The job search can be a competitive landscape, and having a standout resume is crucial. But what if your resume could be even more dynamic and accessible? Enter the Cloud Resume API Challenge, a fantastic opportunity to showcase your technical skills and create a modern, API-driven resume.
The primary goal of the challenge is to construct a serverless API that can serve resume data in JSON format. In order to achieve the goal of the project i utilised google cloud resources, particularly Google Cloud Functions and Cloud Firestore, along with GitHub Actions for continuous delivery and continuous deployment (CI/CD).
Not only did I gain valuable insights into the world of resume APIs, but I also honed my skills in several key areas which I decided to share with you here:
1. Cloud Functions
I delved into the world of cloud functions, a serverless execution environment that allows you to run code without managing servers. This was a great way to create a lightweight and scalable backend for my API.
2. Cloud Firestore
Cloud Firestore, a NoSQL database, served as the perfect storage solution for my resume data. Its flexible schema and ease of use made it a breeze to manage my information.
3. Google APIs
Working with Google APIs provided a powerful way to interact with my Cloud Firestore data and expose it through the API.
Building the Cloud Function with Node.js
For the challenge, I opted to use Node.js with JavaScript as my development environment. Here's a sample code snippet showcasing a basic Cloud Function that retrieves resume data from Firestore:
const { Firestore } = require('@google-cloud/firestore')
const functions = require('@google-cloud/functions-framework')
const dotenv = require('dotenv')
dotenv.config()
functions.http('resume', (req, res) => {
const firestore = new Firestore({
projectId: process.env.PROJECT_ID
})
const document = firestore.collection('resume').doc('kZXU70VsRQ2OuDBAjE')
document
.get()
.then((data) => res.send(data.data()))
.catch((err) => {
console.log(err)
})
})
This function retrieves data from a collection named "resume" in Firestore.
4. CI/CD with GitHub Actions
I implemented a CI/CD pipeline using GitHub Actions to ensured automated deployment to cloud function whenever I pushed changes to my code.
Beyond the Basics
The Cloud Resume API Challenge offers a springboard for further exploration. Here are some ways to take your project to the next level:
Authentication and Authorization: Implement mechanisms to control access to your resume data using authentication and authorization techniques.
Versioning: Integrate versioning to track changes to your resume data over time.
Additional Data Points: Include additional data points like portfolio links or project details to make your resume more interactive.
A Rewarding Journey
Participating in the Cloud Resume API Challenge was a rewarding journey. It allowed me to showcase my technical skills, build a modern resume format, and gain valuable experience with cloud technologies. If you're looking for a way to stand out from the crowd and level up your technical expertise, I highly recommend giving this challenge a try!
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