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1. RM would have generated and pushed Apache Kafka's Release Candidate artifacts to apache sftp server hosted in home.apache.org by release.py script
2. Run the script automation to build the docker image(using the above Release Candidate tarball URL) and test the image locally.

3. The docker image needs to be pushed to some Dockerhub repo(eg. Release Manager's) for the evaluation of RC Docker image.

4. Start the Voting for RC, which will include the Docker image as well as docker sanity tests report.

5. In case any docker image specific issue is detected, that will be evaluated by the community, if it’s a release blocker or not.

6. Once the vote passes, the image will be pushed to apache/kafka with the version as tag.

7. Steps for the Docker image release will be included in the Release Process doc of Apache Kafka

8. eg. for AK release 3.7.0 and image released will be apache/kafka:3.7.0 (=> image contains AK 3.7.0)

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