Hi. We have a pretty typical data ingestion use case that we use mirrormaker at one hadoop data center, to mirror kafka data from multiple remote application data centers. I know mirrormaker can support to consume kafka data from multiple kafka source, by one instance at one physical node. By this, we can give one instance of mm multiple consumer config files, so it can consume data from muti places.
Another option is to have multiple mirrormaker instances at one node, each mm instance is dedicated to grab data from one single source data center. Certainly there will be multiple mm nodes to balance the load. The second option looks better since it kind of has an isolation for different data centers. Any recommendation for this kind of data aggregation cases? Still new to kafka and mirrormaker. Welcome any information. Thanks, Mingjie
