![]() Next we will run a node exporter which is an exporter for machine metrics and scrape the same using Prometheus. Prometheus has standard exporters available to export metrics. Now we have Prometheus up and running and scraping its own metrics every 15s. Prometheus by default listens on port 9090. We have added scrape_configs which has a name and target to scrape the metrics from. ![]() In the above configuration file we have mentioned the scrape_interval, i.e how frequently we want Prometheus to scrape the metrics. Prometheus uses yaml files for configuration. All that we need is just the binary and a configuration file. Now that we have Prometheus installed, the next step is to run it. Prometheus exposes its own metrics which can be consumed by itself or another Prometheus server. Download the binary corresponding to your operating system from here and add the binary to your path. Prometheus is written using Go and all you need is the binary compiled for your operating system. Let’s get our hands dirty and setup Prometheus. Group the charts into a dashboard and use it to get an overview of the application. One can scrape multiple useful metrics to understand what is happening in the application and create multiple charts on them. PromQL is used to query these metrics.Ī simple Line chart created on the Request Count metric will look like this This API is used to query the metrics, create dashboards/charts on it etc. Prometheus also has an API which allows to query metrics which have been stored by scraping. Prometheus doesn’t store the values in this exact format) (Note: This table is just a representation for understanding purposes. The user can control the frequency at which metrics are scraped by Prometheus. Similarly metrics are scraped and stored. When Prometheus scrapes the metric the value of count is 1 now.īy 11:02:00 two more requests are processed and the request count is 1+2 = 3 now. The instrumentation logic in the server increments the count to 1. Now Prometheus is configured to fetch the metrics from the web server which is listening on xyz IP address port 7500 at a specific time interval, say, every minute.Īt 11:00:00 when I make the server public for consumption, the application calculates the request count and exposes it, Prometheus simultaneously scrapes the count metric and stores the value as 0.īy 11:01:00 one request is processed. Now that our web server exposes its metrics we can configure Prometheus to scrape it. So we add certain instrumentation code using the Prometheus client library and expose the metrics information. Let's consider a web server as an example application and we want to extract a certain metric like the number of API calls processed by the web server. (Note: Apart from this Prometheus has push_gateway which is not covered here). ![]()
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