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Music Explore

Abstract

Music Explore is an innovative cloud-native service that enables users to discover and enjoy music through lyrics. It employs serverless architecture and ETL operations to curate a rich database of song information, enhancing user engagement by appending YouTube watch URLs and Apple Music song preview links to song cards. The application provides a personalized user experience by featuring randomly selected song cards from previous searches on the home screen, promoting song rediscovery.

Introduction

In today’s world, music enthusiasts are constantly seeking innovative platforms that facilitate seamless exploration and discovery of their favorite tunes. Music Explore aims to bring a personalized touch to the user experience by leveraging advanced cloud-native technologies. By caching frequently searched song queries and enriching song data with dynamic content, Music Explore offers a unique and engaging music discovery experience.

DEMO VIDEO:

Watch the Demo

Cloud Native Project Architecture:

Architecture Diagram

List of Services Used

  • Compute Services:

    • AWS Elastic Container Service (ECS) & Elastic Container Registry (ECR)
    • AWS Lambda

  • Storage Service:

    • AWS DynamoDB
    • AWS S3

  • Network Services:

    • AWS Virtual Private Cloud (VPC)
    • API Gateway

  • General Services:

    • Amazon ElastiCache (Redis)
    • AWS SQS

Explanation of Services

  • Why Chosen:
    • ECS & ECR: Seamlessly deploy containerized frontend, ensuring scalability and reliability.
    • Lambda: Serverless backend operations for dynamic scaling and cost efficiency.
    • DynamoDB: Flexible, scalable NoSQL database for storing song information.
    • VPC: Ensures network isolation and security for backend operations.
    • API Gateway: Centralizes API management for efficient communication between frontend and backend.
    • ElastiCache: Improves performance by caching frequently accessed song data.
    • SQS: Provides asynchronous message queuing for scalable and reliable backend processing.

Deployment & Delivery Model

  • Deployment Model: Public cloud for scalability and reliability, leveraging AWS services.
  • Delivery Model: Platform as a Service (PaaS) & Function as a Service (FaaS) for managed infrastructure and rapid development.

Data Storage & Programming Languages

  • Data Storage: DynamoDB for persistent storage of song information, Redis Cache for temporary data caching.
  • Languages Used: JavaScript/TypeScript for frontend (Angular), Python for backend (AWS Lambda), ensuring robustness and scalability.

Deployment to Cloud

  • Deployment: Entire system deployed using AWS CloudFormation, enabling infrastructure as code and automated provisioning.
  • Serverless Architecture: Leveraging AWS Lambda for backend processing and ECS Fargate for frontend deployment, achieving cost efficiency and scalability.

Additional Details

  • Data Enrichment: Music Explore enriches song data with YouTube watch URLs and Apple Music song preview links, providing users with dynamic content.
  • Personalization: The application's home screen features randomly selected song cards from the user's previous searches, fostering a sense of familiarity and discovery.
  • Security: Utilizing AWS VPC for network isolation and fine-grained access control ensures data security and compliance.
  • Scalability: Leveraging AWS services such as Lambda and DynamoDB allows Music Explore to scale seamlessly based on demand, ensuring optimal performance for users.
  • Cost Efficiency: By adopting serverless architecture and leveraging managed services, Music Explore minimizes operational overhead and infrastructure costs.