Estimate the scale of the system you are going to design...
Total life expetancy: 5 years
Users: 10 million
assuming 100 million unique short urls
1 billion redirections = 7 requests/sec
storage req: 100 million * 371 byes - 37.1 GB
Define what APIs are expected from the system...
POST /api/v1/shorten-url/ 201 {data={"url": "
GET /api/v1/redirect-url/
302 - if expiration is required
301 - if no expiration
Defining the system data model early on will clarify how data will flow among different components of the system. Also you could draw an ER diagram using the diagramming tool to enhance your design...
Model urls {
id pk,
created_at TIMESTAMP,
url VARCHAR(255),
shortened_url VARCHAR(100),
expire_at TIMESTAMP
}
You should identify enough components that are needed to solve the actual problem from end to end. Also remember to draw a block diagram using the diagramming tool to augment your design. If you are unfamiliar with the tool, you can simply describe your design to the chat bot and ask it to generate a starter diagram for you to modify...
client -> alb -> server -> (cache) -> database
Explain how the request flows from end to end in your high level design. Also you could draw a sequence diagram using the diagramming tool to enhance your explanation...
For POST /api/v1/shorten-url/ 201 {data={"url": "
For GET /api/v1/redirect-url/
Dig deeper into 2-3 components and explain in detail how they work. For example, how well does each component scale? Any relevant algorithm or data structure you like to use for a component? Also you could draw a diagram using the diagramming tool to enhance your design...
Explain any trade offs you have made and why you made certain tech choices...
Try to discuss as many failure scenarios/bottlenecks as possible.
What are some future improvements you would make? How would you mitigate the failure scenario(s) you described above?