Given k kilometers as an input, find all the people who are within k kilometers from you, efficiently.
The core of this system can be used in locating stores near me, landmarks near me, nearby friends, electric vehicles near me, cars near me, etc.
The problem statement is something to start with, be creative and dive into the product details and add constraints and features you think would be important.
- answer the nearby location query efficiently
- the number people using the app are 1 million
- make your high-level components operate with high availability
- ensure that the data in your system is durable, not matter what happens
- define how your system would behave while scaling-up and scaling-down
- make your system cost-effective and provide a justification for the same
- describe how capacity planning helped you made a good design decision
- think about how other services will interact with your service
- ensure the data in your system is never going in an inconsistent state
- ensure your system is free of deadlocks (if applicable)
- ensure that the throughput of your system is not affected by locking, if it does, state how it would affect
Create a design document of this system/feature stating all critical design decisions, tradeoffs, components, services, and communications. Also specify how your system handles at scale, and what will eventually become a chokepoint.
Do not create unnecessary components, just to make design look complicated. A good design is always simple and elegant. A good way to think about it is if you were to create a spearate process/machine/infra for each component and you will have to code it yourself, would you still do it?
To understand the nuances and internals of this system, build a prototype that
- implement the algorithm/approach that you think of locally
This is a recommended tech-stack for building this prototype
| Which | Options |
|---|---|
| Language | Golang, Java, C++ |
These are the common pitfalls that you should keep in mind while you are building this prototype
- You cannot perform efficient search in 2D plane without going through all the points
- plaving with spatial data
- algorithm that powers geo location queries
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This assignment is part of Arpit's System Design Masterclass - A masterclass that helps you become great at designing scalable, fault-tolerant, and highly available systems.