https://github.com/sanjay-k08/cloud-devops-pipeline

https://github.com/sanjay-k08/cloud-devops-pipeline

ci-cd cloudbuild cloudrun cloudsourcerepositories containerregistry devops docker flask gcp python

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/sanjay-k08/cloud-devops-pipeline
• Owner: sanjay-k08
• Created: 2025-04-11T07:59:35.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-11T08:18:30.000Z (about 1 year ago)
• Last Synced: 2025-07-23T19:05:39.547Z (11 months ago)
• Topics: ci-cd, cloudbuild, cloudrun, cloudsourcerepositories, containerregistry, devops, docker, flask, gcp, python
• Language: HTML
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Cloud-DevOps-Pipeline

This project demonstrates how to build and deploy a Continuous Integration (CI) pipeline using various tools available in Google Cloud Platform (GCP). It walks through the full lifecycle of a Python Flask application, from writing code and containerizing it, to pushing it through an automated build process using Cloud Build, and finally deploying the built image to a virtual machine instance using Compute Engine.

![Blog-Diagram](https://github.com/user-attachments/assets/66ecfb50-fc62-406d-988f-e8c65a699c65)

# Project Objectives

Set up a Git repository using Cloud Source Repositories

Build and test a simple Python Flask application

Create a Dockerfile to containerize the application

Use Cloud Build to build Docker images

Store Docker images in Container Registry

Create build triggers to automate the CI/CD process

Deploy Docker containers using Compute Engine

Test and verify build and deployment pipelines

# Tools & Technologies Used

Google Cloud Source Repositories – Git hosting

Google Cloud Build – Continuous Integration tool

Google Container Registry – Image storage and management

Google Compute Engine – Deploy and test Docker containers

Docker – Containerization

Python & Flask – Web application

Git – Version control

Cloud Shell & Cloud Shell Editor – Development and testing environment

# Project Workflow Overview

1. Create a Git Repo – Using Cloud Source Repositories to manage the source code.

2. Build a Flask App – A simple Flask app with HTML templates is created.

3. Containerize with Docker – Dockerfile is added to define how the app is packaged.

4. Build & Store Image – Use Cloud Build to build Docker image and push it to Container Registry.

5. Create Triggers – Set up Cloud Build triggers to automate builds on Git push.

6. Deploy & Test – Launch a Compute Engine VM and deploy the container directly from Container Registry.

# Directory Structure

    css

    devops-repo/

    ├── Dockerfile

    ├── main.py

    ├── requirements.txt

    ├── templates/

    │   ├── layout.html

    │   └── index.html

# Tasks Breakdown

    Task 1: Create Git repository

    Task 2: Create and test Flask app in Cloud Shell

    Task 3: Define Dockerfile for container build

    Task 4: Use Cloud Build & Container Registry for image creation

    Task 5: Automate build pipeline with triggers

    Task 6: Deploy and test Docker image using Compute Engine

This project serves as a practical introduction to DevOps practices using Google Cloud Platform. It highlights how easily you can automate application builds, image management, and deployments using native GCP tools, enhancing your CI/CD pipeline and reducing manual effort.