Build a distributed Logging Pipeline
Last updated: March 19, 2026
Quick Overview
Design a distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HubSpot
March 19, 2026566
5
1,703 solved
Design a distributed logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
ML system design at HubSpot goes beyond model selection. This System Design Round 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
- Design the full ML lifecycle from data collection to model monitoring
- Address cold start, exploration/exploitation, and model freshness
- Discuss multi-objective optimization and ranking systems
- Plan for model debugging, fairness, and bias mitigation
- Design the feature store and training pipeline for scale
- Address model versioning, canary deployments, and rollback strategies
- Discuss the data flywheel and long-term system evolution
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 10x increase in prediction requests?
- How would you handle the cold start problem?
- How would you ensure fairness and reduce bias in the model?
- What would you do if model performance degrades over time?
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Requirements
Functional Requirements
- Data Ingestion: Ability to accept log data from various HubSpot services via HTTP(S) and Kafka.
- Storage: Store logs in a scalable, durable manner for querying...
Capacity Estimation
Assuming HubSpot processes around 10 million requests per day, and each request generates an average of 2 log entries:
- Total Log Entries: 10M requests * 2 logs/request = 20M log entries per day....
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