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Cloud Parallel File Storage:View the performance monitoring data of a CPFS file system

Last Updated:Dec 24, 2024

The performance monitoring feature of Cloud Parallel File Storage (CPFS) allows you to view the performance details of a file system or a dataflow in real time, such as read/write IOPS and read/write throughput. This topic describes how to view the performance monitoring data of a CPFS for Lingjun file system.

Prerequisites

Usage notes

  • You can log on to the Cloud Monitor console or call the Cloud Monitor API to view the performance monitoring data of the client. For more information, see the Use the Cloud Monitor console or Use the Cloud Monitor API section of this topic.

  • If you use the CPFS for Lingjun file system with the Elastic Compute Service (ECS) or single-tenant Lingjun resources, hostname is the host name of a node.

  • If you use the CPFS for Lingjun file system with the general computing resources of PAI or Lingjun resources, hostname is the pod ID of a task.

Use the file storage console

  1. Log on to the NAS console.

  2. In the left-side navigation pane, choose Monitoring Audit > Performance Monitoring.

  3. In the top navigation bar, select a region.

  4. On the Performance Monitoring page, perform the following operations to view the performance monitoring details of the specified file system.

    1. In the File System Type drop-down list, select CPFS for Lingjun.

    2. Select the ID of the file system from the File System ID drop-down list.

    3. Select the query time (1 Hour, 1 Day, 7 Days, 14 Days, Current Month, and Last Month) or select the desired date range in the custom time box. The time range cannot exceed 30 days.

    4. Click the All or Dataflow tab to view the performance monitoring data of file systems or dataflow tasks, including import and export tasks.

Use the Cloud Monitor console

  1. Log on to the Cloud Monitor console.

  2. In the left navigation bar, choose Cloud Resource Monitoring > Cloud Service Monitoring.

  3. On the Cloud Service Monitoring page, enter CPFS and click Cloud Parallel File Storage (CPFS).

  4. On the Cloud Parallel File Storage (CPFS) page, select a region. Find the CPFS for Lingjun file system that you want to manage and click Monitoring Charts in the Actions column.

  5. On the details page of the Monitoring Charts, click the File System Monitoring tab to view the performance monitoring details of the file system or the client.

Use the Cloud Monitor API

You can call Cloud Monitor API operations to query the metrics of the CPFS for Lingjun file system. The following API operations are available:

The following table describes the request parameters for the CPFS for Lingjun file system.

Parameter

Description

Namespace

The namespace of the cloud service. The namespace of CPFS is acs_nas.

MetricName

The name of the metric. Valid values:

  • File System

    • IopsRead

    • IopsWrite

    • LatencyRead

    • LatencyWrite

    • QpsMeta

    • ThruputRead

    • ThruputWrite

  • Dataflow

    • ThroughputImport

    • ThroughputExport

    • QPSImportMeta

    • QPSExportMeta

    • IOPSImport

    • IOPSExport

    • LatencyImport

    • LatencyExport

  • Client

    • ClientReadIops

    • ClientWriteIops

    • ClientReadLatency

    • ClientWriteLatency

    • ClientReadThroughput

    • ClientWriteThroughput

Dimensions

The dimensions that specify the resources whose monitoring data you want to query. The format is as follows: {"userId":"xxxxxx","fileSystemId":"bmcpfs-xxxxx".

Note

Dimensions must be formatted as a JSON string in a specified order.

Related operations

  • You can configure alert rules to obtain information about exceptions at the earliest opportunity. If an exception occurs, the technical support personnel can process the exception to resume business at the earliest opportunity. For more information, see Configure a basic alert rule.

  • You can create groups to categorize multiple file systems. Then, you can manage alert rules and view monitoring data based on the groups. This reduces the management complexity and improves the monitoring efficiency. For more information, see Create an application group.