static-ip \
--region us-central1

List static IP.

gcloud compute addresses list your-static-ip-name --region us-central1
# or
gcloud compute addresses list --filter="name=('live-tfc-static-ip-address')"

Release static IP.

gcloud compute addresses delete your-app-static-ip \
--region us-central1

Static Website on GKE

Here’s how to run your web application on Google Kubernetes Engine.

Create a Dockerfile. Place your web pages in the public-html directory.

FROM httpd:2.4
COPY ./public-html/ /usr/local/apache2/htdocs/

Build a container image for Google Container Registry (GCR).

# set your project
export PROJECT_ID=[project_id]
# build a container image
docker build -t gcr.io/${PROJECT_ID}/your-app:v1 .
# verify docker images
docker images

Upload the container image to GCR.

# authenticate
gcloud auth configure-docker
# upload image
docker push gcr.io/${PROJECT_ID}/your-app:v1

Create a container GKE cluster.

# create cluster
gcloud container clusters create your-app-cluster \
--num-nodes=2
# check clusters
gcloud compute instances list

Deploy your web application.

# create deployment
kubectl create deployment your-app \
--image=gcr.io/${PROJECT_ID}/your-app:v1
# see the pods
kubectl get pods

Expose your application to the Internet.

# expose your application
kubectl expose deployment your-app \
--type=LoadBalancer \
--port 80 \
--target-port 80
# get the external ip address
kubectl get service

Scale your application.

# scale to 3 replicas
kubectl scale deployment your-app --replicas=3
# display the replicas
kubectl get deployment your-app

Cleanup.

kubectl delete service your-app
gcloud container clusters delete your-app-cluster