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A demonstration of dashboards for monitoring Kafka Streams applications.

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For an actively maintained set of dashboards and application to demonstrate those dashboards, please refer to the following

repository.

https://github.com/kineticedge/kafka-streams-dashboards

This project is an archive of the project used for my 2021 Kafka Summit Presentation.

Kafka Streams Dashboards

  • Showcases the monitoring of Kafka Streams Metrics

  • This is the code and dashboards as the basis of a Kafka Summit Europe 2021 presentation titled, What is the State of my Kafka Streams Application? Unleashing Metrics..

  • Leverages Docker and Docker Container extensively

  • Containers and Build is with Java 14, but Java 11 would work just fine (changing the build.gradle script accordingly)

TL;TR

  • Setup and Configuration all in the ./scripts/startup.sh script; execute from root directory to get everything running.

  • Shut it all down, use ./scripts/teardown.sh script.

  • Grafana Dashboard

    • https://localhost:3000

    • Credentials:

      • username: admin
      • password: grafana
    • on MacOS your the grafana dashboard will auto open in your default browser.

Kafka Streams Threads Dashboard

Kafka Streams Threads

Docker

  • This project leverages docker and docker compose for easy of demonstration.

  • to minimize having to start up all components, separate docker-compose.yml for each logical-unit and a common bridge network ksd.

  • docker compose .env files used to keep container names short and consistent but hopefully not clash with any existing docker containers you are using.

  • Kafka Brokers name/ports

    broker internal (container) bootstrap-servers external (host-machine) bootstrap-servers
    broker-1 broker-1:9092 localhost:19092
    broker-2 broker-2:9092 localhost:29092
    broker-3 broker-3:9092 localhost:39092
    broker-4 broker-4:9092 localhost:49092
  • The Kafka applications can run on the host machine utilizing the external names, the applications can run in containers using the internal hostnames.

    • Run the application within a container with internal configruation, so it can be part of the Grafana dashboard, since prometheus is running in a container and does have access to the host-name endpoint.

    • Run the applications externally for development or experimentation of the application

    • Each project will build a Docker image that then can be started with the 'applications' docker-compose.

OpenSource libraries

  • The primary software libraries used in addition to Apache Kafka Client and Streams Libraries.

    • FasterXML Jackson

    • Lombok

    • JCommander

    • Slf4j API

    • Logback

    • Apache Commons

      • lang3
      • csv

Tools

The tools project provides custom deserializers to use to inspect key elements on a change-log topic.

  • scripts/enable-custom-tools-derserialer will create a symbolic link to the tools jar file. This allows for kafka-console-consumer to utilize those deserializers. Inspect the script before running, to understand the modification it will do (expecially if your installation of Apache Kafka is not Confluent's.)
kafka-console-consumer \
   --bootstrap-server localhost:19092 \
   --property print.timestamp=true \
   --property print.partition=true \
   --property print.key=true \
   --property key.separator=\| \
   --key-deserializer=dev.buesing.ksd.tools.serde.SessionDeserializer \
   --topic analytics_session-SESSION-aggregate-purchase-order-changelog

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