Hi Josh,

Kafka will/can expire message logs after a certain TTL. You can't simply rely 
on expiration for key rotation? That is, you start to produce messages with a 
different key while your consumer temporarily handles the overlap of keys for 
the duration of the TTL.




Just an idea,

Jens





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On Wed, Jan 20, 2016 at 12:34 AM, Josh Wo <z...@lendingclub.com> wrote:

> We are trying to deploy kafka into EC2 and one of the requirement from 
> infosec is to have kafka encryption at rest (stored with encrypted value). We 
> also need to be able to rotate encryption keys and re-encrypt all the 
> messages on regular basis since we are a financial company. The re-encryption 
> feels challenging since kafka messages are immutable from client side 
> (producer and consumer). Some ideas floating around to have replicated 
> clustered but then it will mess up all the offsets of the consumer and 
> switching is complicated from operational perspective.
> One idea we have is to achieve this is to plugin our own "compression" codec 
> which deal with both compression and encryption logic and leverage compaction 
> cycle to re-write all the messages by calling decompress and compress into a 
> new file. It feels this approach can also have zero impact to the 
> consumer/producer if they are using the same "codec" for compression since 
> the offsets will be intact.
> My current understanding is the codecs are hardcoded right now (we are using 
> .9) so it will require us to customize kafka. Also compaction cannot be 
> triggered on-demand, which is needed in case of the key loss. So before we 
> take on customization of kafka, I am just wondering if our thinking is on the 
> right track.
> I hope some of the committers from Confluent/Hornton/Cloudera can comment on 
> that and the road map to support encryption at rest and key rotation, or 
> otherwise alternative to what is proposed. Also please let me know if my 
> question/problem is not clear.
> Thanks,
> Josh
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