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Next.js 15TypeScriptNode.jsExpressMongoDBAWS S3FFmpegSocket.ioHLS.jsTailwind CSS

Movie Streaming Platform

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

A comprehensive movie streaming solution featuring adaptive bitrate streaming (HLS), real-time interactions, and scalable cloud media storage.

The Problem

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

Architecture

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.

Scalability

Media storage is managed via AWS S3, ensuring infinite scalability. The stateless backend is ready for horizontal scaling, with HLS ensuring optimal delivery to end-users.

Performance

Next.js Turbopack for fast builds and HLS.js for optimized playback. Uses AWS S3 presigned URLs for direct client-to-cloud secure media delivery.

Key Features

Adaptive Bitrate Streaming using HLS.js for buffer-free playback
Real-time communication and progress tracking via WebSockets
Secure video upload pipeline with server-side FFmpeg transcoding
Authentication with Next-Auth and JWT-based session management
Client-side video capabilities leveraging FFmpeg WASM
Responsive UI with Radix UI and Tailwind CSS optimization

Core Industry Services

Adaptive Video StreamingCloud Asset StorageReal-time Interaction HubVideo Transcoding Engine

Project Ecosystem

Tamiz Uddin (Lead Developer)

Engineering Deep Dive

An inside look at the structural decisions, trade-offs, and scaling plans devised during implementation.

Context & Constraints

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

Architecture Trade-offs

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.

Database Modeling

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

Scaling Plan

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

Repository Insights

Initialized
June 2025
Last Commit
July 2025
Source Size
20.4 MB
Visibility
Private

Architecture data and repository metrics are synchronized via CI/CD telemetry.