Design a Distributed Message Queue System
Last updated: March 3, 2025
Quick Overview
Design a Kafka-like message queue with partitioning, replication, consumer group coordination, and exactly-once delivery semantics.
ByteDance
System Design
Software Engineer
ByteDance
March 3, 2025Software Engineer
System Design Round
System Design
Hard
10
6
3,080 solved
Design a Kafka-like message queue with partitioning, replication, consumer group coordination, and exactly-once delivery semantics.
ByteDance's infrastructure relies heavily on message queues for event streaming. Tests deep distributed systems knowledge.
What the Interviewer Expects
- Design topic partitioning for parallel consumption
- Implement replication with leader election
- Build consumer group coordination with offset management
- Address exactly-once versus at-least-once delivery trade-offs
- Design backpressure handling
Key Topics to Cover
Message queuing
Partitioning
Replication
Consumer groups
Delivery guarantees
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 do you handle consumer lag?
- What is your compaction strategy for changelog topics?
- How do you handle partition rebalancing during scaling?
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Practice System Design ProblemsSample Answer
Requirements
Functional Requirements:
- Message Queueing: The system must allow producers to publish messages and consumers to subscribe and consume these messages.
- Partitioning: Messages should be...
Capacity Estimation
To estimate capacity, let's assume ByteDance needs to handle:
- Daily Messages: 1 billion messages/day
- Average Message Size: 1 KB
Back-of-Envelope Calculations:
- Total Daily Data:...
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