# Prometheus Monitoring and alerting system that collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed.
Metrics can also be pushed using plugins, in the event hosts are behind a firewall or prohibited from opening ports by security policy. ## Table of contents 1. [Components](#components) 1. [Extras](#extras) 1. [Configuration](#configuration) 1. [Queries](#queries) 1. [Further readings](#further-readings) 1. [Sources](#sources) ## Components Prometheus is composed by its **server**, the **Alertmanager** and its **exporters**. Alerting rules can be created within Prometheus, and configured to send custom alerts to _Alertmanager_.
Alertmanager then processes and handles the alerts, including sending notifications through different mechanisms or third-party services. The _exporters_ can be libraries, processes, devices, or anything else exposing metrics so that they can be scraped by Prometheus.
Such metrics are usually made available at the `/metrics` endpoint, which allows them to be scraped directly from Prometheus without the need of an agent. ### Extras As welcomed addition, [Grafana] can be configured to use Prometheus as a backend of its in order to provide data visualization and dashboarding functions on the data it provides. ## Configuration The default configuration file is at `/etc/prometheus/prometheus.yml`. ```yml global: scrape_interval: 15s scrape_configs: - job_name: prometheus static_configs: - targets: [ 'localhost:9090' ] - job_name: nodes static_configs: - targets: - fqdn:9100 - host.local:9100 - job_name: router static_configs: - targets: [ 'openwrt.local:9100' ] ``` ## Queries Prometheus' query syntax is [PromQL]. All data is stored as time series, each one identified by a metric name, e.g. `node_filesystem_avail_bytes` for available filesystem space.
Metrics' names can be used in the expressions to select all of the time series with this name and produce an **instant vector**. Time series can be filtered using selectors and labels (sets of key-value pairs): ```promql node_filesystem_avail_bytes{fstype="ext4"} node_filesystem_avail_bytes{fstype!="xfs"} ``` Square brackets allow to select a range of samples from the current time backwards: ```promql node_memory_MemAvailable_bytes[5m] ``` When using time ranges, the vector returned will be a **range vector**. [Functions] can be used to build advanced queries: ```promql 100 * (1 - avg by(instance)(irate(node_cpu_seconds_total{job='node_exporter',mode='idle'}[5m]))) ``` ![advanced query](prometheus%20advanced%20query.png) Labels are used to filter the job and the mode. `node_cpu_seconds_total` returns a **counter**, and the irate() function calculates the **per-second rate of change** based on the last two data points of the range interval.
To calculate the overall CPU usage, the idle mode of the metric is used. Since idle percent of a processor is the opposite of a busy processor, the irate value is subtracted from 1. To make it a percentage, it is multiplied by 100. ## Further readings - [Website] - [Github] - [`docker/monitoring`][docker/monitoring] - [Node exporter] - [SMNP exporter] - [`ordaa/boinc_exporter`][ordaa/boinc_exporter] - [Grafana] ## Sources All the references in the [further readings] section, plus the following: - [Getting started with Prometheus] - [Node exporter guide] - [SNMP monitoring and easing it with Prometheus] - [`prometheus/node_exporter`][prometheus/node_exporter] - [`prometheus/snmp_exporter`][prometheus/snmp_exporter] - [How I monitor my OpenWrt router with Grafana Cloud and Prometheus] [functions]: https://prometheus.io/docs/prometheus/latest/querying/functions/ [github]: https://github.com/prometheus/prometheus [node exporter guide]: https://prometheus.io/docs/guides/node-exporter/ [prometheus/node_exporter]: https://github.com/prometheus/node_exporter [prometheus/snmp_exporter]: https://github.com/prometheus/snmp_exporter [promql]: https://prometheus.io/docs/prometheus/latest/querying/basics/ [website]: https://prometheus.io/ [further readings]: #further-readings [grafana]: grafana.md [node exporter]: node%20exporter.md [snmp exporter]: snmp%20exporter.md [docker/monitoring]: ../docker/monitoring/README.md [getting started with prometheus]: https://opensource.com/article/18/12/introduction-prometheus [how i monitor my openwrt router with grafana cloud and prometheus]: https://grafana.com/blog/2021/02/09/how-i-monitor-my-openwrt-router-with-grafana-cloud-and-prometheus/ [ordaa/boinc_exporter]: https://gitlab.com/ordaa/boinc_exporter [snmp monitoring and easing it with prometheus]: https://medium.com/@openmohan/snmp-monitoring-and-easing-it-with-prometheus-b157c0a42c0c