Oracle ZFS SMB3 Traffic Test
Users access the nodes on the Oracle ZFS storage system via the communication protocols such as NFS, SMB/CIFS, HTTP/HTTPS, FTP, REST API, and SWIFT. These connections are a good indicator of the load on the storage system. If users complain about the poor connectivity to the storage system, administrators may want to check the protocol connections to figure out whether the storage system is stressed due to an overload condition. If so, administrators may also want to identify the protocol thorough which the maximum load is received by the storage system.
This test reports the average operations established through SMB3 protocol and reveals the peak IOPS. This way, the test measures the workload received via SMB3 protocol to each node in the storage cluster during the specified duration. The detailed diagnosis reveals the connections that had hit high/ low I/O operation peaks during that period.
Target of the test : Oracle ZFS Storage System
Agent deploying the test : A remote agent
Outputs of the test : One set of results for the Oracle ZFS Storage System being monitored.
Parameter | Description |
---|---|
Test period |
How often should the test be executed. |
Host |
The IP address of the target system that is being monitored. |
Port |
The port number through which Oracle ZFS Storage System communicates. The default port is 215. |
User, Password and Confirm Password |
By default, this test uses the REST API commands to pull out the required metrics. To execute the REST API commands, the eG agent requires the permission of a local administrator user who has been assigned with Basic role and a custom role with Analytics authorization and read permission. Specify the credentials of such a user in the USERNAME and PASSWORD text boxes and confirm the Password by retyping it in the CONFIRM PASSWORD text box. To create a new user with the required permissions, refer Creating a new user on Oracle ZFS Storage System. |
Timeout |
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. |
Num DD Messages |
By default, the NUM DD MESSAGES parameter is set to 10. This means that, by default, the detailed diagnosis of this test will report the details of the top-10 records of the measures that are obtained upon execution of this test. To view the details of more records as part of detailed metrics, you will have to increase the value of this parameter. Likewise, to view the details of less than 10 records, reduce the value of this parameter. |
DD Frequency |
Refers to the frequency with which detailed diagnosis measures are to be generated for this test. The default is 1:1. This indicates that, by default, detailed measures will be generated every time this test runs, and also every time the test detects a problem. You can modify this frequency, if you so desire. Also, if you intend to disable the detailed diagnosis capability for this test, you can do so by specifying none against DD frequency. |
Detailed Diagnosis |
To make diagnosis more efficient and accurate, the eG Enterprise embeds an optional detailed diagnostic capability. With this capability, the eG agents can be configured to run detailed, more elaborate tests as and when specific problems are detected. To enable the detailed diagnosis capability of this test for a particular server, choose the On option. To disable the capability, click on the Off option. The option to selectively enable/disable the detailed diagnosis capability will be available only if the following conditions are fulfilled:
|
Measurement | Description | Measurement Unit | Interpretation |
---|---|---|---|
Average SMB3 operations |
Indicates the average IOPS during the last measurement period. |
Operations/sec |
The value of this measure reveals the workload received via SMB3 protocol to each node in the storage cluster during the specified duration. |
Peak SMB3 operations |
Indicates the peak IOPS during the last measurement period |
Operations/sec |
Use the detailed diagnosis of this measure to know when high/ low peaks had occurred. This information will help in troubleshooting errors easily. |