The icinga2-exporter utilizes the Icinga 2 REST API to fetch service based performance data and publish it in a way that lets Prometheus scrape the performance data as metrics.
The service is based on Quart. Quart's is compatible with Flask but based on Asyncio.
Benefits:
- Enable advanced queries and aggregation on timeseries
- Prometheus based alerting rules
- Grafana graphing
- Utilize investments with Icinga 2 of collecting metrics
Metrics that is scraped with the icinga2-exporter will have the following name structure:
icinga2_<check_command>_<perfname>_<unit>
The icinga2 prefix can be changed by the configuration Unit is only added if it exists on performance data
Example from check command check_ping will result in two metrics:
icinga2_ping_rta_seconds
icinga2_ping_pl_ratio
The icinga2-exporter adds a number of labels to each metrics:
- hostname - is the
host_namein icinga2 - service - is the
display_namein icinga2
Optional icinga2-exporter can be configured to add specific custom variables configured on the host.
Note:
Icinga 2 supports custom variables that can be complex data structures - but that is NOT currently supported.
Labels created from custom variables are all transformed to lowercase.
As described above the default naming of the Prometheus name is:
icinga2_<check_command>_<perfname>_<unit>
For some checks this does not work well like for the disk check command where the perfname are the unique mount paths.
For checks like that the where the perfname is defined depending on environment you can change so the perfname instead becomes a label.
This is defined in the configuration like:
perfnametolabel:
# The command name
disk:
# the label name to be used
label_name: mountSo if the check command is disk the Prometheus metrics will have a format like, depending on other custom variables :
icinga2_disk_bytes{hostname="icinga2", service="disk", os="Docker", mount="/var/lib/icinga2"} 48356130816.0
If we did not make this translation we would got the following:
icinga2_disk_slashvarslashibslashicinga2_bytes{hostname="icinga2", service="disk", os="Docker"} 48356130816.0
This would not be good from a cardinality point of view.
The scrape duration is a metrics that is reported for all targets.
icinga2_scrape_duration_seconds{hostname="<target>", server="<icinga2_server_url>"} 0.160983
When requests are made to the exporter the following responses are possible:
- A target that exists - return all metrics and http status 200
- A target does not exists - return no metrics, empty response, and http status 200
- The export fail to scrape metrics from icinga2 - return empty response and http status 500
In the last scenario the exporter will log the reason for the failed scrape. A failed scrape can have multiple reasons, for example:
- The icinga2 server is not responding
- Not having valid credentials
- Request to icinga2 timeout
The icinga2-exporter is configured by a yaml based configuration file.
Example:
# Port can be overridden by using -p if running development quart
#port: 9638
icinga2:
# The url to the icinga2 server
url: https://127.0.0.1:5665
user: root
passwd: cf593406ffcfd2ef
# All prometheus metrics will be prefixed with this string
metric_prefix: icinga2
# Example of custom vars that should be added as labels and how to be translated
host_custom_vars:
# Specify which custom_vars to extract from hosts in icinga2
- env:
# Name of the label in Prometheus
label_name: environment
- site:
label_name: dc
# This section enable that for specific check commands the perfdata metrics name will not be part of the
# prometheus metrics name, instead moved to a label
# E.g for the disk command the perfdata name will be set to the label disk like:
# icinga2_disk_bytes{hostname="icinga2", service="disk", os="Docker", disk="/var/log/icinga2"}
perfnametolabel:
# The command name
disk:
# the label name to be used
label: mount
logger:
# Path and name for the log file. If not set send to stdout
logfile: /var/tmp/icinga2-exporter.log
# Log level
level: INFOWhen running with gunicorn the port is selected by gunicorn
The log stream is configure in the above config. If logfile is not set the logs will go to stdout.
Logs are formatted as json so its easy to store logs in log servers like Loki and Elasticsearch.
Prometheus can be used with static configuration or with dynamic file discovery using the project monitor-promdiscovery.
Please add the job to the scrape_configs in prometheus.yml.
The target is the
host_nameconfigured in icinga2.
scrape_configs:
- job_name: 'icinga2'
metrics_path: /metrics
static_configs:
- targets:
- icinga2
- google.se
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: localhost:9638
scrape_configs:
- job_name: 'icinga2'
scrape_interval: 1m
metrics_path: /metrics
file_sd_configs:
- files:
- 'sd/icinga2_sd.yml'
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: localhost:9638
-
Check out the git repo.
-
Install dependency
pip install -r requirements.txt -
Build a distribution
python setup.py sdist -
Install locally
pip install dist/icinga2-exporter-X.Y.Z.tar.gz
Run the icinga2-exporter with the built-in Quart webserver:
python -m icinga2_exporter -f config.yml
To see all options:
python -m icinga2_exporter -h
Hypercorn is the recommended ASGI container for Quart. Install hypercorn with:
pip install hypercorn
Running with default config.yml. The default location is current directory
hypercorn "icinga2_exporter.main:create_app()
Set the path to the configuration file.
hypercorn "icinga2_exporter.main:create_app('/etc/icinga2-exporter/config.yml')"
Port 8000 is the default port for hypercorn. For more configuration for hypercorn please visit https://pgjones.gitlab.io/hypercorn/index.html
Check if exporter is working.
curl -s http://localhost:9638/health
Get metrics for a host where target is a host, host_name that exists in icinga2
curl -s http://localhost:9638/metrics?target=google.se
Python 3.
For required packages please review requirements.txt.
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