Dynamic sensor assignment to Business Process channels via tags
As a Systems Engineer managing a large or frequently changing PRTG environment, I want to define a sensor tag as a dynamic filter for a Business Process channel, so that sensors are automatically added to or removed from the channel when their tags change — eliminating manual reconfiguration of Business Process Sensors every time the environment changes.
Background:
Business Process Sensor configurations are currently largely static. Sensors have to be manually assigned to individual Business Process channels.
For larger PRTG environments, it would be very useful to have the option to dynamically populate Business Process channels based on sensor tags.
Feature Request: A Business Process channel should optionally be configurable using a PRTG sensor tag as a dynamic filter.
For example:
Channel 1 → Tag: BPSServiceA
Channel 2 → Tag: BPSServiceB
Channel 3 → Tag: BPSServiceC
The Business Process Sensor would then automatically include all sensors that have the corresponding tag.
For example:
Channel 1
Tag: BPSServiceA
→ Server 01 – HTTP Sensor
→ Server 02 – HTTP Sensor
→ Server 03 – HTTP Sensor
→ Server 04 – HTTP Sensor
If a new sensor is assigned the tag BPSServiceA, it would automatically become part of Channel 1.
If the tag is removed from a sensor, the sensor would automatically be removed from the channel.
This would make Business Process Sensors significantly more dynamic and scalable. Changes in the monitored environment would no longer require manual updates to the Business Process configuration.
For example, when a new server is added, an administrator would only need to assign the appropriate tag to its sensors. The Business Process Sensor would automatically include them.
This would be especially valuable in larger environments and for automated monitoring deployments, where sensors are frequently added, removed, or changed.
Overall, this feature would greatly reduce administrative effort and make Business Process Sensors much easier to maintain at scale.