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Tuning a Kafka Producer

Configuring Kafka producers is a relatively simple process. The real challenge is knowing what configuration options to change in order to tune the producer for your use case. In this lab, you will have the opportunity to work hands-on with the process of tuning a Kafka producer. You will be presented with a few issues that can be addressed through configuration tuning. You will then need to determine what configuration changes to make in order to address these issues, and you will need to implement those changes in the producer.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 17, 2025
Duration
30m

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Table of Contents
  1. Challenge

    Clone the Starter Project from GitHub and Perform a Test Run
    1. Clone the starter project from GitHub.:

      cd ~/
      git clone https://github.com/linuxacademy/content-ccdak-producer-tuning-lab.git
      
    2. Perform a test run to make sure the code is able to compile and run:

      cd content-ccdak-producer-tuning-lab
      ./gradlew run
      

      The code should compile, and tests should succeed.

  2. Challenge

    Implement the Configuration Changes in the Producer
    1. Open the file:

      vi src/main/java/com/linuxacademy/ccdak/producer/MemberSignupsProducer.java
      
    2. Fix the issue with data loss by setting acks=all:

      props.put("acks", "all");
      
    3. Fix the out-of-order record issue caused by retries by setting max.in.flight.requests.per.connection=1:

      props.put("max.in.flight.requests.per.connection", "1");
      
    4. Increase the batch size by setting batch.size=65536:

      props.put("batch.size", "65536");
      
    5. Run your code to verify that it still works:

      ./gradlew run
      
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