Design a large-scale Logging Platform
Last updated: November 10, 2025
Quick Overview
Design a geo-distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Mastercard
November 10, 202585
4
644 solved
Design a geo-distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Mastercard asks this during the System Design Round to assess your depth in software engineering. They want to see understanding of design patterns, system architecture, and the trade-offs involved in different technical approaches.
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 document this for other engineers?
- How would you handle backward compatibility?
- How would you measure the performance of this component in production?
- How would this design change if the team size doubled?
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Core Design Principles
For designing a large-scale logging platform for Mastercard, the following core design principles apply:
- CAP Theorem: We must balance consistency, availability, and partition tolerance. In a g...
Architecture
The proposed architecture for the logging platform consists of the following components:
- Log Ingestion Service: A RESTful API that receives log entries from various sources (e.g., applications...
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