Design a large-scale Logging Platform
Last updated: February 20, 2026
Quick Overview
Design a distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Atlassian
February 20, 2026229
10
1,671 solved
Design a distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Onsite at Atlassian. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Atlassian values engineers who can think about scalability from day one.
What the Interviewer Expects
- Clearly define functional and non-functional requirements
- Propose a reasonable high-level architecture with core components
- Choose appropriate data storage solutions with basic justification
- Discuss basic scaling strategies (horizontal scaling, caching)
- Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- What happens if one of your database nodes goes down?
- How would you implement rate limiting to protect the system?
- How would you handle a 10x increase in traffic overnight?
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Requirements
Functional Requirements:
- Log Ingestion: The system must accept logs from various sources (e.g., web servers, applications) in real-time.
- Log Storage: Logs should be stored in a durab...
Capacity Estimation
Assuming Atlassian has around 100,000 active users generating logs:
- Log Generation Rate: If each user generates 10 logs per minute, that results in 1,000,000 logs per minute or approximately 16,...
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