×

Giffy Multicloud Automation Project

This case study explains how CI/CD operations are streamlined by integrating Jenkins, Terraform, and Google Cloud services, also simplified the management of infrastructure and applications, offering benefits like cost optimization and increased flexibility.

Giffy Multicloud Automation Project

Overview

The Giffy Multicloud Automation Project intends to automate the CI/CD pipelines using Jenkins, Docker, Terraform, and Maven. It provides a cross-project deployment topology within Google Cloud Platform (GCP), in which the Jenkins agent and master are in a single project, and the application is deployed within Google App Engine in another project. It provides scalability, automation, and integration of several cloud services.

Objectives

  • Jenkins Master Setup Automated from Jenkins Configuration as Code (JCasC)
  • Containerized images
  • Infrastructure as Code (IaC): Terraform provisioning of infrastructure
  • Cross-Project Deployment: Deploy apps in numerous GCP projects
  • Management: Build apps with Maven and an image repository in Google Artifact Registry
  • Source Code Management: Use Beanstalk repositories
  • Domain & DNS Configuration: Use domains with YAML managed by GCP Cloud DNS.

Tools and Technologies Used

CI/CD Pipeline Architecture

The following diagram represents the high-level automation pipeline used in the Giffy Multicloud Automation Project.

Implementation

1. Jenkins Master Setup

Containerized Jenkins Master with Dockerfile, jcasc.yml, and pre-bundled critical plugin set.

Job & Pipeline Configuration integrated through Groovy scripts.

Jenkins master is 1 executor and is labeled as jcasc1.13 in the Google Artifact Registry.

An automatic approval script was used in jcasc.yml, such that pipelines are auto-approved.

2. Infrastructure Provisioning with Terraform

The GCP VM instance is set up with the Jenkins Custom image.

main.tf script, which would automatically bind the instance into a domain DNS zone.

3. Pipeline Execution Process

  • Source Code Management: Beanstalk repo
  • Build & Deployment Pipeline
  • Source Checkout (Beanstalk)
  • Code Compilation (Maven Compile)
  • Unit Testing (Maven Test)
  • Artifact Packaging (Maven Package)
  • Deployment to GCP App Engine

4. Cross-Project Application Deployment Setup

  • App Engine is deployed in another GCP project
  • Service Account Configuration Required
  • Created service account: e.g. giffyuser
  • Roles applied in the giffyuser_project ID

App Engine Admin, App Engine Deployer, Cloud Build Editor, Compute Storage

Admin, Storage Admin, Storage Object Creator, Storage Object Viewer.

5. App Engine Configuration & Deployment

Deployment Pipeline features:

  • Cross-project access setup.

Results and Business Impact

  • Reduced Deployment Time: Automated CI/CD pipeline saved 40% of deployment.
  • Cross-Project Agility: Enabled smooth application deployment between GCP projects 100%
  • Improved Security: Access control based on roles and service accounts provided secure deployments.
  • Scalability: Terraform Infrastructure-as-Code technology allowed cloud resources to be provisioned in real time.

Conclusion

The Giffy Multicloud Automation Project successfully streamlined CI/CD operations by integrating Jenkins, Terraform, and Google Cloud services. The cross-project deployment approach ensures security, automation, and scalability. This implementation can be extended to other multi-cloud environments for enhanced DevOps automation.




Trendy