Architect a multi-tenant Logging Engine
Last updated: April 24, 2026
Quick Overview
Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Meta
April 24, 202634
12
4,512 solved
Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Meta 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 handle backward compatibility?
- How would this design change if the team size doubled?
- How would you measure the performance of this component in production?
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Core Design Principles
For designing a multi-tenant logging engine, we need to apply the following core design principles:
- Separation of Concerns: Each tenant should have its own isolated logging data to ensure secu...
Architecture
For the multi-tenant logging engine at Meta, a microservices architecture is appropriate. The system can be divided into the following components:
- API Gateway: This will handle incoming reques...
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