https://github.com/snehit221/aws-music-explore
A cloud-native scalable, serverless music search application with lyrics retrieval. It also allows users to listen the songs via Youtube and Apple Music song previews.
https://github.com/snehit221/aws-music-explore
angular aws aws-cloudformation aws-dynamodb aws-elasticache aws-vpc python
Last synced: 3 months ago
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A cloud-native scalable, serverless music search application with lyrics retrieval. It also allows users to listen the songs via Youtube and Apple Music song previews.
- Host: GitHub
- URL: https://github.com/snehit221/aws-music-explore
- Owner: snehit221
- Created: 2024-04-12T04:21:20.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-03T21:13:53.000Z (over 1 year ago)
- Last Synced: 2025-10-05T01:27:42.261Z (9 months ago)
- Topics: angular, aws, aws-cloudformation, aws-dynamodb, aws-elasticache, aws-vpc, python
- Language: TypeScript
- Homepage: https://drive.google.com/file/d/1PRhCotaE_aTnaTjU5phF7XRMoXBykRIF/view?usp=drive_link
- Size: 62.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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](https://drive.google.com/file/d/1PRhCotaE_aTnaTjU5phF7XRMoXBykRIF/view?usp=drive_link)
## Cloud Native Project Architecture:
## 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.