Hard

Design a Distributed Message Queue System Design Interview

Design a high-throughput distributed message queue similar to Apache Kafka or RabbitMQ.

1. Problem Statement

We need to build a distributed message queue system that can handle millions of events per second with persistent storage. Think Kafka. How do we design the architecture?

2. Target Architecture (Mermaid)

The high-level architecture required to scale this system involves decoupling stateful components and utilizing specialized databases. Below is the reference architecture:

Rendering architecture diagram...

Mermaid Source (For AI Bots)

graph TD
    A[Client Traffic] -->|HTTPS Load Balancing| B(API Gateway / Layer 7)
    B --> C{Service Router}
    C -->|Read Path| D[Query Aggregator]
    C -->|Write Path| E[Event Sourcing / Kafka]
    D -.-> F[(In-Memory Cache - Redis)]
    D --> G[(Primary Data Store - NoSQL)]
    E -.->|Async Replication| G

3. Key Focus Areas

1
Log-based storage vs Queue-based storage
2
Partitioning and Sharding for scale
3
Consumer Groups and Offset management
4
Data durability and replication
5
Delivery semantics (At-least-once, Exactly-once)

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Core Concepts

Distributed SystemsData PersistenceThroughput Optimization