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Asterisk integration for Grafana Cloud

Asterisk is a free and open source framework for building communications applications and is sponsored by Sangoma. Asterisk enables the creation of communication applications such as PBX (private branch exchange), VoIP (Voice over Internet Protocol), and conference servers. The Asterisk integration can monitor useful metrics and logs of an asterisk instance.

This integration includes 4 useful alerts and 2 pre-built dashboards to help monitor and visualize Asterisk metrics and logs.

Before you begin

In order for this integration to work, you must enable the embedded Prometheus exporter in Asterisk to collect and expose Asterisk metrics. The embedded Prometheus exporter also requires the embedded Asterisk HTTP server to be enabled.

When both the Asterisk HTTP server and Prometheus exporter are enabled - the metrics are exposed by default on the URL: http://localhost:8088/metrics

To enable logs collection, logging to file must be enabled in asterisk configuration.

Sample res_prometheus configuration /etc/asterisk/prometheus.conf

[general]
enabled = yes
core_metrics_enabled = yes
uri = metrics

Sample http_server configuration /etc/asterisk/http.conf

[general]
enabled=yes
enablestatic=yes
bindaddr=0.0.0.0
bindport=8088
prefix=
sessionlimit=100
session_inactivity=30000
session_keep_alive=15000

Sample file logging configuration in /etc/asterisk/logger.conf

[logfiles]
full => notice,warning,error,verbose,dtmf,fax

Once the configurations are updated, restart the Asterisk server with the following command: sudo systemctl restart asterisk Check the status of the Asterisk server: sudo systemctl status asterisk Then login to the Asterisk CLI to verify it’s running: sudo asterisk -r

The metrics should be exposed by the embedded Prometheus exporter on the URL http:/localhost:8088/metrics

Install Asterisk integration for Grafana Cloud

  1. In your Grafana Cloud stack, click Connections in the left-hand menu.
  2. Find Asterisk and click its tile to open the integration.
  3. Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Asterisk metrics and logs to your Grafana Cloud instance.
  4. Click Install to add this integration’s pre-built dashboards and alerts to your Grafana Cloud instance, and you can start monitoring your Asterisk setup.

Configuration snippets for Grafana Alloy

Simple mode

These snippets are configured to scrape a single Asterisk instance running locally with default ports.

First, manually copy and append the following snippets into your alloy configuration file.

Metrics snippets

alloy
discovery.relabel "metrics_integrations_integrations_asterisk_prom" {
	targets = [{
		__address__ = "localhost:8088",
	}]

	rule {
		target_label = "instance"
		replacement  = constants.hostname
	}
}

prometheus.scrape "metrics_integrations_integrations_asterisk_prom" {
	targets    = discovery.relabel.metrics_integrations_integrations_asterisk_prom.output
	forward_to = [prometheus.remote_write.metrics_service.receiver]
	job_name   = "integrations/asterisk-prom"
}

Logs snippets

darwin

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

linux

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

windows

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

Advanced mode

The following snippets provide examples to guide you through the configuration process.

To instruct Grafana Alloy to scrape your Asterisk instances, manually copy and append the snippets to your alloy configuration file, then follow subsequent instructions.

Advanced metrics snippets

alloy
discovery.relabel "metrics_integrations_integrations_asterisk_prom" {
	targets = [{
		__address__ = "localhost:8088",
	}]

	rule {
		target_label = "instance"
		replacement  = constants.hostname
	}
}

prometheus.scrape "metrics_integrations_integrations_asterisk_prom" {
	targets    = discovery.relabel.metrics_integrations_integrations_asterisk_prom.output
	forward_to = [prometheus.remote_write.metrics_service.receiver]
	job_name   = "integrations/asterisk-prom"
}

To monitor your Asterisk instance, you must use a discovery.relabel component to discover your Asterisk Prometheus endpoint and apply appropriate labels, followed by a prometheus.scrape component to scrape it.

Configure the following properties within each discovery.relabel component:

  • __address__: The address to your Asterisk Prometheus metrics endpoint.
  • instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Asterisk instance. Make sure this label value is the same for all telemetry data collected for this instance.

If you have multiple Asterisk servers to scrape, configure one discovery.relabel for each and scrape them by including each under targets within the prometheus.scrape component.

Advanced logs snippets

darwin

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

To monitor your Asterisk instance logs, you will use a combination of the following components:

  • local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:

    • __address__: The Asterisk instance address
    • __path__: The path to the log file. The agent also must be configured to collect logs from the full Asterisk log file as shown in the snippet.
    • instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Asterisk instance. Make sure this label value is the same for all telemetry data collected for this instance.
  • loki.source.file sends logs to Loki.

linux

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

To monitor your Asterisk instance logs, you will use a combination of the following components:

  • local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:

    • __address__: The Asterisk instance address
    • __path__: The path to the log file. The agent also must be configured to collect logs from the full Asterisk log file as shown in the snippet.
    • instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Asterisk instance. Make sure this label value is the same for all telemetry data collected for this instance.
  • loki.source.file sends logs to Loki.

windows

alloy
local.file_match "logs_integrations_integrations_asterisk_logs" {
	path_targets = [{
		__address__ = "localhost",
		__path__    = "/var/log/asterisk/full",
		instance    = constants.hostname,
		job         = "integrations/asterisk-logs",
	}]
}

loki.source.file "logs_integrations_integrations_asterisk_logs" {
	targets    = local.file_match.logs_integrations_integrations_asterisk_logs.targets
	forward_to = [loki.write.grafana_cloud_loki.receiver]
}

To monitor your Asterisk instance logs, you will use a combination of the following components:

  • local.file_match defines where to find the log file to be scraped. Change the following properties according to your environment:

    • __address__: The Asterisk instance address
    • __path__: The path to the log file. The agent also must be configured to collect logs from the full Asterisk log file as shown in the snippet.
    • instance label: constants.hostname sets the instance label to your Grafana Alloy server hostname. If that is not suitable, change it to a value uniquely identifies this Asterisk instance. Make sure this label value is the same for all telemetry data collected for this instance.
  • loki.source.file sends logs to Loki.

Grafana Agent static configuration (deprecated)

The following section shows configuration for running Grafana Agent in static mode which is deprecated. You should use Grafana Alloy for all new deployments.

Dashboards

The Asterisk integration installs the following dashboards in your Grafana Cloud instance to help monitor your system.

  • Asterisk - Logs
  • Asterisk - Overview

Overview

Overview

Logs Overview

Logs Overview

Channels Information

Channels Information

Alerts

The Asterisk integration includes the following useful alerts:

AlertDescription
AsteriskRestartedCritical: Asterisk instance restarted in the last minute.
AsteriskReloadedWarning: Asterisk instance reloaded in the last minute.
AsteriskHighScrapeTimeCritical: Asterisk instance core high scrape time.
AsteriskHighActiveCallsCountWarning: Asterisk high active call count.

Metrics

The most important metrics provided by the Asterisk integration, which are used on the pre-built dashboards and Prometheus alerts, are as follows:

  • asterisk_bridges_channels_count
  • asterisk_bridges_count
  • asterisk_calls_count
  • asterisk_calls_sum
  • asterisk_channels_count
  • asterisk_channels_duration_seconds
  • asterisk_channels_state
  • asterisk_core_last_reload_seconds
  • asterisk_core_properties
  • asterisk_core_scrape_time_ms
  • asterisk_core_uptime_seconds
  • asterisk_endpoints_channels_count
  • asterisk_endpoints_count
  • up

Changelog

md
# 0.0.5 - September 2023

* New Filter Metrics option for configuring the Grafana Agent, which saves on metrics cost by dropping any metric not used by this integration. Beware that anything custom built using metrics that are not on the snippet will stop working.
* New hostname relabel option, which applies the instance name you write on the text box to the Grafana Agent configuration snippets, making it easier and less error prone to configure this mandatory label.

# 0.0.4 - August 2023

* Add regex filter for logs datasource

# 0.0.3 - February 2023

* Add missing units to panel
* Rename alert summaries based on linting standards

# 0.0.2 - June 2022

* Update mixin to latest version:
  - Fix job variable regex

# 0.0.1 - March 2022

* Initial release

Cost

By connecting your Asterisk instance to Grafana Cloud, you might incur charges. To view information on the number of active series that your Grafana Cloud account uses for metrics included in each Cloud tier, see Active series and dpm usage and Cloud tier pricing.