Hi

We are using the Kafka input to pull logs into graylog, and when running load 
tests against our system, the graylog journal begins to fill up, since the 
elastic search indexing can't keep up. 

My understanding is that the disk journal is just an internal Kafka topic. 
Since we are already using Kafka to buffer messages, this seems redundant. 
(Also, since we are running graylog in docker the journal is transient without 
configuring appropriate docker volumes).

 We have plenty of storage in the Kafka cluster, so there should be no problem 
buffering messages until graylog can catch up. I was hoping that enabling 
throttling on the Kafka input would do this. I.e. Only read messages in as fast 
as they can be processed by elastic search. However, that doesn't seem to be 
the case. Even with throttling enabled, the disk journal still begins to fill 
up.

How should I go about achieving this behavior? Would disabling the disk journal 
help? Why isn't throttling slowing down the rate at which messages are being 
read in?

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