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2 min read8 weeks

Distributed URL Shortener with Analytics

MediumBTech CSEBCAMCABSc IT+5 moreWeb DevelopmentCloud Computing
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A high-throughput URL shortening service with custom aliases, click analytics, and a design that scales horizontally across multiple instances.

Problem Statement

URL shorteners look simple but teach core distributed systems ideas such as unique ID generation, caching, and scaling.

Objectives

1

Generate unique short codes at scale

2

Serve redirects with low latency using caching

3

Collect click analytics asynchronously

4

Deploy multiple replicas behind a load balancer

Modules

M1

Shortening Service

Code generation, custom aliases, and expiry.

M2

Redirect Service

Cached lookups for fast redirects.

M3

Analytics

Clicks by time, location, and device.

M4

Deployment

Containers, replicas, and autoscaling configuration.

Expected Output

A service that shortens links, redirects in milliseconds, and shows click analytics while running on several replicas.

Future Scope

QR codes, link previews, abuse detection, and rate limiting per user.

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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: Redis, Spring Boot, Java, Docker, Kubernetes. Basic knowledge of these technologies is recommended before starting.