Metrics are the primary way to represent both the overall health of your system and any other specific information you consider important for monitoring and alerting or observability. Prometheus has become the most popular tool for monitoring Kubernetes workloads. The Prometheus query language PromQL lets the user select and aggregate time series data in real time. Even though the Kubernetes ecosystem grows more each day, there are certain tools for specific problems that the community keeps using. So I'm running this querying on prometheus with and hour. Expression browser. For … This tutorial is written for Prometheus 2.0. ... by typing node_load15 in the expression browser. I'm testing rules before integration in alert manager .rules.yml. Grafana supports using Prometheus as a data source and has a number of helpful features such as the ability to create tailor-made dashboards. What did you do? Results can either be shown as a graph, viewed as tabular data in the Prometheus expression browser, or consumed by external systems via the HTTP API. Despite the fact I specified the metric name and most labels, Prometheus was looking for metrics that have the same set of labels. The expression browser is available at /graph on the Prometheus server, allowing youto enter any expression and see its result either in a table or graphed over time.. Earlier versions of Prometheus had a different style of writing the rules. When prometheus is evaluating an expression, the operation implicitly apply to metric that share identical set of labels. (hour() >= bool 1) and on (instance) (up == 1) What did you expect to see? Prometheus is a leading open source metric instrumentation, collection, and storage toolkit built at SoundCloud beginning in 2012. The Prometheus expression browser is good for experimenting with PromQL and quickly checking the results, but you can get more robust graphs by connecting your time-series data to Grafana. Find query examples on Prometheus Query Examples. If the load average over the last 15 minutes is very high, that means that your server is heavily utilized, and maybe you’d want to be notified about that. However, in this case, two metrics have different label values, so they can't match ! This is primarily useful for ad-hoc queries and debugging.