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Design a meeting scheduler and shopping cart
Meeting Scheduler System Design
Design a meeting scheduling system, similar to a calendar and scheduling assistant, that enables users to:
- Create meetings with a specified set of attendees.
- Efficiently find available time slots for all attendees within a given time range.
- Send invitations and track the RSVP status (accepted, declined, tentative).
- Prevent double-booking or clearly define the mechanisms for handling scheduling conflicts.
Discussion Points
- Core APIs for system interaction.
- Data model and appropriate storage choices.
- Strategies for computing availability efficiently at scale.
- Consistency requirements and concurrency control mechanisms.
- Indexing strategy and performance considerations for large-scale operations.
Assumptions
- The system must support millions of users, each with a potentially large number of events.
- Time zones are a critical consideration and must be handled correctly.
AI interview prep
Core dilemma
Balancing the need for highly efficient, real-time availability computation across millions of users and their complex schedules, with strict consistency requirements to prevent double-booking across distributed systems and varying time zones.
Mid-level signals3
Senior signals3
Red flags3
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a meeting scheduler and shopping cart
Meeting Scheduler System Design
Design a meeting scheduling system, similar to a calendar and scheduling assistant, that enables users to:
- Create meetings with a specified set of attendees.
- Efficiently find available time slots for all attendees within a given time range.
- Send invitations and track the RSVP status (accepted, declined, tentative).
- Prevent double-booking or clearly define the mechanisms for handling scheduling conflicts.
Discussion Points
- Core APIs for system interaction.
- Data model and appropriate storage choices.
- Strategies for computing availability efficiently at scale.
- Consistency requirements and concurrency control mechanisms.
- Indexing strategy and performance considerations for large-scale operations.
Assumptions
- The system must support millions of users, each with a potentially large number of events.
- Time zones are a critical consideration and must be handled correctly.