List functional requirements for the system (Ask the chat bot for hints if stuck.)...
List non-functional requirements for the system...
Estimate the scale of the system you are going to design...
Assuming 100 millions urls are shortened per day:
QPS = 100*10^5 Kb per day
QPS ~ 1000 Kbps ~ 1 Mbps
Storage requirements: 150 bytes per query
Total = 1.5 TB per day
Total storage for 1 year = 1.5 * 365 ~ 450 TB
Total storage for 10 years = ~4500 TB ~4.5 PB
Define what APIs are expected from the system...
Input to API should be original long url string
Output from API should be unique short url
shorten(original_url)
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...
SHORTURL data model should have primary key ID, original url and corresponding unique url_id
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...
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...
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?