In a distributed architecture, communications between systems form the foundation of the entire infrastructure. The performance, scalability, and reliability of the infrastructure depend much on how events/messages/data are exchanged and persisted.
Kafka and NATS are two popular tools for handling streaming and messaging. They have different architectures and different performance characteristics. They are suitable for specific use cases. In this article, we will compare the features of NATS with Kafka and explain the use cases I addressed at work.
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