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As a Kafka developer, I’ve been amazed by how much this technology has evolved. Kafka isn’t just about message queues anymore — it’s a full-fledged event streaming platform that powers real-time analytics, monitoring, and microservices communication at scale.

In our projects, Kafka helps handle millions of events per second with reliability and low latency. The ecosystem — including Kafka Streams, Connect, and Schema Registry — makes it incredibly flexible for both backend and data engineering teams.

I’m curious to hear how other teams are using Kafka in production.

Are you running it on-prem or using Confluent Cloud?

How do you handle schema evolution and topic partitioning at scale?

What’s your favorite Kafka monitoring setup? https://zoolatech.com/blog/hire-kafka-developers/

Let’s share best practices, performance tips, and lessons learned from the trenches.