mvulcu / backend_CVcloud

Backend for the GCP Resume Challenge with Python serverless functions, Firestore integration, and CI/CD using Cloud Build.

Google Cloud Platform (GCP) Resume Challenge

Welcome to my GCP Resume Challenge project! This is a serverless resume, showcasing my skills and experiences in cloud technologies, particularly within the Google Cloud Platform. Here, I'll take you through what I did, how I did it, and why I made certain decisions both in terms of what to do and how to execute it.

Overview

This project involves the creation of a serverless, dynamic resume hosted on GCP. It's not just a static display of my professional journey, but also a testament to my skills in cloud architecture, serverless technologies, and modern web development practices.

What I Did

1. Created a Static Web Resume:

   • Designed and developed a resume in HTML/CSS, showcasing my professional background.
   • Integrated JavaScript to add interactive elements like a visitor counter.

2. Implemented Serverless Backend:

   • Used Google Cloud Functions to handle backend processes such as retrieving and updating the visitor count.

3. Data Storage with Firestore:

   • Chose Google Cloud's Firestore for storing and managing the visitor count data.

4. Infrastructure as Code:

   • Utilized Terraform for defining and deploying all the cloud infrastructure in a codified and version-controlled manner.

5. CI/CD Pipeline:

   • Configured GitHub and Google Cloud Build for continuous integration and deployment, ensuring updates and changes are automatically and safely deployed to production.

How I Did It

Frontend Development

• HTML/CSS: Crafted a clean, responsive design to present my resume.
• JavaScript: Wrote a script for dynamically displaying the visitor count.

Backend and Cloud Functions

• Python: Chose Python for Cloud Functions due to its simplicity and efficiency.
• Firestore Integration: Used Google Cloud Client Libraries in Python for interacting with Firestore.

Terraform for IaC

• Defined the entire cloud infrastructure needed for this project in Terraform, including Cloud Functions, Firestore, and necessary permissions.

CI/CD Setup

• Integrated GitHub with Google Cloud Build to automate the testing and deployment process.

Why I Did It

Technology Choices

• GCP and Serverless: Opted for GCP to showcase my expertise in this cloud platform and serverless to demonstrate the ability to build scalable, efficient applications.
• Terraform: Chose IaC for its ability to manage infrastructure in a reproducible way, making the deployment process transparent and efficient.
• Python: Selected for backend logic due to its wide acceptance and ease of use in cloud environments.

Design and Implementation Decisions

• Static Site with Dynamic Elements: This approach balances simplicity with interactivity, ensuring the site is easy to host and manage while still being engaging.
• Firestore for Real-Time Data: Enables real-time visitor count updates, showcasing real-time data handling capabilities.

Conclusion

This project is more than a digital resume; it's a reflection of my skills in cloud-based development and my understanding of modern web technologies. It demonstrates my ability to leverage GCP's serverless architecture to build a scalable, responsive web application.

Feel free to explore the site and see how the visitor count changes with each visit, which is a small yet powerful demonstration of real-time data processing and serverless backend capabilities.

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Thank you for taking the time to explore my GCP Resume Challenge project!