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Using Custom Monitoring

The Custom Monitoring page displays all custom metrics published by users. You can use simple API requests to publish collected monitoring data of those metrics to Cloud Eye for processing and display.

For details about how to add monitoring data, see Adding Monitoring Data (RESTful API), Adding Monitoring Data in Cloud Eye Java SDK Demo, and Adding Monitoring Data in Cloud Eye Python SDK Demo.

Viewing Custom Monitoring

  1. Log in to the management console.
  2. Under Management & Deployment, select Cloud Eye.
  3. In the navigation pane on the left, choose Custom Monitoring.
  4. On the Custom Monitoring page, view the data published by yourself through API requests, including custom services and metrics.
  5. Locate the row that contains the target cloud service resource and click View Metric in the Operation column.

    On the displayed page, you can view graphs based on raw data collected in 1h, 3h, and 12h. In the upper right corner of each graph, the maximum and minimum values of the metric in the corresponding time periods are dynamically displayed.

  6. If you want to view metric details, hover your mouse over a graph and click in the upper right corner.

    In the upper left corner, you can see six default monitoring periods: 1h, 3h, 12h, 1d, 7d, and 30d. You can also view the alarm history for any period during the last six months by customizing the monitoring period in the upper right corner of the graph.

    In the upper left corner of the graph, you can click Settings to configure the rollup method.

Creating an Alarm Rule

  1. Log in to the management console.
  2. Under Management & Deployment, select Cloud Eye.
  3. In the navigation pane on the left, choose Custom Monitoring.
  4. Locate the target cloud service resource and click Create Alarm Rule in the Operation column.
  5. Configure the alarm rule name, alarm policy, and alarm notification as prompted.

    After the alarm rule is created, if the custom metric data reaches the alarm policy, Cloud Eye immediately informs you, through SMN, that an exception has occurred.