How to Configure a Mask in Monitoring24
Masks are used in monitoring to filter data and only show the information that you are interested in. This can be helpful for reducing noise and improving the performance of your monitoring system.
There are two types of masks: data masks and field masks. Data masks are used to filter data based on its value, while field masks are used to filter data based on its field name.
Data Masks
Data masks are created using the following syntax:```
mask_name: value
```
For example, the following data mask would only show data with the value "foo":```
foo: *
```
You can also use wildcards in data masks. For example, the following data mask would show all data that starts with the letter "a":```
a*: *
```
Field Masks
Field masks are created using the following syntax:```
field_name: value
```
For example, the following field mask would only show data from the "name" field:```
name: *
```
You can also use wildcards in field masks. For example, the following field mask would show all data from fields that start with the letter "a":```
a*: *
```
Configuring Masks
Masks can be configured in the monitoring configuration file. The following example shows how to configure a data mask and a field mask:```
masks:
- name: foo
value: *
- name: name
value: *
```
Once you have configured masks, you can apply them to your monitoring system using the mask option. The following example shows how to apply a data mask to a metric:```
metrics:
- name: my_metric
mask: foo
```
The following example shows how to apply a field mask to a log:```
logs:
- name: my_log
mask: name
```
Using Masks
Masks can be used to improve the performance of your monitoring system by reducing noise. They can also be used to filter data based on specific criteria, such as only showing data from a specific host or application.
Here are some tips for using masks:* Use data masks to filter out noise and improve performance.
* Use field masks to filter data based on specific criteria.
* Experiment with different masks to find the ones that work best for your system.
Conclusion
Masks are a powerful tool that can be used to improve the performance and usability of your monitoring system. By understanding how to configure and use masks, you can get the most out of your monitoring system.
2025-01-19
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