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Infrastructure monitoring

Last Updated: Feb 01, 2019

EDAS collects data from the ECS instance that runs applications and provides the single-instance and cluster views of the CPU, memory, load, network, and disk metrics based on the analysis results.Data in all monitoring views is collected and processed in the units of applications.

Note:

  • Due to the latency between data collection and data analysis, EDAS cannot provide real-time monitoring views. It currently has a latency of two minutes.
  • For Kubernetes applications, if pods are changed upon upgrades or scaling, breakpoints occur and the monitoring data becomes discontinuous.

Perform the following steps to view a cluster or single-instance statistical view:

  1. Log on to the EDAS console.

  2. In the left-side navigation pane, choose Application Management > Applications. On the Applications page, click the name of the target application.

  3. On the Application Details page, choose Application Monitoring > Infrastructure Monitoring in the left-side navigation pane.

    On the Infrastructure Monitoring page, group data in the latest half of an hour is monitored by default.

    You can select an interval to monitor group data at another interval, or click the Single Instance Data tab to monitor single-instance data.

  4. On the Infrastructure Monitoring page, select a monitoring data type.

    Data to be monitored includes group data and single-instance data.

    The following column metrics of the two data types are monitored from different dimensions:

    CPU Data: indicates the CPU usage, which is the sum of the user usage and system usage. The group data graph displays the average usage of all ECS instances in the application group.

    Memory Data: indicates the total and actually used physical memory. The group data graph displays the total memory size and the total memory usage of all ECS instances in the application group.

    Load Data: indicates the “One-Minute Load” field for the system workload. The group data graph displays the average “One-Minute Load” of all ECS instances in the application group.

    Network Speed Data: indicates the read and write speeds of the NIC. If an ECS instance contains multiple NICs, this parameter indicates the summed read and write speeds of all NICs whose names start with “eth”. The group data graph displays the average summed read and writes speeds of all ECS instances in the application group.

    Disk Data: indicates the total and actually used size of all disks mounted to the ECS instance. The group data graph displays the total disk size and the total disk usage of all ECS instances in the application group.

    Disk Reading and Writing Speeds: indicates the summed read and write speeds of all disks mounted to the ECS instance. The group data graph displays the average summed read and write speeds of the disks on all ECS instances in the application group.

    Disk Reading and Writing Numbers: indicates the summed IOPS values of all disks mounted to the ECS instance. The group data graph displays the average summed IOPS values of the disks on all ECS instances in the application group.

  5. Set the interval.

    You can set the interval to “Half an Hour,” “Six Hours,” “One Day,” or “One Week.”

    • Half an Hour: collects the monitoring data generated in the last 30 minutes. This statistical period is applied by default when you are on the Infrastructure Monitoring page.In this statistical period, data is collected every minute, which is the finest query granularity by EDAS.

    • Six Hours: collects the monitoring data in the last six hours. During this statistical period, data is collected every five minutes.

    • One Day: collects the monitoring data in the last 24 hours. During this statistical period, data is collected every 15 minutes.

    • One Week: collects the monitoring data in the last seven days. During this statistical period, data is collected every hour. This period is also the longest statistical cycle supported by EDAS.

    Note: The period between “Start Time” and “End Time” indicates the time span displayed currently.When you set one of the parameters, the corresponding parameter is automatically updated. For example, if you select “30 minutes” and set “End Time” to “2016-05-20 12:00:00,” “Start Time” automatically changes to “2016-05-20 11:30:00.”

    After configuration, monitored data is automatically updated based on the selected interval.

  6. (Optional) View the enlarged graph of a specific metric.

    When viewing a monitoring view, click “Zoom In” under a metric to view an enlarged graph of the metric, and adjust the interval in the enlarged graph.

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