Architect a low-latency Logging Engine
Last updated: December 31, 2025
Quick Overview
Design a low-latency logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Dropbox
December 31, 20252
12
2,134 solved
Design a low-latency logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
ML system design at Dropbox goes beyond model selection. This Onsite question evaluates your ability to design end-to-end ML pipelines, from data collection to model serving, while considering production constraints like latency and reliability.
What the Interviewer Expects
- Map the business problem to a concrete ML objective
- Propose reasonable features and a baseline model
- Discuss basic model evaluation metrics
- Outline a simple serving architecture
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
- What would you do if model performance degrades over time?
- What is your model retraining strategy?
- How would you handle the cold start problem?
- How would you ensure fairness and reduce bias in the model?
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Requirements
Functional Requirements
- Real-time Logging: The system should accept and process millions of log entries per second with minimal latency.
- Search and Filter: Users should be able to qu...
Capacity Estimation
Assuming Dropbox handles approximately 300 million file uploads daily, with each upload generating 2 log entries (one for start, one for completion), we can estimate:
- Log entries per day: 300 m...