Design a Task Scheduling Service
Last updated: March 27, 2026
Quick Overview
Design a scalable task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Atlassian
March 27, 202610
6
4,852 solved
Design a scalable task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from Atlassian's Technical Screen 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 you handle backward compatibility?
- What are the security implications of this design?
- How would this design change if the team size doubled?
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Core Design Principles
For designing a scalable task scheduling service, the primary core design principles to consider are:
- Separation of Concerns: This principle helps to divide the system into distinct components...
Architecture
The architectural approach for the task scheduling service at Atlassian could be a Microservices Architecture. The components could include:
- API Gateway: This component acts as the entry p...
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