![]() The built-in graphing mode and expression browser in Prometheus are helpful for on-the-spot debugging, but they are not a strong option for persistent and shareable dashboards or more complicated graph options. demo_api_request_duration_seconds_count Set Up Grafana As an illustration, the following query only chooses queries that had the HTTP status code 200. ![]() We can add filter criteria depending on the label values of each series to reduce the number of series you need to choose. The reason why it awkwardly includes request_duration_seconds in its name is that it is created as a by-product of a histogram tracking request durations with the base name demo_api_request_durations_seconds. Note:The demo_api_request_duration_seconds_count metric is a counter that tells you the total number of handled API requests. One of the easiest ways to have Prometheus installed is by launching a docker container, but endeavor to pull Prometheus image into your local environment with docker pull prometheus before you run the command if not, you will encounter an error. At the end of this article, you should be able to set your configuration, start Prometheus, use prometheus’s inbuilt browser and do some real monitoring Recall: Install PrometheusĬheck this link to install Prometheus: How to install, configure Prometheus for Monitoring on a Linux Server. For details on how to install Prometheus please check How to install, configure Prometheus for Monitoring on a Linux Server Other valuable articles are here: How to Overlay two files with UnionFs in a Linux System and How to install Redis on a Linux System and How to Install Apache Subversion on a Linux System and How to install Rust in a Linux System. It gathers data from configured targets at predetermined intervals, analyzes rule expressions, presents the findings, and can send alerts when certain circumstances are satisfied. System and service monitoring is what Prometheus does.
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