Gathering Requirements
When building a system like a URL shortener, it is essential to define clear functional and non-functional requirements to guide the development process. This step ensures the system addresses the needs of its users while adhering to performance, scalability, and reliability constraints.
Functional Requirements
These define what the system is supposed to do from the user’s perspective. For a URL shortener, key functional requirements include:
-
Shortening URLs
- The system should take a long URL (e.g.,
https://example.com/very/long/url
) and generate a short, unique identifier (e.g.,https://short.ly/abc123
).
- The system should take a long URL (e.g.,
-
Redirecting to Original URLs
- When a user accesses the shortened URL, the system should redirect them to the original URL.
-
Custom Shortened URLs (Optional)
- Users may want to create custom short links like
https://short.ly/my-link
.
- Users may want to create custom short links like
-
Analytics Tracking (Optional)
- The system can record data such as how many times a shortened URL was accessed, the location of users, and the device used.
-
User Management (Optional)
- Users can create accounts to view and manage their shortened URLs.
Non-Functional Requirements
These define the performance, scalability, and reliability characteristics of the system.
-
Scalability
- The system should handle high traffic, such as millions of URL redirections per day.
- It should support horizontal scaling, allowing additional servers to handle increased traffic.
-
High Availability
- The system should be available 99.9% of the time, ensuring users can access their URLs without disruptions.
-
Low Latency
- URL redirection should occur in less than 100ms for a seamless user experience.
-
Data Durability
- Once a URL is shortened, it should persist in the database even if a server crashes.
-
Security
- Prevent malicious activities like spamming or phishing by implementing validation and rate-limiting.
-
Global Accessibility
- The service should work seamlessly across multiple geographic locations, with minimal latency for global users.
Identifying Constraints
Understanding the constraints early ensures the system design remains practical and efficient.
-
Data Storage
- URLs and associated metadata (e.g., click counts, timestamps) must be stored efficiently. Using key-value databases like Redis or DynamoDB is common.
-
Uniqueness of Short URLs
- Shortened URLs must be unique. Collision-resistant algorithms or hashing functions should ensure this.
-
Scalability Challenges
- As the system grows, managing a massive number of records (URLs) while maintaining fast lookups becomes challenging.
-
Concurrency
- Multiple users may shorten URLs simultaneously, requiring mechanisms to prevent conflicts.
-
Handling Expiry (Optional)
- If URLs are allowed to expire, the system should efficiently remove or archive them.
-
Budgetary Constraints
- The system should operate within the allocated budget for infrastructure and maintenance.
Example Metrics for Constraints
| Metric | Requirement | Approach | |———————-|———————————|——————————————–| | Response Time | < 100ms | Use caching (e.g., CDN, Redis). | | Throughput | 10 million redirects/day | Scale horizontally with replicas. | | Storage | 10 TB for metadata storage | Use distributed databases. | | Downtime Allowance | < 44 minutes/month (99.9% uptime) | Implement redundancy and failover. | | Security | Block spam and prevent phishing | Implement validation and CAPTCHA. |