Design a Analytics for HRT
Last updated: March 8, 2026
Quick Overview
Design a multi-tenant analytics system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HRT
March 8, 2026108
8
1,153 solved
Design a multi-tenant analytics system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at HRT typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.
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 optimize costs as the system scales?
- How do you ensure data consistency across multiple services?
- How would you handle schema migrations with zero downtime?
- What happens if one of your database nodes goes down?
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Requirements
Functional Requirements:
- Multi-Tenant Support: The system should support multiple tenants (clients) with isolated data access.
- Real-Time Analytics: Users should be able to query anal...
Capacity Estimation
Assuming HRT expects to handle 1 million requests per day:
- QPS Calculation:
- Total requests per second: ( 1,000,000 ext{ requests/day} / 86400 ext{ seconds/day} \approx 11.57 ext{ QP...
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