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LogicMonitor’s HPE Nimble monitoring package leverages SSH and SNMP to monitor various metrics pertaining to disks, volumes, arrays, and general system health.
As of August 2020, LogicMonitor’s HPE Nimble package is known to be compatible with:
As HPE releases newer versions of Nimble, LogicMonitor will test and extend coverage as necessary. Note that some older versions may not support all datapoints.
Some of the LogicModules in this package use SNMP for data collection and others use SSH.
For the Nimble Volume Usage and Nimble Global Stats DataSources:
For all other LogicModules:
Add your HPE Nimble hosts into monitoring. For more information on adding resources into monitoring, see Adding Devices.
LogicMonitor must provide the appropriate credentials in order to successfully access the HPE Nimble resource. These credentials are entered as custom properties on the Nimble resource within LogicMonitor. For more information on setting properties, see Resource and Instance Properties.
From the LogicMonitor public repository, import all HPE Nimble LogicModules, which are listed in the LogicModules in Package section of this support article. If these LogicModules are already present, ensure you have the most recent versions.
Once the LogicModules are imported (assuming all previous setup requirements have been met), data collection will automatically commence.
For the DataSources that monitor disk metrics (Nimble_HDD_Disks, Nimble_SSD_Disks), one disk takes ~500ms to get data. If the number of disks divided by two is greater than the collection interval in seconds, you may need to increase the collection interval. For more information on updating the collection interval of a DataSource, see Creating a DataSource.
LogicMonitor’s package for HPE Nimble consists of the following LogicModules. For full coverage, please ensure that all of these LogicModules are imported into your LogicMonitor platform.
When setting static datapoint thresholds on the various metrics tracked by this package’s DataSources, LogicMonitor follows the technology owner’s best practice KPI recommendations. If necessary, we encourage you to adjust these predefined thresholds to meet the unique needs of your environment. For more information on tuning datapoint thresholds, see Tuning Static Thresholds for Datapoints.
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