There was a time when I thought Kafka was the answer to everything.
Need services to talk? Kafka.
Want retries? Kafka.
Want scalability? Kafka.
Want async communication? Kafka.
Even for…

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A development team replaced Kafka with gRPC for synchronous service communication in their loan servicing platform after experiencing issues with debugging, latency, and operational complexity. While keeping Kafka for appropriate use cases like audit logs and fan-out patterns, they found gRPC provided better performance (70-80% latency reduction), easier debugging, and simpler infrastructure management for request-response interactions. The key lesson was using each tool for its intended purpose rather than forcing one solution everywhere.

Why We Replaced Kafka with gRPC for Service Communication

Real Example: Where Kafka Made Things Shit…

Operational Benefits of Switching to gRPC

Imagine using kafka for sync comms.

idk why you use Kafka for synchronous processes? This post only try fix previous problem when initial project

The article title should have been: “We screwed up but finally discovered that Kafka is not suitable for synchronization operations!”

I dont know why people dont use <a href="http://NATS.io" target="_blank" rel="noopener nofollow">NATS.io</a>

A misleading Post. Instead it should be named “Use the right tool for the right task”