Keyboard Bilingual Deployment

Keyboard Bilingual Deployment
Technologies: AWS, GCP, Docker, Kubernetes, CI/CD

A detailed deployment pipeline for the Keyboard Bilingual application, ensuring scalability, reliability, and high availability.

Deploying a Full-Stack Typing Application with Google Cloud Platform

Deploying a full-stack application can be a complex process, but with Google Cloud Platform (GCP), we can streamline the workflow using tools like Artifact Registry and Google Kubernetes Engine (GKE). This guide outlines the deployment process for our typing application, which consists of a React-based frontend and a Flask-based backend.

Architecture Overview

Our application architecture includes:

  • Frontend: A React application providing the typing interface
  • Backend: An API server handling user data and authentication

Deployment Process

1. Container Registry Setup

We use GCP's Artifact Registry to store Docker images for both the frontend and backend. The deployment script automates the process of building, tagging, and pushing these images to the registry.

Registry Path Format

      # Example registry path
      ${REGION}-docker.pkg.dev/${PROJECT_ID}/${ARTIFACT_REPO}/${IMAGE_NAME}

2. Deployment Script

Our deployment script simplifies the process by automating the following steps:

  • Building Docker images locally
  • Tagging images with the appropriate registry path
  • Pushing images to the Artifact Registry

Build & Push Commands

      # Build and tag images
      docker build -t "${IMAGE_NAME}" .
      docker tag "${IMAGE_NAME}" "${IMAGE_PATH}:latest"

      # Push to registry
      docker push "${IMAGE_PATH}:latest"

3. Authentication

Before running the deployment script, ensure the following:

  1. Install the gcloud CLI
  2. Authenticate with GCP
  3. Configure Docker for Artifact Registry:

Docker Authentication

      gcloud auth configure-docker "${REGION}-docker.pkg.dev"

Next Steps

After deploying the application, complete the following steps:

  • Configure your Kubernetes cluster
  • Set up load balancers
  • Configure DNS settings
  • Set up SSL certificates

Always test your deployment in a staging environment before going live to ensure everything works as expected.

Conclusion

Deploying a full-stack application with GCP provides a scalable and efficient solution for managing modern applications. By leveraging tools like Artifact Registry and GKE, we can ensure a smooth deployment process while maintaining high performance and reliability.

GitHub Repository