ConnectWise RMM Devices Availability


Note: This feature is only available to partners in the NA and EU region.

With the new sync architecture (called 2.0) in place, you get to see your data in near real-time in the dashboard. These new 2.0 datasets empower you to make effective business decisions. Quick Sync gauges and dashboard reports are available for use with ConnectWise RMM to display device availability. The data in the Quick Sync gauges become available within a few minutes of creation or customer update. To learn more about displaying your most up-to-date data, refer to BrightGauge Dashboards documentation.


Note: The quick sync gauges on the executive dashboard include the Servers Availability - Online Vs Offline and Desktops Availability - Online Vs Offline.



  • Device Availability - This dataset contains device availability information for all endpoints under monitoring. Data is collected/refreshed in near real-time from the RMM system.

Quick Sync for RMM

Quick Sync gauges refresh every few minutes to provide the most up-to-date data and reporting from RMM. Quick Sync gauges can be added to your dashboard or reports to display the number of devices available, both online and offline. A green checkmark displays in the bottom right of the gauge to help you locate active Quick Sync gauges.





  • Servers Availability - Online Vs Offline: Displays the number of servers that are currently online and offline against the total number of servers in your organization. 
  • Desktops Availability - Online Vs Offline: Displays the number of desktops that are currently online and offline against the total number of desktops in your organization.

Field Descriptions  

Drill-down information is available from Quick Sync gauges:


Company Name Displays the name of the company associated with the managed endpoint
Site Name Displays the site name for the managed endpoint.
Resource Name Displays the actual endpoint name for the managed device.
Resource Friendly Name Displays the friendly name for the managed endpoint
Endpoint Type Displays the endpoint type of the managed device.
Endpoint ID Displays the unique id for the managed endpoint.
OS Name Displays the operating system for the managed endpoint
Machine State Displays the current state of the device (Online/Offline)
Last Online Displays the date/time when the device last communicated with our DC.
Offline Since Displays the duration in minutes for which the device was registering as offline.
CSV Export details from individual gauges. A link to the CSV file is sent to the email address associated with your BrightGauge account. Click the Download CSV link in the email. A new tab opens in your active web browser window and the file is downloaded.


Invalid Dataset Error

Quick Sync for RMM uses new 2.0 datasets to function. The new 2.0 datasets work independently. Today, these datasets cannot be combined with existing datasets for creating multi-layer gauges. If you attempt to create a multi-layer gauge using a 2.0 dataset and a standard dataset you will receive the following error screen.

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How do you access this feature?

A Command/ConnectWise RMM partner can access BrightGauge by clicking on BrightGauge > Reporting in RMM portal and will receive these new 2.0 datasets. Some partners access BrightGauge directly, without going through RMM portal, so we have created mappings for these partners in the system so that they can also receive these new 2.0 datasets. Partners who currently don't have a Command integration in BrightGauge but plan to onboard to Command/ConnectWise RMM in the future should log into BrightGauge via RMM portal. 

What is the benefit of Quick Sync?

We know that you use dashboards to make informed business decisions and that time is key. Quick Sync displays your most up-to-date data in a clear and concise way that allows you to see what is happening in your business in near real time.  

How does this integrate with existing product features?

The new 2.0 datasets work independently. These datasets cannot be combined with existing datasets for creating multi-layer gauges. In the future, we hope to add more 2.0 datasets and upgrade the older datasets.

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