Architect a multi-tenant Messaging Engine
Last updated: June 13, 2026
Quick Overview
Design a multi-tenant messaging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zoom
June 13, 2026360
12
1,926 solved
Design a multi-tenant messaging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zoom asks this during the Technical Screen 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
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 monitoring and alerting would you set up on day one?
- What would the deployment pipeline look like for this system?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Multi-tenant Support: The messaging engine should support multiple tenants (different organizations) with strict data isolation.
- Real-time Messaging: Users sh...
Capacity Estimation
Assuming Zoom has around 300 million active users, and estimating that approximately 10% (30 million) are using the messaging feature concurrently:
- Messages per second: If each user sends an ave...
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