A distributed message queue is a system that enables asynchronous communication between services by storing and forwarding messages from producers to consumers across multiple servers.
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The core idea is to decouple producers (who send messages) from consumers (who process them), allowing both sides to operate independently and at different speeds. Messages are persisted in the queue until they are consumed, providing reliability and fault tolerance.
Popular Examples: Apache Kafka, Amazon SQS, RabbitMQ, Apache Pulsar, Google Pub/Sub
In this article, we will explore the high-level design of a distributed message queue.
This problem tests your understanding of distributed systems concepts like partitioning, replication, ordering guarantees, and delivery semantics.
Let's start by clarifying the requirements.