सारंग's Notes

GCP CI-CD Project

2 min read

This is raw notes from GCP CI/CD Handson from Intel Learning Platform 1

Push our code to github repository

Dockerfile

FROM python:3.11-slim-bullseye
WORKDIR /app
COPY requirements.txt requirements.txt
RUN pip3 install -r requirements.txt
COPY . .
EXPOSE 8080
CMD [ "python3", "-m", "helloworld", "run", "--host=0.0.0.0" ]

Our source code helloworld.py

from flask import Flask
 
import random
 
app = Flask(__name__)
 
def calculate_lucky_numbers():
 
    numbers = random.sample(range(1,53),5)
    return str(numbers)[1:-1]
 
@app.route("/")
def hello():
 
    message = "<h1 style=\"color: #001cff;\">Hello world from intel cloud.U</h1>"
    message += "<h2>Version 2.0</h2>"
    message += "<p> Your lucky numbers are <b>"
    message += calculate_lucky_numbers() + "</b></p>"
    return (message)
 
app.run(host='0.0.0.0', port=8080, debug=True)

requirements.txt

flask

connect the github repo to GCP Cloud Source Repository

goto cloud build to configure a trigger

  • setup build trigger button create trigger
  • name
  • Event: Push to a branch
  • source: github
  • branch main
  • configuration: cloud build
  • location: repository
  • cloud build configuration file location: /cloudbuild.yaml

Create cloudbuild configuration file in git repo

cloudbuild.yaml

steps:
 # build the container image
 - name: 'gcr.io/cloud-builders/docker'
   args: ['build', '-t', 'gcr.io/$PROJECT_ID/helloworld:$COMMIT_SHA', '.']
 # push the container image to container registry
 - name: 'gcr.io/cloud-builders/docker'
   args: ['push', 'gcr.io/$PROJECT_ID/helloworld:$COMMIT_SHA']
 # Deploy container image to cloud Run
 - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
   entrypoint: gcloud
   args:
   - 'run'
   - 'deploy'
   - 'hello-world-service'
   - '--image'
   - 'gcr.io/$PROJECT_ID/helloworld:$COMMIT_SHA'
   - '--region'
   - 'us-east1'
   - '--allow-unauthenticated'

images:
  - 'gcr.io/$PROJECT_ID/helloworld:$COMMIT_SHA'

push to repo

check for trigger

check the build is running

look for container is stored in google container registry

Addressing Errors in Code

In case some bugs has found in production release we can redirect the traffic to old revisions with cloud run by switching the 100% traffic flow to older revisions

References:

Credly badge for the above course can be found here https://www.credly.com/org/intel/badge/cloud-devops

This Hands on is based on A book Continuous Delivery with Docker and Jenkins: Create secure applications by building complete CI/CD pipelines”, which was written by Rafal Leszko.

Footnotes

  1. Intel Cloud Learning Devops Training Course - Link ↩

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