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This is my implementation for the AWS workshop "Build a Real-Time Leaderboard with Amazon Aurora Serverless and Amazon ElastiCache." The goal of this project is to create a scalable, real-time leaderboard system for a multiplayer gaming platform.

The project demos how to use Amazon Aurora Serverless for managing relational data and Amazon ElastiCache for high-speed leaderboard data processing. It uses serverless architecture and AWS services to add scalability, security, and cost efficiency.

Goals:

  1. Design a schema for relational data.
  2. Implement real-time data processing using ElastiCache(for redis)
  3. Expose APIs for client interaction.
  4. Authenticate users via Amazon Cognito.
  5. Test and deploy the application using AWS Lambda and API Gateway.

Technologies Used:

  • Amazon Aurora: Handles relational data like user profiles and scores.
  • Amazon ElastiCache(for Redis): Stores leaderboard data for real-time performance.
  • AWS Lambda: Executes serverless backend logic.
  • Amazon API Gateway: Exposes REST APIs.
  • Amazon Cognito: Manages user authentication and authorization.
  • AWS Secrets Manager: Secures database credentials and sensitive info
  • AWS SDK for Node.js: Helps in interacting with AWS services.

Setup Instructions

If you want to test this, you need the following

  • An AWS account with admin permissions.
  • AWS CLI installed and configured.
  • Node.js installed locally.

Steps

  1. Clone this repository:

    git clone https://github.com/thesarfo/real-time-leaderboard.git
cd real-time-leaderboard

  2. Deploy the networking and resource setup:

    bash scripts/create-networking.sh
bash scripts/create-user-pool.sh
bash scripts/create-user-pool-client.sh
bash scripts/create-lambda.sh
bash scripts/create-rest-api.sh

  3. Populate the database:

    node scripts/createTable.js
node scripts/insertGames.js

  4. Load Redis data:

    node scripts/loadRedis.js

  5. Test the setup:

    node scripts/testDatabase.js
node scripts/testRedis.js

  6. Start using the application by calling the APIs.