eG Monitoring
 

Measures reported by CtxSDXXenMemoryTest

The NetScaler SDX appliance provides memory that can be shared across VPX instances provisioned on the appliance.

Since memory is shared, if one/more instances consume memory excessively, the other instances will be forced to contend for limited memory resources. This, naturally, will degrade the performance of those instances and also that of the SDX appliance. If such a memory contention is to be prevented, administrators should track the memory used by the appliance, proactively detect a potential memory contention, and rapidly initiate pre-emptive measures. This is where the CtxSDXXenMemoryTest test helps!

This test monitors the memory usage of the SDX appliance and promptly alerts administrators if usage exceeds permissible limits. In the process, the test warns administrators of a probable memory contention and urges them to take immediate action.

Outputs of the test : One set of results for each interface supported by the target NetScaler SDX.

Measurement Description Measurement Unit Interpretation
Mem_total Indicates the total memory capacity of the SDX appliance. GB  
Mem_free Indicates the amount of memory that is unused. GB A high value is desired for this measure.
Mem_used Indicates the amount of memory that is in use. GB If the value of this measure is equal to or close to the value of the Mem_total measure, it is a cause for concern.
Mem_usage Indicates the percentage of memory that is used. Percent If the value of this measure is close to 100%, it indicates that appliance and the instances on it will soon run out of memory resources. Under such circumstances, it is good practice to use the SDX VPX Instances test to identify the memory-hungry VPX instances that are provisioned on the SDX appliance. By generating time-of-day graphs of the memory usage of those instances, you can figure out if those instances have been consuming a lot of memory consistently or sporadically. If the anomaly is consistent, you may want to consider increasing the memory allocation to such instances and decreasing the memory allocation to those that use less memory.