Design a event-driven Task Scheduling System
Last updated: February 21, 2026
Quick Overview
Design a event-driven task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
OpenAI
February 21, 20261
5
703 solved
Design a event-driven task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from OpenAI's System Design Round tests whether you can reason about software design at a deep level. The interviewer expects discussion of maintainability, testability, and operational considerations.
What the Interviewer Expects
- Explain the concept clearly with a practical example
- Discuss when and why to apply this principle
- Identify common mistakes and anti-patterns
- Compare with alternative approaches
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- How would this design change if the team size doubled?
- What are the security implications of this design?
- How would you measure the performance of this component in production?
- What testing strategy would you use for this component?
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Core Design Principles
In designing an event-driven task scheduling system for OpenAI, the following core design principles are crucial:
- Separation of Concerns: This principle allows us to separate different aspects...
Architecture
The architecture for the event-driven task scheduling system will follow a microservices approach, utilizing a message broker (like Kafka or RabbitMQ) for handling events:
- Event Producer: This...
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