For notes-consideration:Maintains active data on Solid State MediaAll Cache protected by Disk Pool (7K, 10K, 15K)
Once a customer logs into the ZFSSA, they will see the summary screen just as any other login. The measurements will match what is displayed in the EM interface, but provides deeper analytics and management than through EM. More on the analytics feature can be found through other ZFSSA training courses.
This deck will describe some of the features of Enterprise Manager when using the ZFSSA plug-in. The monitoring of n ZFSSA appliances can be accomplished using EM, but much of the deeper management functions still reside on the appliance. To utilize EM for n-way monitoring, the plug-in must be installed and the appliance configured to report through EM.
The ZFSSA plug-in for EM is deployed using an agent on the appliance to talk with EM. This plug-in collects the data from the appliance and relays the content to the EM server. This data is now stored in EM for further reporting and historical views. Once activated, EM will display a set of screens and metrics specific to monitoring the ZFSSA.
By adding the ZFSSA plug-in to the existing EM instance, it is now possible to include monitoring of the ZFSSA along with monitoring of the entire environment. EM can be used as a stand-alone monitoring tools for multiple ZFSSA appliances, the ability to view systems from across the organization provides a greater opportunity to identify system performance and utilization. The common interface better integrates monitoring from a diverse set of resources.
Beyond the metrics presented in the summary, a broad set of statistics can be captured by EM for further analysis. The set of metrics is comprehensive of the appliance, including capture of cache, disk, network and protocol statistics. Collection can be turned on or off, and the collection frequency can be set individually, gathering more static measures less frequently, and performance measures more frequently. There is a very broad list of metrics that can be captured in the EM interface.
This is the comprehensive list of metrics that the plug-in can provide to EM for collection. Many of the metric families have a number of sub-metrics that can also be captured.
For alerting through EM, it is possible to set custom thresholds for the customer-defined metrics. This is in addition to collection frequency. The ability to set thresholds allows for differentiation of pool or share alerting based on level of criticality to the customer. In the graph view of metric history, it is also possible to test the thresholds, identifying when the alert may have been generated based on the defined target levels.
The integration from across various system types allows for reports to span across systems. Reports to map databases to storage targets or to view a history of network performance are available as an EM report.
From the controller summary page in EM, there is a link that will take you directly to the BUI of the ZFSSA. This will require a separate login, separating monitoring of system status and system management to allow for a wider set of enterprise roles.
More on EM and the ZFSSA plug-in can be found at these links. For more information on the plug-in, or for feedback on future enhancements, please contact Doug Chamberlain (firstname.lastname@example.org).
No Performance Impact ??
Source: Oracle Testing, published in “A Hybrid Columnar Compression Case Study with ExternalNAS and SAN Storage” by Art Licht, April 2012
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