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Table of Contents
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To help you detect and address changing demand for resources, the platform's control features include, monitoring, alerts with notifications, action plans for automation, and autoscaling.

  • To configure monitoring for a VM, edit the VM and fetch metrics. See VM monitoring and metrics.
  • To configure alarms for metrics, including VM metrics, go to Virtual datacenters → Alarms. See Manage cloud alarms
  • To configure alerts for alarms, and action plans to automate actions, go to Control → Alerts. See Control View
  • To get started scaling out a VM, create a scaling group for the VM, as described below. Then create an action plan to automatically run scaling actions. See Control View 

Basic control and scaling concepts

Alarms

An alarm activates when a metric passes a certain threshold. If you imagine a dashboard for your metrics, alarms are like red lights that light up when conditions change, for example, when there is a problem. 

Alerts

Alerts enable you to configure notifications or actions for the VMs in a virtual appliance. Alerts are like a worker monitoring a group of alarms; when all the lights for the group are lit up, the alert is activated. Abiquo alerts can trigger action plans.

Action plans

A sequence of actions to perform on a virtual appliance. An action plan is run by a trigger.

Trigger

A trigger is an alert or a schedule that will run the action plan, for example, during times of increased demand. 

Scaling group

For horizontal autoscaling, create a scaling group for a VM with rules to define how the platform should scale it out. You can then include scaling operations in an action plan.

Vertical scaling

Vertical scaling means adding more resources to an existing VM, for example, boosting your CPU and or RAM capacity.

Horizontal scaling

Horizontal scaling means deploying more VMs when you need more resources. 

Monitor virtual appliances

The Abiquo monitoring system displays VM metrics and the user can configure alerts to trigger actions if certain conditions are met within virtual appliances. If your virtual datacenter supports monitoring, but you don't see any metrics for your virtual appliance, you may need to edit your VMs and configure monitoring on the VM monitoring tab. See VM monitoring and metrics

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Privilege: Access virtual machine metrics

Then you can configure the display of metrics at the virtual appliance level.

To configure the refresh interval, select the Refresh data every checkbox and enter a number of minutes. Then choose the metrics you wish to display and filter by metric statistics.

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titleClick here to show/hide the screenshot

Screenshot: filtering metric statistics

After you have started fetching metrics, you can now configure alarms on these metrics. See Manage cloud alarms

Manage scaling groups

To configure an automatic response to changing demands for resources, you can scale out VMs, which is also called "horizontal autoscaling". To scale out, the platform clones the base VM and deploys the clones. To scale in, the platform will delete clone VMs but it will just undeploy the base VM. Scaling operations are subject to all standard platform constraints, such as privileges and allocation limits.

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titleScaling notes
  • Limitations:
    • The platform does not clone captured VMs, so you will need to create an instance and recreate the VM from the resulting template to use scaling groups
    • VApp specs do not support scaling groups
  • State of base VM: A scaling group with a deployed base VM would be destroyed if the base VM were deleted directly on the hypervisor. In contrast, a scaling group with an undeployed base VM is not vulnerable to interference at the hypervisor level


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Privilege: Manage scaling groups, Manage workflow for scaling groups


To use autoscaling do these steps:

  1. Create a base VM, which can be deployed or undeployed
  2. Define a scaling group with rules for scaling the VM
  3. Create an action plan with scaling actions for the VM. Create triggers for the action plan, which are either monitoring alerts for virtual appliances or schedules for planned scaling


Define a scaling group

Before you begin:

  1. Configure the base VM
  2. Ensure that you have enough resources in your virtual datacenter to deploy up to the maximum number of cloned VMs, especially IP addresses

To create a scaling group:

  1. In virtual appliance view, select the VM, and from the menu on the VM icon, select the Create scaling group option
  2. Enter the scaling parameters and rules
  3. Click Save

Include Page
GUI Create scaling group
GUI Create scaling group

When you save the scaling group, Abiquo will mark the VM icon with the scaling group symbol and display the scaling group name. If the minimum number of deployed VMs are not present and the scaling group is not in maintenance, Abiquo will create clones of the base machine and deploy them to reach the minimum size. The number in the bottom right-hand corner of the icon is the number of running VMs in the scaling group, including the base machine.

To open the scaling group and check its parameters, click the scaling group symbol in the top right-hand corner of the VM icon.

Triggering autoscaling

To trigger autoscaling operations, create an action plan with a scaling action for the VM with the scaling group. Then create triggers to run the action plan. See Manage action plans and triggers. When scaling, the platform will search for a rule that is valid for the specific time range, or for a default rule. It will create or delete/undeploy the number of VMs in the rule, then wait for the cooldown period before accepting another scaling request. 

To scale out, the platform does not deploy VMs that are undeployed in the scaling group. To clone the base VM, the platform will do the following:

  1. Create disks using the following:
    1. Copies of content of disks from the VM template
    2. Empty disks or volumes for each additional disk used in the VM
    3. Disk controllers used in the VM
  2. Apply ALL configuration used in the VM, for example:
    1. CPU and RAM
    2. Network connections of the same type (e.g. private network)
    3. Assignment of firewall policies and attachment to load balancers
    4. Chef recipes, backups, cloud-init, variables, and so on
    5. Metrics. The group of metrics from clone machines and the base machine (if it is deployed) can activate alarms in the base machine, even if it is not deployed
    6. Exception – Alarms: the scaling group has only one set of alarms in the base machine

To scale in,  Abiquo currently selects the VMs to delete or undeploy using first in, first out (FIFO). The platform deletes and undeploys VMs without requesting user confirmation when there are disks that are not stored in the Apps library (ISO configuration drive or additional hard disk). 

Perform maintenance on the scaling group

Maintenance mode temporarily disables autoscaling and enables you to make changes to your VMs (deploy, undeploy, delete etc.) and edit the scaling group. Note that you cannot delete the base VM without deleting the scaling group. Also you cannot create alarms for cloned VMs that are part of a scaling group, because the scaling group alarms are in the base VM. When you leave maintenance mode, Abiquo will apply your modifications to the scaling group, e.g. adding new rules. Then Abiquo will adjust the number of VMs in the group to within the minimum and maximum size range.

  • To put the scaling group in maintenance mode, click the "cog" maintenance button or trigger an action plan with the action "Scaling group: start maintenance mode"
  • To leave maintenance mode, click the "cog" maintenance button again or trigger an action plan with the action "Scaling group: end maintenance mode".

Move a scaling group to another virtual appliance in the same virtual datacenter

Restrict a scaling group


Delete a scaling group

When you delete a scaling group, Abiquo will place all the VMs in the virtual appliance as regular VMs and the scaling group constraints will no longer exist. To delete a scaling group, first put it into maintenance mode, then click the delete button.

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