More recent posts from the Servicenav team
The objective of this report is to be able to highlight the devices and/or services of one or more host(s) that regularly trigger alerts.
It is therefore necessary to review the hosts / unit services that regularly have issues, to attempt to reduce monitoring alerts or false positives.
For that, its useful to consult the following report: Monitoring data summary .
This report is available in the Configuration / Reporting menu.
– Type: reporting
The analysis will be performed on a period x days prior to Monday.
– Company / Site: choose the desired filter
– Hosts: choose the desired filter
In the example above, we only take Windows servers
– Services: select the filter
In the example above only disk space checks are considered.
– Sending Policy: select language and delivery method
Objective: to eliminate false positives that have been highlighted in the analysis.
We run the report manually and analyze it in Excel. To do this, in the Monitoring / Reports menu, select the report and click on the download arrow on the right of the screenshot
The resulting file is in Excel format and contains the following columns:
– Partner / Customer
– Company / Site
– Unit service
– Availability rate
– Number of transitions to critical
– Number of transitions to warning
– Number of transitions to unknown
– Number of transitions to indeterminate
– Time in Critical
– Time in Critical (in seconds)
– Time in Alert
– Time in Alert (in seconds)
– Time in unknown
– Time in unknown (in seconds)
– Time in indeterminate
– Time in indeterminate (in seconds)
What interests us most will be the number of transitions to a Critical state.
Here, we notice that my Disk-space has changed state 11 times over the period defined in my report.
When I look at my thresholds I may conclude that they are too low, resulting in the critical transition.
I choose to modify them to avoid having notifications about this check in future.
This report is therefore very useful in giving an overview of services or hosts that change status regularly. It makes it possible to adapt thresholds based on the analysis carried out.