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Monitoring Your AppSense DataNow Data: Now with Splunk!


I work with a lot of Enterprise customers using DataNow, and a good proportion of these have a Splunk deployment somewhere in their network. I’ve worked with a few customers in tweaking their Splunk setup to allow them to generate useful data from DataNow and wanted to share some insight into why I believe monitoring is a good idea, the monitoring options available, and some configuration tips for getting Splunk up and running with DataNow.

There are four main reasons you would want to monitor DataNow:

  • As an on boarding tool: When rolling out DataNow to a large number of users, most deployments will result in syncing traffic to or from the server. For this reason, mass deployments are usually rolled out in manageable chunks to avoid saturating network links and infrastructure. The DataNow Windows client uploads statistics to the appliance at every logon and every 24 hour interval reporting the amount of data in its cache and the amount of data still left to sync. These statistics are output by the appliance in the configured syslog stream so it can be used to track the progress of rollouts and used to define the optimum point at which the next batch of users can be on boarded.
  • As a security audit trail: This can be used to report on ‘who did what and when?’ for most features of DataNow, such as uploads, downloads, deletions, link based sharing etc.
  • To report on utilization: To provide insight into DataNow usage patterns by operation and by device – this can assist with infrastructure capacity planning and trends over time
  • As a support tool: Any server side failures such as bad passwords, users over quota, or other issues are output by syslog. Depending on the reporting platform used, these can be monitored proactively, and even have alerts created when a particular event is raised.

To learn more and to read the entire article at its source, please refer to the following page, Monitoring Your DataNow Data: Now with Splunk!- AppSense Blog

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