Teams implementing Apache Kafka, or expanding their use of the powerful open source distributed event streaming platform, often need help understanding how to correctly size and scale Kafka resources for their needs. It can be tricky.
Whether you are considering cloud or on-prem hardware resources, understanding how your Kafka cluster will utilize CPU, RAM, and storage (and knowing what best practices to follow) will put you in a much better position to get sizing correct right out of the gate. The result will be an optimized balance between cost and performance.
