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Harsh Sharma

Building Scalable Architectures through Docker Containers

/ 2 min read

docker , postgresql , microservices , google api , containerization , scalability , devops 
[NOTE]
Currently I am covering the brief overview of the project, I will soon be updating it with the Exact Architecture and Github Code link.

Project Overview

In this project, I successfully dockerized the components of a full-stack application, which includes a ReactJS frontend powered by Vite, a FastAPI backend, and a PostgreSQL database. The project also integrates Google APIs to access and manage data from spreadsheets, ensuring seamless data handling and real-time updates.

Components

  • Backend (FastAPI): The backend is powered by FastAPI, known for its speed and performance. It handles API requests and communicates with the PostgreSQL database to retrieve and store data.

  • Database (PostgreSQL): A PostgreSQL database is used for storing application data. The backend interacts with this database through efficient queries, ensuring fast data retrieval and persistence.

  • Frontend (ReactJS with Vite): The ReactJS application is built using Vite, providing fast build times and an optimized development experience. It interacts with the FastAPI backend to fetch and display data.

  • Google API Integration: The project leverages Google APIs to access Google Sheets. This integration allows the backend to retrieve, update, and manipulate spreadsheet data in real-time, providing seamless synchronization between the app and external data sources.

Dockerization

Each component (frontend, backend, and database) is containerized using Docker to ensure consistent environments and simplify deployment. Docker enables quick scaling and isolated environments for each service, making the application easy to manage and deploy on various platforms.

Key Features:

  • Containerized Microservices: Frontend, backend, and database run in isolated Docker containers.
  • Fast API: High-performance backend built with FastAPI.
  • PostgreSQL: Reliable, scalable database for data storage.
  • Google Sheets Integration: Real-time access and manipulation of spreadsheet data through Google APIs.

Conclusion

By Dockerizing the frontend, backend, and database components, this project demonstrates how to efficiently build, deploy, and scale a full-stack application. The integration of Google APIs enhances the application’s capability by providing seamless spreadsheet access, making it a robust and scalable solution for modern web applications.