Design a multi-tenant Logging System

Last updated: April 5, 2026

Quick Overview

Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

SpaceX
System Design
Software Engineer
SpaceX
April 5, 2026
Software Engineer
Technical Screen
System Design
Medium

19

13

2,209 solved


Design a multi-tenant logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

System design interviews at SpaceX 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
Failure handling and fault tolerance
Security and authentication
High-level architecture and component design
Message queues and async processing
Load balancing and horizontal scaling
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. 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?
  • What monitoring and alerting would you set up on day one?
  • How would you implement rate limiting to protect the system?
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Sample Answer
Requirements

Functional Requirements

  1. Multi-tenant Support: The system must support multiple clients (e.g., different SpaceX teams) with data isolation.
  2. Real-time Logging: Logs should be ingested ...
Capacity Estimation

Back-of-Envelope Calculations

  • Log Generation: Assume each SpaceX team generates 1,000 log events per second (EPS). With 50 teams, this leads to a total of:
    • 50,000 EPS
  • **Storage Require...

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