Design a Email for PlanetScale

Last updated: September 21, 2025

Quick Overview

Design a low-latency email system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

PlanetScale
System Design
Software Engineer
PlanetScale
September 21, 2025
Software Engineer
System Design Round
System Design
Hard

42

7

4,990 solved


Design a low-latency email system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

PlanetScale asks this during the System Design Round to assess your understanding of the full ML lifecycle. They want to see how you translate a business problem into an ML objective, design the feature pipeline, and plan for model monitoring and retraining.

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
Model selection and architecture
Monitoring and model degradation detection
Training pipeline and infrastructure
Data collection and labeling strategy
A/B testing and experimentation
Model serving and latency optimization
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
  • 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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Sample Answer
Requirements

Functional Requirements

  1. Email Sending and Receiving: Users should be able to send and receive emails reliably.
  2. User Authentication: Implement OAuth and multi-factor authentication fo...
Capacity Estimation

Assuming PlanetScale has roughly 1 million users with an average of 10 emails sent and received per user per day:

  • Total Emails: 1,000,000 users x 10 emails = 10,000,000 emails per day.
  • **Peak ...

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