Welcome to the Confluent Community 👋

:star: Welcome to the Confluent Community Forum! :wave:

We are delighted to have you here as part of this large community!

The topics discussed within this space are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!

:point_right: We would love your feedback.

Here are few pointers to get you started:

  • :wave: Introduce yourself and say hi over in the lounge

  • :woman_student: To learn about Kafka we recommend :writing_hand: this tutorial or :movie_camera: talk

  • To ask a question find the appropriate category and ask away!

    • Like any community, you get out of it what you put in. Take the time to read around existing content and when you’re ready to ask a question, make sure it’s well written :slight_smile: You can learn more about our online platforms etiquette here.
  • If you’re just here to lurk and learn you are very welcome, and perhaps you may enjoy these learning resources too.

Don’t forget to check out our vibrant meetup community too where you can find out what’s coming up next as well as view recordings of previous meetups.

For a more informal chat, our Slack Community is still active and vibrant.

Code of Conduct


About the Discourse platform

You may be familiar with Discourse already; it’s popular forum software used widely. It has a few key concepts:

  • Users post questions, discussions, announcements, etc as topics. Each post is a topic. Topics that are a question can be marked as Solved by the original poster.
  • Topics are organised into categories. Some categories have subcategories within them to help keep information easy to find.

If you already use Slack, then the analogous component of a channel is a category in Discourse, and a message in Slack is a topic here in Discourse.

Discourse offers granular control of users, so you will notice some users have permission to edit, or even remove, topics. You can learn more about the Badges and Groups that we’ve configured.


This is a resource for the community to help the community. Whilst there are a number of Confluent employees who are helpful and contribute to discussions, they are solely doing it as community members, themselves. There is never an obligation for any Confluent employee (or employee of any other company, for that matter) to reply to any post or message.


Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or discussed within this platform.

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