Skip to main content
AI
  • Get started with AI

    • Red Hat AI

      Accelerate the development and deployment of enterprise AI solutions.

    • AI learning hub

      Explore learning materials and tools, organized by task.

    • AI interactive demos

      Click through scenarios with Red Hat AI, including training LLMs and more.

    • AI/ML learning paths

      Expand your Red Hat OpenShift AI knowledge using these learning resources.

    • AI quickstarts

      Focused AI use cases designed for fast deployment on Red Hat AI platforms.

    • No-cost AI training

      Foundational Red Hat AI training.

  • Featured resources

    • Red Hat OpenShift AI
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

Red Hat AI Factory with NVIDIA

Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.

Learn
  • Self-guided

    • Documentation

      Find answers, get step-by-step guidance, and learn how to use Red Hat products.

    • Learning paths

      Explore curated walkthroughs for common development tasks.

    • Guided learning

      Receive custom learning paths powered by our AI assistant.

    • See all learning
  • Hands-on

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

    • Interactive labs

      Learn by doing in these hands-on, browser-based experiences.

    • Interactive demos

      Click through product features in these guided tours.

  • Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics
  • Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
Build
  • Get started

    • Red Hat build of Podman Desktop

      A downloadable, local development hub to experiment with our products and builds.

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

  • Download products

    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products
  • Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset
  • References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
Community
  • Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions
  • Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github
  • Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

Join the Red Hat Developer program

Download Red Hat products and project builds, access support documentation, learning content, and more.

ConsoleDocsSupport Search
New For you

Recommended

We'll recommend resources you may like as you browse. Try these suggestions for now.

  • Product downloads
  • Cheat sheets
  • Red Hat Developer learning portal
  • Developer blog
  • E-books
  • Developer Sandbox
Log in

Get more with a Red Hat Developer account

  • Product downloads
  • Console access
  • Event registration
  • Training & trials
Explore more account benefitsLog in or register

A subscription may be required for some services.

Contact us

Kafka Monthly Digest: September 2026

October 5, 2026
Mickael Maison
Related topics:
Kafka
Related products:
Streams for Apache Kafka
    This 104th edition of the Kafka Monthly Digest covers what happened in the Apache Kafka community in September 2026.
     
    For last month’s digest, see Kafka Monthly Digest: August 2026.
     

    Releases

    There is one new release (4.2.2), and three releases are in progress (4.4.0, 4.3.2 and 4.5.0):
     

    4.2.2

    Apoorv Mittal released 4.2.2 on September 29. This bug fix release fixes 33 issues. You can find the announcement on the blog and the release plan in the wiki.
     

    4.4.0

    Omnia Ibrahim published 4.4.0 RC1 on September 22, followed by RC3 on September 30 but both had release issues (missing artifacts, invalid signatures). A new release candidate, RC4, is expected in the next few days. You can find the release plan in the wiki.
     

    4.3.2

    On September 2, Jiunn-Yang Huang volunteered to be the release manager for Kafka 4.3.2. The first release candidate was published on September 29 and the vote is currently ongoing. You can find the release plan in the wiki.
     

    4.5.0

    On September 23, Andrew Schofield volunteered to be the release manager for Kafka 4.5.0. The current target date is mid March 2027. You can find the release plan in the wiki.

     

    Kafka Improvement Proposals

    Last month, the community submitted 6 KIPs (KIP-1373 to KIP-1378). I'll highlight a few of them:
     
    • KIP-1373: Client Quota Utilization Metrics: Brokers expose several metrics to track quota usages by users. However these return the absolute usage values without the limits set by the cluster administrator. This KIP proposes adding new metrics exposing quota usage as percentages to help identify users near their limits and whether limits should be adjusted.
       
    • KIP-1376: Support setting TLS named groups: The JVM uses TLS named groups to specify the key exchange algorithms it can use. Since Java 20, they can be set by application logic via the SSLParameters.setNamedGroups() API. This KIP proposes new configurations so users can configure named groups used by Kafka clients and servers. On supported JVMs, this enables using post-quantum cryptography (PQC) key exchange algorithms to prevent attacks like "Harvest now, decrypt later".
       
    • KIP-1378: Allow Consumer Group Renaming in MirrorMaker 2 Checkpoint Connector: In MirrorMaker the replication policy allows renaming topics as they are mirrored to other clusters. Today when consumer groups are mirrored their names are kept as-is, and for that reason if a group already uses that name on the target cluster, MirrorMaker cannot automatically sync offsets (in that case it only emits checkpoints). This KIP proposes enabling replication policies to rename consumer groups like it's done for topic names.
       

    Community Releases

    I selected releases of some open source community projects:
     
    • Debezium 3.7: Debezium is a Change Data Capture platform. This release includes major improvements to all of the existing connectors. It also introduces new connectors for TiDB, Milvus, and SQLite.
       
    • kroxylicious 0.24.0: Kroxylicious is an open source pluggable framework for writing network proxies that understand the Apache Kafka protocol. This release adds SASL termination that enables the proxy to authenticate users. The project also decoupled its APIs from Apache Kafka classes, so plugin developers should now use classes under io.kroxylicious.kafka instead of org.apache.kafka. 

     

    Blogs

    I selected some interesting blog articles that were published last month:
     
    • Why your Kafka topic ignores retention.ms (and how to fix it)
    • Data liberation: Apache Kafka's native cluster mirroring
    • Never lose quorum in Apache Kafka® - and what to do when you do
    • Diskless Kafka: What Happens When Brokers Stop Owning the Data?
       

     
    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.

    Recent Posts

    • A day in the life of an NVIDIA H100 on Red Hat OpenShift 5

    • Migrate BuildConfigs to builds for Red Hat OpenShift with one plug-in install

    • Run Red Hat Enterprise Linux CoreOS on NVIDIA BlueField DPUs

    • Agent harness engineering: Separating model capabilities from enforcement

    • What's new for developers in Red Hat Enterprise Linux 10.3 and 9.9

    Red Hat Developers logo

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    Red Hat Developer

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility
    Ask AI