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There have been some questions about reducing these footprints, especially since many of them are not necessary. For example, there are redundant internal topics, as well as unnecessary state stores that takes up space but also affect performance. When people are pushing Streams to production with high traffic, this issue would be more common and severe. Reducing the footprint of Streams have clear benefits of Kafka Streams operations, and also for KSQL deployment resource utilization: Discussion: Topology Optimizations for Footprint Reduction.

Proposal

There are a few tasks that we have summarized so far, under 

Jira
serverASF JIRA
serverId5aa69414-a9e9-3523-82ec-879b028fb15b
keyKAFKA-6034
(sorted in terms of ROI):

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