Design a large-scale Logging Platform
Last updated: January 21, 2026
Quick Overview
Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Anthropic
January 21, 2026464
4
2,477 solved
Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Anthropic asks this during the Onsite to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
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
- How would you handle a region-wide outage?
- How do you ensure data consistency across multiple services?
- How would you implement rate limiting to protect the system?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
Functional Requirements
- Multi-Tenancy: The system must support multiple clients, ensuring data isolation and security for each tenant.
- Logging API: A RESTful API that allows clients to...
Capacity Estimation
Assuming 1 million tenants, each generating an average of 100 log entries per second, we expect:
- Total log entries per second = 1,000,000 tenants * 100 entries = **100 billion entries pe...
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