Conclusion In this post my goal was to show how relatively simple it is to add the metrics feature to Go applications. We can customize our own metrics based on the above illustration. For example, an expression that returns an instant vector is the only type that can be directly graphed.

There are more advanced examples in the Prometheus and Grafana documentation. The appropriate base unit for timers does vary by metrics backend for good reason. As the apps collect the metrics, it will update the data on the dashboard.

If your preferred language doesn't have a client library you can create your own.

String - a simple string value; currently unused; Depending on the use-case (e.g. 04/22/2020; 13 minutes to read; In this article. Prometheus is a popular open source metric monitoring solution and is a part of the Cloud Native Compute Foundation.Azure Monitor for containers provides a seamless onboarding experience to collect Prometheus metrics. Configure scraping of Prometheus metrics with Azure Monitor for containers. Metrics can be exposed to Prometheus using a simple text-based exposition format. when graphing vs. displaying the output of an expression), only some of these types are legal as the result from a user-specified expression. There are various client libraries that implement this format for you.

Prometheus recommends recording timings in seconds (as this is technically a base unit), but records this value as a double. It is possible to add other panels, with more advanced queries. For example, we want to be able to measure the requests for each endpoint, method and their status code (200 for succeed and 500 for error). When we run the application and navigate to /metrics, we will get some default metrics set up by prometheus-net.

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