Feature Memory Usage Test

Fractions of the global memory are allocated to each feature that is operational on the NetScaler appliance. Using this test, you can track the memory usage of each feature and accurately identify those features that are memory-intensive. Memory allocations to features can be fine-tuned based on the usage results reported by this test.

Target of the test : A NetScaler VPX/MPX

Agent deploying the test : A remote agent

Outputs of the test : One set of results for each feature configured on the NetScaler appliance being monitored.

Configurable parameters for the test

Parameter	Description
Test Period	How often should the test be executed.
Host	The IP address of the host for which the test is being configured.
NetScaler Username and NetScaler Password	To monitor a NetScaler device, the eG agent should be configured with the credentials of a user with read-only privileges to the target NetScaler device. Specify the credentials of such a user in the NetScaler Username and NetScaler Password text boxes.
Confirm Password	Confirm the NetScaler Password by retyping it here.
SSL	The eG agent collects performance metrics by invoking NITRO (NetScaler Interface Through Restful interfaces and Objects) APIs on the target NetScaler device. Typically, the NITRO APIs can be invoked through the HTTP or the HTTPS mode. By default, the eG agent invokes the NITRO APIs using the HTTPS mode. This is why, the SSL flag is set to Yes by default. If the target NetScaler device is not SSL-enabled, then the NITRO APIs can be accessed through the HTTP mode only. In this case, set the SSL flag to No.

Measurements made by the test

Measurement	Description	Measurement Unit	Interpretation
NetScaler memory available for use	Indicates the amount of NetScaler memory currently allocated for this feature.	MB
NetScaler memory used	Indicates the percentage of allocated memory currently used by this feature.	Percent	A value close to 100% is a cause for concern as it indicates excessive memory consumption by a feature. You can compare the value of this measure across features to identify which feature memory-hungry. Memory allocation to such features can be increased if found necessary.
Memory allocation failure	Indicates the amount of memory that failed during allocation to this feature.	MB	Allocation failures can occur owing to a memory crunch.