Case Study Showcase

Movie Streaming Platform

Full-stack adaptive video streaming with HLS and AWS S3 integration

Next.js 15TypeScriptNode.jsExpressMongoDBAWS S3FFmpegSocket.ioHLS.jsTailwind CSS
DeploymentCloudinary + CDN
AccessPrivate
Codebase20.4 MB
Stack10 Technologies
The Challenge & Bottleneck

Core Problem Statement

"Delivering high-quality video content requires complex media processing and adaptive streaming to prevent buffering across varying network conditions."

Engineered Solution

Architectural Implementation

Decoupled architecture with Next.js 15 for the presentation layer and a RESTful Express.js API. Orchestrates video encoding via FFmpeg and uses HLS for delivery.

Engineering Deep Dive

Detailed review of tradeoffs, database models, scaling strategies, and microservices

Structural Trade-offs & Decisions

Used client-side FFmpeg (WASM) for localized processing to reduce server load, despite higher client-side resource requirements. Relies on S3 direct streaming for simplicity.

Context & Constraints

  • Video Streaming Architecture.
  • Cloud Media Storage (AWS S3) implementation.
  • Full-stack development with mission-critical media delivery.

Database Modeling & Storage Strategy

MongoDB for movie metadata and user profiles, utilizing denormalized documents for genre and tag optimization to speed up read queries.

Scaling Plan & Performance Roadmap

Future integration of AWS CloudFront CDN for edge caching and Kubernetes for automated horizontal scaling of the transcoding nodes.

System Subservices & Workers

Adaptive Video Streaming
Cloud Asset Storage
Real-time Interaction Hub
Video Transcoding Engine
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