Build a multi-tenant A/B Testing Pipeline
Last updated: September 3, 2025
Quick Overview
Design a multi-tenant a/b testing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Anthropic
September 3, 202543
13
4,089 solved
Design a multi-tenant a/b testing 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 Anthropic. 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. Anthropic values engineers who can think about scalability from day one.
What the Interviewer Expects
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
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 would you implement rate limiting to protect the system?
- How would you migrate from a monolithic to a microservices architecture?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Multi-Tenant Support: The system must support multiple tenants (clients) running A/B tests simultaneously without interference.
- Experiment Management: Users s...
Capacity Estimation
Capacity Estimation
- User Base: Assume 100 tenants, each running an average of 10 A/B tests concurrently.
- Requests per Test: Each test receives about 1000 requests per hour. Therefore...
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