The Kafka development mailing list can be a lot to keep up with. To cope, I have created a few filters to separate the most important communication from the noise. I have found using just a few filters help a lot. Below are my most reliable Gmail filters (they should be able to map to other email clients too):
*Kafka Builds:* Matches: from:([email protected]) list:"dev.kafka.apache.org" Do this: Skip Inbox, Mark as read, Apply label "Kafka/Kafka Builds" *Kafka Pull Requests:* Matches: from:([email protected]) list:"dev.kafka.apache.org" Do this: Skip Inbox, Apply label "Kafka/Kafka Pull Requests" *Kafka Jiras:* Matches: from:([email protected]) list:"dev.kafka.apache.org" Do this: Skip Inbox, Apply label "Kafka/Kafka Jira" *Kafka Dev*: Now this is just the discussions. No builds, pull requests, or jiras Matches: from:([email protected] AND [email protected] AND ! [email protected]) list:"dev.kafka.apache.org" Do this: Skip Inbox, Apply label "Kafka/Kafka Dev" *Kafka User:* Matches: list:"users.kafka.apache.org" Do this: Skip Inbox, Apply label "Kafka/Kafka Users" *Kafka Commits:* Matches: list:"commits.kafka.apache.org" Do this: Skip Inbox, Apply label "Kafka/Kafka Commits" If you have any other filters or strategies to keep up, please don't hesitate to share. Thanks, Grant P.S. I also use Gitify to see/track Github notifications http://gitify.io/ -- Grant Henke Software Engineer | Cloudera [email protected] | twitter.com/gchenke | linkedin.com/in/granthenke
