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Prometheus mirror
StackState Self-hosted v5.0.x
This page describes StackState version 5.0.
Prometheus mirror is a gateway between StackState and Prometheus that enables Prometheus telemetry in StackState.
The Prometheus Mirror has the following prerequisites:
- The mirror must be reachable from StackState
- Prometheus must be reachable from the mirror without authentication
The Prometheus mirror is available via the StackState helm repository. Configure your helm with these 2 commands:
helm repo add stackstate https://helm.stackstate.io
helm repo update
Install the Prometheus mirror with the following command:
helm install prometheusmirror stackstate/prometheusmirror --set global.apiKey=API_KEY
Alternatively, you can use the Docker container directly:
docker pull stackstate/prometheusmirror:latest
The Prometheus mirror is configured using the following parameters:
global.apiKey- the API key used to authenticate communication between the mirror and StackStateworkers- number of workers processes (default:20)port- the port the mirror is listening on (default:9900)
In order to start using Prometheus mirror in StackState one has to create Mirror Datasource
Create a new Mirror datasource:
- DataSourceUrl - points to the Prometheus mirror endpoint, for example
http://prometheusmirror.stackstate.svc.cluster.local:9900/ - API Key - should be the same key as specified by
global.apiKeymirror configuration - Connection Details JSON - the mirror configuration json, for example:{"host": "<prometheus host>","port": <prometheus port>,"requestTimeout": 20000}Prometheus host/port refers to the actual Prometheus host/port (not the mirror).
Counter queries fetch counter metrics from Prometheus. The retrieved counter values are transformed to a rate.
The following are sample parameters for a counter query:
- __counter__ = go_memstats_lookups_total
- job = payment-service
- name = payment
- instance = 127.0.0.1:80
Gauge queries fetch gauge metrics from Prometheus.
The following are sample parameters for a gauge query:
- __gauge__ = go_gc_duration_seconds
- job = payment-service
- name = payment
- instance = 127.0.0.1:80
Prometheus histogram and summary queries are not supported from the query interface. They still can be configured using tilda-query.
The query allows arbitrary Prometheus queries, for example:
~ = histogram_quantile(0.95, sum(rate(request_duration_seconds_bucket{instance='127.0.0.1:80', name='payment-service'}[1m])) by (name, le)) * 1000
Last modified 1yr ago