EMC ECS Cluster Capacity Test

EMC ECS Cluster is a group of Virtual Data Centers (VDC) in the same geographical site. This test monitors the entire cluster for available capacity. With the help of metrics provided by this test, administrators can plan for any capacity crunch in advance.

Target of the test : A Dell EMC Elastic Cloud Storage System

Agent deploying the test : A remote agent

Outputs of the test : One set of results for each cluster in EMC ECS Storage system

Configurable parameters for the test
Parameter	Description
Test period	How often should the test be executed .
Host	The host for which the test is to be configured. Since the storage device is managed using the IP address of its storage controller, the same will be displayed as host.
Port	The port number at which the specified host listens. By default, this is NULL.
ECS REST API Port	This is the port at which REST API connectivity is provided. By default, port 4443 is used.
Username and Password	To collect performance metrics from the target storage device, the eG agent should be configured with the credentials of a user who is vested with "read-only" privileges to access REST API of the target storage device. Specify the credentials of such a user in the Username and Password text boxes.
Confirm Password	Confirm the password by retyping it here.
Timeout Seconds	Specify the time duration for which this test should wait for a response from the storage system in the Timeout text box. By default, this is 60 seconds.

Measurements made by the test
Measurement	Description	Measurement Unit	Interpretation
Total Size	Indicates the total capacity of the cluster	GB	Gives a clear indication of size of the cluster and id the size enough for a particular client use case.
Free Size	Indicates the free capacity available in the cluster	GB	For capacity planning purpose, it is important to know the free space available and if it can suffice the upcoming requirements.
Used Size	Indicates the capacity already used across the cluster.	GB
Percentage of used size	Indicates the total percentage of capacity used in the cluster.	Percentage	If the percentage is near 100, there is an immediate need for capacity planning for the cluster. You can go for either adding more capacity or releasing some of the existing capacity by deleting unused data.