Skip to Content

Design a proximity service (yelp)

Home | Coding Interviews | System Design | Design a proximity service (yelp)

Proximity services help users find and access various services given their current location. The functional requirements are for users to be able to add an attraction such as a business and for users to be able to search for attractions and add reviews to attractions. The nonfunctional requirements are high scalability to support a large user base (50 million daily active users) as well as low latency and high availability. Assume 1,000 new attractions are added a day and the average users leaves 2 reviews per month.

Posted by grwgreg 3 months ago

Related Problems

Design a url shortener service (similar to tinyurl).

1. Generate expiring unique short URL from provided URL

2. Redirect users to the correct website when they navigate to the short URL

A video service (like youtube) has many viewers watching videos. Given a stream of the video IDs that are being watched, we need to find the top K most viewed videos for different periods of time (1 hour, 1 day, 1 month, all time). For the top K videos returned, we also want the count of views during this period.

Sending user notifications is a common requirement in system design. Design a notification service for an organization. The system will use shared services for the underlying messaging implementation (email, sms, push notifications, etc) so the actual messaging implementation does not need to be designed. The system should support a user publishing a notification to a single user or groups of users. Notifications can be triggered manually via a web UI or programmatically via an API. Users should be able to view their past notifications they published. If a user is unable to receive a notification, they should still receive it at the next opportunity and not miss the message. The notification service should scale to billions of notifications per day, with messages delivered within a few seconds, with five 9s uptime.

Functional Requirements

1. As users type text in a search box, show the top 10 auto complete results with very low latency

2. Analytics will be collected on what the user types