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Product Management System Design Question: TinyURL scalable URL shortening service architecture diagram

How does TinyURL work? [FREE]

Product Technical Hard Member-only
System Architecture Scalability Planning Performance Optimization Web Services SaaS Internet Infrastructure
Scalability System Design Microservices URL Shortening Database Optimization

TinyURL: Designing a Scalable URL Shortening Service

Introduction

The challenge at hand is to design and implement a scalable URL shortening service like TinyURL. This involves creating a system that can efficiently convert long URLs into short, easily shareable links while handling high traffic volumes and maintaining performance. Our goal is to develop a robust, scalable architecture that can support millions of users and billions of shortened URLs.

To address this challenge, I'll follow these steps:

  1. Clarify technical requirements
  2. Analyze the current state and technical challenges
  3. Propose technical solutions
  4. Develop an implementation roadmap
  5. Define metrics and monitoring strategies
  6. Assess and mitigate risks
  7. Outline a long-term technical strategy

Tip

Ensure the technical solution aligns with business objectives such as user growth, revenue generation, and operational efficiency.

Step 1

Clarify the Technical Requirements (3-4 minutes)

"I'd like to start by clarifying some key technical aspects of our URL shortening service. First, looking at the scale of operations, I'm assuming we're dealing with a high-traffic system that needs to handle millions of requests per day. Could you confirm our current and projected traffic volumes, and any specific performance targets we need to meet?

Why it matters: This determines our architecture choices and scaling strategy. Expected answer: Currently handling 10 million requests per day, expecting to grow to 100 million within a year. Impact on approach: Would need to design for horizontal scalability from the outset."

"Regarding the technology stack, I'm thinking we might be working with a modern web framework and a NoSQL database for scalability. Can you provide insights into our current tech stack and any constraints or preferences we need to consider?

Why it matters: Influences our choice of components and integration strategies. Expected answer: Currently using Node.js with MongoDB, open to exploring other technologies for better performance. Impact on approach: Could consider introducing a caching layer and evaluating alternative databases optimized for read-heavy workloads."

"In terms of security and compliance, URL shortening services can potentially be misused for malicious purposes. What are our current security measures, and are there any specific regulatory requirements we need to address?

Why it matters: Affects our approach to URL validation, rate limiting, and data retention policies. Expected answer: Need to implement robust anti-abuse mechanisms and comply with GDPR for user data protection. Impact on approach: Would need to incorporate URL scanning, rate limiting, and user data anonymization features."

"Lastly, considering the critical nature of the service, I'm curious about our current infrastructure and deployment model. Are we using cloud services, and what's our approach to ensuring high availability and disaster recovery?

Why it matters: Influences our architecture design and operational strategies. Expected answer: Currently deployed on AWS, looking to improve redundancy and reduce latency globally. Impact on approach: Would consider multi-region deployment and CDN integration for improved performance and reliability."

Tip

Based on these clarifications, I'll assume we're designing for a cloud-based, globally distributed URL shortening service with a focus on scalability, security, and high availability.

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