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...
Storage:
250 garages
5 floors
100 spots
100 * 5 * 250 =125,000 spots in total
1MB of data for each spot
125,000 * 1 = 125,000 MB
Bandwidth:
125,000 * 100 * 2 = 250,000,000 requests per day
Define what APIs are expected from the system...
REST
PUT garage/parkingspaceid/entering
paramaters:
garageid
parkingspaceid
timestamp
carid
GET garage/availablespace/spacetype
parameter:
garageid
spacetype
return:
garagid
parkingspaceid
PUT garage/parkingspaceid/exiting
parameters:
garageid
parkingspaceid
timestamp
carid
return
price
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...
relational database
garage table:
garageid: unique indentifier
spots table:
garage_id: foreign key
spot_id: unique identifier
time_stamp: string
spot_type: string (handicapped, normal, compact, electric)
occupied: boolean
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?