Command list of GCP

Display subnet list in AAA region and BBB region.
> gcloud compute networks subnet list –filter=”region:(AAA BBB)”

Create Kubernetes cluster in AAA region with auto-scaling setting.
And, node number setting is below.
Initial node number: 30
Least node number: 15
Max node number: 50
> gcloud container cluster create test-cluster –num-nodes 30 –enable-autoscaling –min-nodes 15 –max-nodes 50 –zone AAA.

Execute script(test_script.sh) at the time of instance starting.
> gcloud compute instances create test-instance –metadata-from-file startup-script=scripts/test_script.sh

Access container shell
> kubectl exec -it my-pod –container my-app — /bin/bash

Set SQL injection countermeasure by applying Cloud Armor.
> gcloud compute security-policies rules create
with below parameter.
    — expression “evaluatePreconfiguredExpr(‘sqli-canary’)” — action deny-403

Display every GCE instances in zone AAA and zone BBB.
> gcloud compute instances list –filter=”zone:(AAA BBB)”

At the time of file upload to Cloud Storage, use encryption key of client stored in the on-premise environment.
> Designate “GSUtil: encryption_key=[YOUR_ENCRYPTION_KEY]” in the gsutil command.

How to access my-image.jpg in my-bucket of Cloud Storage.
> Access below URL.
https://storage.googleapis.com/my-bucket/my-image.jpg

Display Cloud SDK configuration list and enable other setting.
> gcloud config configurations list
> gcloud config configurations activate  XXXX

Create custom instance with 4 vCPU and 4GB memory.
> gcloud compute instances create my-custom-instance –custom-cpu 4 –custom-memory 4

Enable versioning function for the file stored in the Cloud Storage
> gsutil versioning set on gs://my-bucket

Display image list including “centos”
> gcloud compute images list –filter=name:ubuntu

Access a cluster created by other member
> gcloud container clusters get-credentials my-cluster
-> kubeconfig entry will be generated.Change default zone to AAA zone
> gcloud config set compute/zone AAA

 

Publicize your service.
Receive traffic with port number 8080 and publicize to external user with port 80 by Loadbalancer.
> kubectl expose deployment my-deployment –type LoadBalancer –port80 –target-port 8080

Expand IP range
> gcloud compute networks subnets expand-ip-range my-subnet –region AAA –prefix-length=XX

 

Deploy Web application to Kubernetes
> Execute docker build command to create container image.
And upload it to Container Registry.

 

Check the change contents in advance before updating your configuration with yaml file.
> gcloud deployment-manager deployments update my-config –config new-config.yaml –preview

 

Conducting test before migrating your application from App Engine standard environment to Flexible environment.
> set env: flex to app.yaml.
Execute gcloud app deploy command with –-no-promote option.
> After testing, migrate it by executing below command.
gcloud app versions migrate command.

 

Access relay server by SSH protocol
> gcloud compute ssh username@bastion-host

 

Create Kubernetes cluster in zone AAA with node number 6.
> gcloud container clusters create my-cluster –zone:AAA –num-nodes 6

 

Install App Engine Extended function for python2
> gcloud components install app-engine-python

 

Set auto-scaling with Average CPU usage 70% and max instance size 3.
> gcloud compute instance-groups managed set-autoscaling my-instance-group –max-num-replicas 3 –target-cpu-utilization 0.70

 

Deploy your application to production environment
> Execute gcloud app deploy command.

 

Publicize your file uploaded in the bucket by executing gsutil command tool.
> gsutil defacl set public-read gs://xxxx..com

 

Create a function on the Cloud Functions
> gcloud functions deploy

 

Access my project by Cloud SDK. JSON key file has already been created.
> gcloud auth activate-service-account my-service-account@my-project.xxxxx.com –key-file mykey.json –project test-project

Change account setting
> gcloud config configurations activate (Configuration name)

Allow users to upload PDF file within 2 hours
> gsutil signurl -m PUT -d 2h my-json-key.json gs://my-buckt/xxxx.pdf

Export data in BigQuery to Cloud Storage by CSV format
> bq extract my-table gs://my-bucket/xxxx.csv

Display deployment list
> gcloud deployment-manager deployments list –project my-project

Restore traffic to previous version.
> gcloud app services set-traffic my-service –splits <previous version> = 1

Calculate query execution of Bigquery
> Execute bq query –dry-run command.
Use Pricing Calculator and exchange byte expectation to cost.

Enable Google function by your application
> gcloud services enable cloudfunctions.googleapis.com

Create new role by copying existing role
> gcloud iam roles copy xxxx yyyy

Update deploy configuration without service stop
> gcloud deployment-manager deployments update –config new_config.yaml

Deploy java application by using App Engine
> Execute gcloud app deploy command by designating service component by app.yaml file.Display member and role list
> gcloud projects get-iam-policy my-project