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Kafka Monthly Digest: November 2025

December 1, 2025
Mickael Maison
Related topics:
Kafka
Related products:
Streams for Apache Kafka
    This 94th edition of the Kafka Monthly Digest covers what happened in the Apache Kafka community in November 2025.
     
    For last month’s digest, see Kafka Monthly Digest: October 2025.
     

    Releases

    There is 1 new release and 2 releases are in progress:
     

    4.1.1

    The vote on 4.1.1 RC2 passed on November 12 and Lianet Magrans released 4.1.1 on November 14. This bugfix release fixes 17 issues including blocker issues in both Streams and Connect. You can find more details in the announcement, the release notes and in the release plan in the wiki.
     

    4.2.0

    The release process for Kafka 4.2.0 continued. Feature freeze happened on November 21, the next milestone is code freeze on December 10. You can find the release plan in the wiki.
     

    3.9.2

    PoAn Yang volunteered to be the release manager for Kafka 3.9.2. The release is expected in December. You can find the release plan in the wiki.
     

    Kafka Improvement Proposals

    Last month, the community submitted 12 KIPs (KIP-1234 to KIP-1246). I'll highlight a few of them:
     
    • KIP-1239: Batch offset translation in RemoteClusterUtils: When using MirrorMaker and the MirrorCheckpointConnector, the RemoteClusterUtils.translateOffsets() API allows users to manually translate consumer group offsets between clusters. This API takes a single consumer group Id as input. However this can be an expensive call as it requires reading the entire checkpoints topic. This KIP proposes allowing to translate the offsets of multiple consumer groups in a single call since the full topic has to be processed anyway.
       
    • KIP-1243: Consistent Metadata Reads: Kafka clients automatically send calls to the appropriate brokers. Calls that can be sent to any brokers are sent to the least loaded broker (from the client's point of view). This means that a call that updates metadata, followed by a call that reads metadata can be sent to different brokers. Because brokers reply from their metadata cache, it is not guarantees that the second call (the read) will see the impact of the first one (the write). This KIP aims at providing consistent reads by having clients and brokers exchange tokens that help identify the latest metadata version they are aware of.
       
    • KIP-1244: Drop support for streams-scala in Kafka 5.0 (deprecate in 4.3): The streams-scala package was introduced in Kafka 2.0. It provides an idiomatic API for Streams to Scala users. Several years later, this package has a relatively low adoption rate within the Streams user base and it has not been updated to support Scala 3. The intention of this KIP is to determine the future of the streams-scala package. 
       

    Community Releases


    I selected releases of some open source community projects:
     
    • strimzi-kafka-operator 0.49: Strimzi is a Kubernetes Operator for running Kafka. This new version introduces v1 APIs for all the CRDs in preparation for Strimzi 1.0. The older APIs are supported till Strimzi 0.52 and there is a conversion tool to convert and upgrade existing CRDs. This release adds support for Kafka 4.0.1 and 4.1.1. It now also supports Buildah to build custom Kafka Connect images.
       
    • kroxylicious 0.18.0: Kroxylicious is an open source pluggable framework for writing network proxies that understand the Apache Kafka protocol. This versions adds an Authorizer API with a built-in implementation to perform authorizations in the proxy. It also introduces SASL and transport Subject builder APIs to derive user identities from SASL and TLS.
       

    Blogs

    I selected some interesting blog articles that were published last month:
    • Colocating Input Partitions with Kafka Streams When Consuming Multiple Topics: Sub-Topology Matters!
    • KIP-1150 Diskless Topics cost savings compared to Confluent Freight
    • From JSON to AVRO in the CDC pipeline
    • Replication redefined: How we built a low-latency, multi-tenant data replication platform
       

    To learn more about Kafka, visit Red Hat Developer's Apache Kafka topic page.
        
    Disclaimer: Please note the content in this blog post has not been thoroughly reviewed by the Red Hat Developer editorial team. Any opinions expressed in this post are the author's own and do not necessarily reflect the policies or positions of Red Hat.

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