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2 min read14 weeks

Auto-Scaling Video Streaming Platform

HardBTech CSEMCAMTech CSEBE CSE+1 moreCloud Computing
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A video platform that transcodes uploads into multiple resolutions, streams them adaptively, and scales processing workers automatically with demand.

Problem Statement

Video delivery needs heavy processing and bandwidth, and fixed servers either fail under load or sit idle.

Objectives

1

Transcode videos into adaptive bitrate formats

2

Stream with automatic quality switching

3

Scale workers based on queue length

4

Deliver content through a CDN

Modules

M1

Upload & Queue

Resumable uploads and transcoding job queue.

M2

Transcoding Workers

Containerised workers producing HLS streams.

M3

Player

Adaptive bitrate player with quality selection.

M4

Autoscaling

Scaling rules and monitoring dashboards.

Expected Output

A platform where an uploaded video becomes available in several qualities and worker pods scale up and down with load.

Future Scope

Live streaming, DRM, and recommendation feeds.

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Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: AWS, Node.js, React, Docker, Kubernetes. Basic knowledge of these technologies is recommended before starting.