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 .


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.


The port number at which the specified host listens. By default, this is NULL.


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


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


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.



Percentage of used size

Indicates the total percentage of capacity used in the cluster.


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.