Design a geo-distributed Logging System
Last updated: February 26, 2026
Quick Overview
Design a geo-distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Snowflake
February 26, 202642
3
1,219 solved
Design a geo-distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from Snowflake's Onsite 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
- What are the security implications of this design?
- How would this design change if the team size doubled?
- How would you measure the performance of this component in production?
- How would you document this for other engineers?
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Core Design Principles
For the geo-distributed logging system, the key design principles include:
- SOLID Principles: Applying the Single Responsibility Principle ensures that each component of the logging system focu...
Architecture
The architecture for the geo-distributed logging system can be designed using a microservices approach:
- Log Ingestion Service: This service accepts log entries via a RESTful API, supporting va...
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