Prometheus is a monitoring system that collects metrics in real time and stores them in a time series database.
Prometheus comes with a console accessible at the 9090 port of the application pod. By default, a template provides an existing service and a route to access it. It can be used to query and view metrics.
Prometheus terminology
Prometheus offers:
- counter
-
the simplest numerical type of metric whose value can be only increased. A typical example is counting the amount of HTTP requests that go through the system.
- gauge
-
numerical value that can be increased or decreased. Best suited for representing values of objects.
- histogram
-
a more complex metric that is suited for performing observations. Metrics are collected and grouped in configurable buckets, which allwos to present the results, for instance, in a form of a heatmap.
Configuring Prometheus
- apiVersion: v1
data:
prometheus.yml: |-
global:
scrape_interval: 5s (1)
evaluation_interval: 5s (2)
scrape_configs:
- job_name: 'che'
static_configs:
- targets: ['che-host:8087']
kind: ConfigMap
metadata:
name: prometheus-config
| 1 | rate, at which a target is scraped |
| 2 | rate, at which recording and alerting rules are re-checked (not used in our system at the moment) |
