Dream11
Dream11
- How would you design the backend architecture for a fantasy sports platform like Dream11?
- Explain the system design for handling real-time updates and notifications in Dream11.
- Design a scalable and efficient database schema for storing user data, match details, and player statistics in Dream11.
- Discuss the system design for handling high traffic and concurrent user requests in Dream11 during peak hours.
- Explain the design of a recommendation engine that suggests players and teams to users based on their preferences and historical data.
- Design a caching mechanism to improve the performance of frequently accessed data in Dream11.
- Discuss the system design for handling user authentication and authorization in Dream11.
- Design a fault-tolerant and highly available architecture for Dream11 to ensure uninterrupted service.
- Explain the system design for handling payments and financial transactions in Dream11 securely.
- Design a logging and monitoring system to track and analyze user activities, system performance, and errors in Dream11.
- Design a microservices architecture for Dream11, outlining the communication protocols and data exchange between the services.
- Explain the process of designing an efficient leaderboard system to rank users based on their performance in fantasy sports contests on Dream11.
- Discuss the system design for implementing a robust and secure API gateway to manage external integrations and third-party services in Dream11.
- Design a system to handle user-generated content, such as comments, reviews, and user-submitted teams, ensuring data integrity and moderation.
- Explain the architecture of a real-time scoring and statistics system for updating match-related information and player performances in Dream11.
- Design a system to manage and optimize the storage and retrieval of multimedia content, such as player images, match videos, and promotional media in Dream11.
- Discuss the process of designing a data analytics and reporting system to provide insights into user behavior, contest trends, and business performance on Dream11.
- Design a system for ensuring data privacy and compliance with regulatory requirements, such as GDPR, in the context of user data and personal information on Dream11.
- Explain the architecture of a robust disaster recovery and backup system to safeguard critical data and ensure business continuity for Dream11.
- Discuss the design considerations for implementing a global, geographically distributed infrastructure to serve users in different regions efficiently on Dream11.