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In this livestream, we will walk through a demo of how to get client side insights from Kafka using distributed tracing. We will take a NodeJS producer and consumer setup communicating via Kafka to show how one can instrument this with OpenTelemetry, and get metrics from a client perspective. We will also touch on getting Kafka metrics using OpenTelemetry receivers.

In this live stream, we show how you can get RabbitMQ latency metrics between producers and consumers via distributed tracing. We also touch upon standard metrics monitoring like channel queue length, etc.

With soft min and max axis limits, the axis will not shrink down to show smaller variation in data as large mountains. So while creating charts you can specifiy a min and a max value for your axis. Actual datapoints will have the highest preference, so you won’t be able to set a min lower than an actual datapoint in your chart.

More about SigNoz: SigNoz - Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack. If you need any clarification or find something missing, feel free to raise a GitHub issue with the label documentation or reach out to us at the community slack channel.