CI/CD Project

This GitHub Actions workflow automates the building, testing, deploying, and monitoring process for a Kubernetes application using Docker, Helm, and Google Cloud Platform (GCP) services.
This pipeline gives developers the option to deploy their app with a simple push.

Workflow Overview

🛠️ Build: The workflow starts with building a Docker image of the application, pushing it to Docker Hub, packaging the Helm chart and upload it to GCP bucket.

✅ Test: After building, the application is deployed to a test cluster using the Helm chart. Helm tests are then executed on the deployed application.

🌐 Deploy: Upon successful testing, the application is deployed to a production cluster using the Helm chart.

📈 Monitor: Finally, the monitoring components (Prometheus and Grafana) are installed on the production cluster if not already present.

Workflow Setup

1. Ensure you have these credentials saved as secrets in your repository settings:

   • DOCKER_USERNAME: Your Docker Hub username.
   • DOCKER_PASSWORD: Your Docker Hub password.
   • API_KEY : Your app API key , if there is a need
   • GCP_SERVICE_ACCOUNT_KEY: Contents of your GCP service account key JSON file.

2. Configure the required environment variables in your .github/workflows/workflow.yaml:

   • PROJECT_ID: Your GCP project ID.
   • BUCKET_NAME: Name of the GCP bucket to store Helm packages.
   • HELM_PACKAGE: Helm package file name.
   • TAG: Tag for Docker image and Helm chart version coming from versionung.sh.

3. That's it! Push your code changes to the main branch to trigger the workflow.

• GCP serverless Cloud Functions can be triggered automatically using an event trigger, but for clarity, it is triggered manually during the cleanups job in the workflow.