Design a Chat Service

Last updated: October 22, 2025

Quick Overview

Design a geo-distributed chat system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Doordash
System Design
Product Manager
Doordash
October 22, 2025
Product Manager
System Design Round
System Design
Hard

10

10

4,302 solved


Design a geo-distributed chat system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Doordash asks this during the System Design Round to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Security and authentication
Load balancing and horizontal scaling
Partitioning and sharding strategies
Consistency models and replication
Database selection and data modeling
High-level architecture and component design
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 handle a 10x increase in traffic overnight?
  • How would you optimize costs as the system scales?
  • How would you handle a region-wide outage?
  • How would you handle schema migrations with zero downtime?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For Chat Service, key functional requirements include: what are the core ...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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