Gaming Leaderboard

👨‍💻 Overview

A full-stack gaming leaderboard system that enables users to:

• Submit scores
• View a dynamic leaderboard (Top 10)
• Check a player's rank

The backend is built with Java + Spring Boot, the frontend with Vue 3 + Quasar, and the system is fully integrated with PostgreSQL and New Relic APM for monitoring.

---

🚀 Features Implemented

• ✅ Score submission API
• ✅ Top 10 leaderboard API
• ✅ Player rank lookup API
• ✅ PostgreSQL database with test data (10k users, 50k sessions)
• ✅ Full Vue 3 + Quasar frontend
• ✅ New Relic monitoring with real traffic
• ✅ Load testing with Python script

---

🧪 Load Simulation

Load testing was done using a custom Python script simulate_load.py that:

• Submits 1000+ randomized scores across users
• Generates traffic to /submit endpoint
• Triggers live leaderboard and rank updates

---

📈 New Relic Monitoring

New Relic was integrated using the Java Agent. Metrics observed:

• Application throughput
• Average response time
• Endpoint performance (/submit, /top, /rank/{userId})
• Database activity

📸 Screenshots:

All monitoring visuals are stored in:

docs/newrelic-screenshots/

🔗 Direct Link to Dashboard:

Click here to view the New Relic Dashboard

---

🧰 Tech Stack

• Backend: Java 17, Spring Boot, JPA, PostgreSQL (Docker)
• Frontend: Vue 3, Quasar CLI, Composition API
• Monitoring: New Relic APM
• Testing: Postman, Python load script

---

📂 Project Structure

gaming-leaderboard/
├── backend/                 # Spring Boot backend
│   └── docker-compose.yml   # PostgreSQL & pgAdmin
├── frontend/                # Vue + Quasar frontend
├── simulate_load.py         # Load testing script
├── docs/
│   ├── newrelic-screenshots/ # New Relic APM screenshots
│   └── ui-screenshots/       # Gaming leaderboard UI screenshots
└── README.md                # Project documentation (this file)

---

📦 How to Run

1. Start PostgreSQL with Docker:

   cd backend
   docker-compose up -d

2. Run backend with New Relic agent:

   cd backend
   JAVA_OPTS="-javaagent:./newrelic/newrelic-agent.jar" ./mvnw spring-boot:run

3. Run backend without New Relic (alternative):

   cd backend
   ./mvnw spring-boot:run

4. Run Quasar frontend:

   cd frontend
   quasar dev

5. Run load script:

   python simulate_load.py

---

Made with ❤️ by Mallikarjunaiah B M LinkedIn | vpmallikarjuna03@gmail.com | +91 7619413484