5. Monitoring MetWork plugins¶
This section shows how to configure MetWork modules so that you can monitor your plugin and display dashboards through the tools offered in MFADMIN:
5.1. Configuration¶
In order to monitor MetWork plugins, you have first to:
install Metwork MFADMIN and MFSYSMON modules
configure the
[admin]
section and, optionally the[log]
section of theconfig/config.ini
in the root directory of the MetWork module (i.e. MFDATA, MFSERV, MFBASE,…),
Important
`bash
service metwork restart mfdata
`
5.1.1. Enable monitoring¶
To tell you want to monitor your plugins, first, set the hostname
parameter value with the host name or IP address where MFADMIN is running:
[admin]
# null => no monitoring
# hostname=null
# By setting hostname = localhost, we assume MFADMIN is running on the same Linux machine,
# if MFADMIN is running on a different machine, set hostname = {your_host_name} or {your_host_ip_address}
hostname=localhost
# influxdb_http_port=18086
...
Important
If the above hostname parameter is not set or set to null, no monitoring will be available and no data will be displayed in the Grafana dashboards and Kibana dashboards.
By setting hostname
, this will enable monitoring and the time-series metrics (by default). The metrics will be stored in the InfluxDB databases of the MFADMIN host. The corresponding dashboards will be available through Grafana on the MFADMIN host.
5.1.2. Enable monitoring based on standard logs and mflog logs¶
Now, if you want to monitor your plugins through mflog logs, in addition you have to set in the [log]
section of the config/config.ini
, the following parameters:
the
send_mflog_logs
parameter to1
the
json_file
parameter toAUTO
the
json_minimal_level
parameter to the desired level
[log]
...
# If send_mflog_logs=1, send mflog logs to the configured admin hostname
send_mflog_logs=1
# duplicate some log messages in JSON to a specific file (for external monitoring tool)
# If json_file value is:
# null => the feature is desactivated
# AUTO => the json_file is @@@MFMODULE_RUNTIME_HOME@@@/log/json_logs.log if
# [admin]/hostname != null else null (desactivated)
json_file=AUTO
# Minimal level for this json log file
# (DEBUG => everything,
# INFO => everything but not DEBUG,
# WARNING => everything but not DEBUG and INFO,
# ERROR => everything but not DEBUG, INFO and WARNING,
# CRITICAL => everything but not DEBUG, INFO, WARNING AND ERROR)
json_minimal_level=DEBUG
...
This will enable the standard logs and mflog logs to be stored in the ElasticSearch database of the MFADMIN host. The corresponding dashboards will be available through Kibana on the MFADMIN host.
In the above example, DEBUG
logs will be duplicated (JSON format) in the log/json_logs.log
file (in the root directory of the MetWork module user, e.g.mfadmin
).
Notice the json_minimal_level
parameter has nothing to do with the minimal_level
parameter. This allows you monitoring plugins by filtering logs with a different level.
Important
If monitoring is not enabled , the above configuration will have no effect.
Tip
With mflog <https://github.com/metwork-framework/mflog>, you may add some attributes to the logger (refer to mflog example <https://github.com/metwork-framework/mflog#what-is-it->). These attributes will be logged and may be displayed in the Kibana dashboards.
5.1.3. Enable monitoring based on nginx access logs¶
Note
This section applies only on MetWork modules which embed nginx
If you want to monitor the nginx access logs, you have to configure the send_nginx_logs
parameter in the the [log]
section of the config/config.ini
:
[log]
...
# If send_nginx_logs=1, send nginx access logs to the configured admin hostname
send_nginx_logs=1
...
This will enable the nginx access logs to be stored in the ElasticSearch database of the MFADMIN host. The corresponding dashboards will be available through Kibana on the MFADMIN host.
Important
If monitoring is not enabled , the above configuration will have no effect.
5.2. Grafana Time-series dashboards¶
Grafana dashboards are available from MFADMIN Grafana GUI Interface which is displayed through HTTP on http://{your_mfadmin_host}:15602
(default login is admin/admin
), e.g. http://localhost:15602.
Then, click on the module you want display dashboards.
Some default MFDATA dashboards:
Some default MFBASE dashboards:
Important
Tip
You may want to implement your own dashboard with specific metrics. In order to do this, you may refer to Create specific dashboards and the Implement custom monitoring and metrics in a plugin.
Tip
5.3. Kibana dashboards¶
Kibana dashboards are available from MFADMIN Kibana GUI Interface which is displayed through HTTP on http://{your_mfadmin_host}:15605
from a remote host and also http://localhost:156054
from the MFADMIN local host. The default login is admin/admin
.
After you logged in to Kibana, click the Dashboard
menu to select available dashboards to display.
The default dashboards provided by MetWork are:
5.3.1. mflog logs dashboards example¶
5.3.2. nginx logs dashboards example¶
nginx logs dashboards are similar to mflog logs dashboards, except data displayed.
5.3.3. Editing a Kibana dashboard visualization¶
In this section:
we will add some attributes the logger of the a move_image plugin, based on the
mflog example <https://github.com/metwork-framework/mflog#what-is-it->
)we will edit a Kibana
mflog logs
dashboard visualization in order to add the added attributes to be displayed.
Edit the main.py
script of the move_image plugin, and change as following:
#!/usr/bin/env python3
from acquisition import AcquisitionMoveStep
from mflog import get_logger
class Move_imageMoveMainStep(AcquisitionMoveStep):
plugin_name = "move_image"
step_name = "main"
log = get_logger("move_image")
log = log.bind(user="john")
log = log.bind(user_id=123)
def process(self, xaf):
self.log.warning("user logged in", happy=True, another_key=42)
return super().process(xaf)
if __name__ == "__main__":
x = Move_imageMoveMainStep()
x.run()
Then, run the plugin.
Open the MFADMIN Kibana GUI Interface and display the mflog logs
dashboard.
In the menu bar, click Edit.
To edit a visualisation of a panel, click the gear icon in the upper right. So, click the gear icon in the upper right of the mflog logs
panel:, then click edit visualization
:
Add the attributes:
Click Save in the menu bar, and enter a new name, e.g. mflog logs custom
Add filters: plugins:"move_image"
and level:"warning"
:
See also
Note
You may edit any Kibana dashboards, either data table or graphs.