The limits and resources set on the LogScale pods should be appropriate for the size of the instance leaving 2-4 CPUs and 4GB of memory for the OS in the case of LogScale and Kafka.

When running in a production environment setting limits is important to ensure the LogScale pods run on instances where they will have enough resources to operate efficiently and not compete with other applications on the worker node.