Configuring a Scaling Policy of a Component Instance

Configuring a Graceful Scale-In Policy

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. On the Scaling page, configure a graceful scale-in policy.

   Set Graceful Time Window (s). Specifically, click , enter a value, and click .

Configuring a Manual Scaling Policy

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. In the Manual Scaling area on the Scaling page, configure a manual scaling policy.
   • For components deployed in the Kubernetes environment, perform the following operations:
     1. Click and change the number of instances.
     2. Click for the instance scaling to take effect.

Configuring an HPA Policy

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. On the Scaling page, click next to Auto Scaling by HPA to enable auto scaling policy configuration. The Policy page is displayed.
   • If metrics-server has not been installed in the CCE cluster, go to 4.
   • If metrics-server has been installed in the CCE cluster, go to 6.

4. Click Configure Now to install the metrics-server add-on on the CCE console.

   Install the metrics-server add-on for the CCE cluster. For details, see metrics-server.

5. After the add-on is installed, return to the Policy page and click refresh.
6. Configure the scaling policy.
   1. Policy Name

      Enter a policy name. After an auto scaling policy is configured, its name cannot be changed.

   2. Cooldown Period

      Enter a scale-out/scale-in cooldown period.

      The same scaling operation will not be triggered again within the specified period.

   3. Pod Range

      Enter the minimum and maximum numbers of instances.

      After the policy is triggered, the workload pods are scaled within this range.

   4. Trigger Condition

      You can change trigger condition on the GUI or by editing the YAML file.

      • GUI

        Set Desired Value and Threshold (scale-in and scale-out thresholds) of CPU usage and Memory usage.

        After the policy is triggered, the number of instances to be scaled is calculated by rounding up the value of (Current CPU or memory usage/Expected value x Number of running instances).

        • Scale-in is triggered when the current CPU or memory usage is less than the scale-in threshold.
        • Scale-out is triggered when the current CPU or memory usage is greater than the scale-out threshold.
      • YAML

         metrics:
           - type: Resource
             resource:
               name: cpu
               target:
                 type: Utilization
                 averageUtilization: 50
           - type: Resource
             resource:
               name: memory
               target:
                 type: Utilization
                 averageUtilization: 50
           - type: Pods
             pods:
               metric:
                 name: packets-per-second
               target:
                 type: AverageValue
                 averageValue: 1k
           - type: Object
             object:
               metric:
                 name: requests-per-second
               describedObject:
                 apiVersion: networking.k8s.io/v1beta1
                 kind: Ingress
                 name: main-route
               target:
                 type: Value
                 value: 10k

        As shown in the preceding example, in addition to using the CPU and memory usage as metrics, you can use the YAML format to customize metric parameters and support more metrics such as pods, object, and external.

        

        To configure custom metric parameters by using YAML, ensure that the prometheus add-on has been installed for the CCE cluster.

        Install the prometheus add-on for the CCE cluster. For details, see prometheus.

7. Click OK.
   

   After the HPA policy is configured, you can perform the following operations based on service requirements:

   • Modifying an HPA Policy
   • Viewing the Running Status of the HPA Policy
   • Deleting an HPA Policy

Modifying an HPA Policy

You can edit an existing HPA policy and reconfigure policy parameters.

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. On the Scaling page, choose Policy, click Edit Policy, and reconfigure parameters.
   1. Cooldown Period

      Change the scale-out/scale-in cooldown period.

   2. Pod Range

      Change the minimum and maximum numbers of instances.

   3. Trigger Condition

      You can change trigger condition on the GUI or by editing the YAML file.

      • GUI

        Change Desired Value and Threshold (scale-in and scale-out thresholds) of CPU usage and Memory usage.

      • YAML

        You can use the YAML format to customize metric parameters and support more metrics such as pods, objects, and external.

        

        To configure custom metric parameters by using YAML, ensure that the prometheus add-on has been installed for the CCE cluster.

        Install the prometheus add-on for the CCE cluster. For details, see prometheus.

4. Click OK.

Viewing the Running Status of the HPA Policy

ServiceStage allows you to view the running status and events of a configured HPA policy.

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. On the Scaling page:
   • Click the Status tab to view the policy running status.
   • Click the Event tab to view events that occur during policy running.

Deleting an HPA Policy

You can delete an HPA policy that is no longer used.

Deleted policies cannot be recovered. Exercise caution when performing this operation.

1. Log in to ServiceStage.
2. Use either of the following methods to go to the Scaling page.
   • On the Application Management page, click the application to which the component belongs, and click the target component in Component List. In the left navigation pane, choose Scaling.
   • On the Component Management page, click the target component. In the left navigation pane, choose Scaling.

3. On the Scaling page, click on the right of Auto Scaling by HPA.

4. Click OK.