Apache Kafka often runs on Kubernetes, a system that automates deploying, scaling, and managing containers across clusters of hosts. Apache Kafka is a perfect match for next-generation cloud-native app development.
While it might take more time and resources to switch your entire infrastructure to a new platform to accommodate Kafka, Kubernetes, in this scenario, offers an easier path to adoption.
For one, your IT teams will already be familiar with the environment. If they encounter any issue, it would be easier for them to fix it. Then there’s the problem of getting management approval to migrate to a different platform. The added cost will be hard to justify instead of just sticking with the Kafka / Kubernetes operator route.
Using Kafka in Kubernetes also offers benefits outside of easier adoption. One variable that many IT teams overlook is the number of Kafka clusters they’ll need to create. In larger enterprises, this can quickly grow into a multi-cluster scenario.
Of course, Kubernetes is well-suited for building and managing multiple clusters. With Kubernetes / Kafka, DevOps processes can be much smoother and seamless, thanks to its robust tools for provisioning, monitoring, and maintaining Kafka clusters.
Ultimately, choosing to run a different platform with Kafka vs. Kubernetes will depend on your situation.