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#Prometheus statsd exporter how to
#Prometheus statsd exporter install
#Prometheus statsd exporter code

You can try the whole stack with this simple K6 test.

90th percentile latency with threshold at 100 ms and 1000 ms.Mean latency with threshold at 20 ms and 200 ms.Heatmap of the request latencies over time.

#Prometheus statsd exporter code

Number of HTTP requests per second, grouped by HTTP status code.

The request panel shows throughput and latencies for each selected request:

Network throughput (number of bytes sent and received per second)Ī panel is instantiated for each K6 request name that the user enabled in the K6 Request Name dropdown list.

The global metrics panel provides an overview of the running test: You can then choose which HTTP timing to observe amongst the seven standard Go HTTP timings. Through the variables panel, you can choose to observe one or multiple specific HTTP requests (tracked by their “name” tag). Screenshot of the Grafana dashboard while K6 is conducting a performance test. So I designed my own that features measurement of the seven standard Go HTTP timings and tracking of multiple K6 HTTP request (by their name). There was a couple Grafana dashboards available in the community but none of them matched my requirements. Sudo mv bintray-loadimpact-rpm.repo /etc// Restart the Grafana server, otherwise when importing the dashboard it might not find the datasource you created.

Change the Scrape interval to 1s in order to match the value in the Prometheus configuration file.

Leave the default datasource name Prometheus.

Navigate to Configuration > Datasources and click Add data source.

Then, configure the Prometheus datasource as follow. Prometheus successfully scrapes the statsd_exporter. Open and make sure Prometheus can scrape the statsd_exporter. 4 minutes ago Up 4 minutes ago 0.0.0.0:9090->9090/tcp prometheusģ9cd918d6682 quay.io/prometheus/statsd-exporter:latest -statsd.listen-u. $ sudo podman psĬONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMESħ04734475f83 docker.io/grafana/grafana:latest 4 minutes ago Up 4 minutes ago 0.0.0.0:3000->3000/tcp grafanaĤ93734aa08b3 docker.io/prom/prometheus:latest -config.file=/et. Sudo podman run -d -name grafana -p 3000:3000 grafana/grafanaĬonfirm all three containers are running.

#Prometheus statsd exporter how to

This article explains how to set it up on Fedora using Podman.Ĭreate the statsd_exporter configuration file.

#Prometheus statsd exporter install

The whole stack is made easy to install since all components are available as containers. The datadog implementation has the advantage of enabling the tags extension in the StatsD protocol.Īnd since the statsd_exporter also has support for tags, we will use it in the rest of this article. K6 has two implementations of the StatsD protocol: statsd and datadog. K6 pushes its metrics to the statsd_exporter while Prometheus scrapes the statsd_exporter. In the meantime, we can use StatsD as a bridge between K6 and Prometheus since K6 has a native support for StatsD and Prometheus handle the StatsD protocol through its statsd_exporter. This lack has been identified by the community and is tracked through the GitHub issue #1761). The K6 documentation does not mention any Prometheus support.

This integration fills a gap and provides a quick win for companies already using Prometheus. Here I explain how to integrate K6 with Prometheus using the existing StatsD support in K6, present the Grafana dashboard I built, and show how to use it. Proper integration of K6 with Prometheus is a clear lack identified by the community. K6 is a novel performance testing tool written in Go, using plain Javascript for the test definition and presenting the test results through Grafana.Īn existing article written in 2018 explains how to setup K6 with InfluxDB and Grafana, however Prometheus gained popularity over InfluxDB since then. Februlink Performance testing label K6 label Prometheus label Grafana schedule 6 minutes