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Kafka monitoring is a service written in golang who will help you to monitoring and calculate your SLO over your kafka cluster. The service will start a kafka producer who sends fake data to your kafka cluster, collecting the result in different prometheus metrics. Using this metrics you can create different alerts or dashboards.

The repo provide a makefile with some useful instruccion. You can start a kafka cluster with zookeeper using the docker-compose file in this project. This will deploy a simple local cluster in which you can test your service.

    make start-environ

Once you have the kafka cluster up and running you can start your kafka-monitoring instance and take a look on the metrics. We have 3 modes of running:

• Producer: Running a kafka synchronous producer client
• Consumer: Running a kafka consumer group
• Both client. Running a producer and consumer in same app. Running producer and consumer in the same pod is not the preferred approach for many requests. Use it at your own risk.

You can run each one using the next commands:

    make run-producer    make run-consumer    make run-app

Nevertheless, you can build the service and run the binary. Next command will generate a binary inbin/kafka-slo-monitoring who you can run locally.

    make run-binary

Read the full prometheus metrics docshere

We provide couple of dashboard as an example for the main monitoring system like grafana or wavefront.

Inside the resources folder you will find angrafana example dashboard.

The service-level-indicator-exporter-for-kafka project team welcomes contributions from the community. Before you start working with service-level-indicator-exporter-for-kafka, pleaseread ourDeveloper Certificate of Origin. All contributions to this repository must besigned as described on that page. Your signature certifies that you wrote the patch or have the right to pass it onas an open-source patch. For more detailed information, refer toCONTRIBUTING.md.

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