The users can capture a screenshot, store it, and send it.
The users can download their own screenshots made earlier
The users can assign tags to a screenshot.
Users can share screenshots with their friends to view them.
The users can change the size of images and its properties before uploading.
The users can remove their screenshots.
The uses can download the platform-dependent client application to capture the screenshot.
We should have the client applications for web, mobile, and desktop.
If users upload a new screenshot, it will be available in 100 milliseconds.
The users can upload a screenshot maximum 1 MB.
Users may choose the users with whom they share the screenshots or make a screenshot public.
The platform should be designed to handle a high number of concurrent users efficiently. This might involve implementing techniques like load balancing and caching to distribute requests and minimize response times.
The system architecture should allow for horizontal scaling to accommodate increasing user traffic and data volume. This could involve using distributed databases and cloud-based infrastructure.
User data, including passwords and personal information, should be securely stored using encryption techniques.
The user interface (UI) should be intuitive and user-friendly for both novice and experienced users. A clean and well-organized UI with clear navigation elements will enhance user experience
Here's the calculation for storage requirements based on the provided assumptions:
Therefore, based on the assumptions, the estimated storage requirement for the system would be around 370 Petabytes per year.
Here's a breakdown of the essential API for our Multi-Device Screenshot Capture System.
User Management APIs:
Screenshot Management APIs:
Database Choices:
User :
Database type: SQL (MySQL, PostgreSQL)
Reasoning: user data requires strong consistency and ACID transactions.
Screenshot:
Database type: NoSQL (DynamoDB)
Reasoning: It may work with eventual consistency.
HashTag and Permission:
Database type: SQL (MySQL)
Reasoning: they require strong consistency and ACID transactions.
Data partitioning strategy:
Reasoning: User Id is a natural partitioning key as users primarily interact with user their data and advertisements. Sharding by User Id distributes load across servers and facilitates horizontal scaling for the user and screenshot data.
Sharding strategy: User Id provides a well-defined partition key for efficient data distribution and horizontal scaling based on user base growth. This approach keeps user data and related screenshots together on the same shards.
Here's a breakdown of essential components and services required to build your Multi-Device Screenshot Capture System.
Client application: Many types of client applications for web, mobile, and desktop.
Responsibilities:
API Gateway: API Gateway software - Apigee, Istio, AWS API Gateway.
Responsibilities:
User Service: Manage user activity, including user creation, removal, and searching.
Responsibilities:
Upload service: manage to either upload or download the screenshots by user demands.
Responsibilities:
Search service: look for the screenshot information by keywords.
Responsibilities:
Permission service: manage the user's permission to work with a screenshot.
Responsibilities:
Notification Service: listen to Kafka about new screenshots and connected users, and store that information to Redis.
Responsibilities:
CDN: store the screenshots closest to clients.
Security layer: Secure communication protocols (HTTPS), authentication, and authorization mechanisms, intrusion detection/prevention systems.
Responsibilities:
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?