Previous page: Events
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This document is part of the Abiquo walkthrough and it describes the Control view. |
The Control tab enables Users users to detect and automatically meet changing demands for resources on the platform. The foundation foundations of the control system is the metricare metrics, which can be a built-in metric standard metrics from a provider or hypervisor, or a custom metric metrics that the user creates and populates with values using the Abiquo API. Administrators can create custom metrics for infrastructure and all users can create custom metrics for virtual resources. There is an Alarms tab in the Infrastructure view for data centers, racks, physical machines, and VM entities on the Infrastructure path. And there is another Alarms tab in the Virtual datacenters view, for virtual resource entities, including VDCs, VApps, VMs, and scaling groups.
Users can detect metric conditions changes in metrics using Alarms and Alerts. 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 are like a worker monitoring a group of alarms; when all the lights for the group are lit up, the alert is activated.
Screenshot: Create alarm - the platform uses alarms to detect if a metric passes a threshold. Users create alarms for metrics by specifying the conditions with which to evaluate the metric
There is an Alarms tab in the Infrastructure view for data centers, racks, physical machines, and VM entities on the Infrastructure path. And there is another Alarms tab in the Virtual datacenters view, for virtual resource entities, including VDCs, VApps, VMs, and scaling groups.
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Screenshot: Alerts - Users can create Alerts alerts on the control Control tab. An Alert can notify users or trigger an action plan when a group of alarms are triggered, which means that a group of metrics passed certain thresholds.
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Users can define Scaling Groups scaling groups with rules for how to add more VMs or retire them. When the platform scales out, it will clone VMs according to the scaling rules.
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| title | Click here to show/hide the task: Define a scaling group |
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Scaling groups let you automate the response to resource demands of their applications and increment resources or VMs using action plans and scaling groups.
- Create a VM and enable metrics
- Create a scaling group for the VM with scaling rules and click Add
- If the scaling group is in maintenance mode, disable maintenance mode
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When the user defines a scaling group, they can automatically define a scaling action. The platform will automatically create the appropriate alarms, alerts, and action plan with scaling actions..
An action plan allows the user Users can also create action plans to define a sequence of actions to perform general actions, or actions on a VM, or a scaling group. Users can scale up a VM by at a scheduled time. Examples of actions are adding more resources to a VM, perform deploy, and power actions. To add , as well as adding more VMs to a scaling group, or scale scaling in to retire VMs, users can add a scale out or scale in action.
Screenshot: An action plan
After the User saves the action plan, they add schedules or alerts to run the action plan automatically.
Screenshot: Creating an Interval schedule for running an action plan. An Advanced schedule is a calendar schedule, as shown below the Interval schedule
Screenshot: Alerts for running an action plan
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Users can run action plans automatically based on schedules or alerts.
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The alternative to an Interval schedule is an Advanced schedule, which is a calendar schedule.
Also in the Control view, you can manage multicloud budgets, that can trigger notifications or alerts, and thus run action plans, for example, to deploy additional resources.
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In the Control view you will also find the search and reporting functions of the multicloud tagging feature that lets you inventory resources much more easily. And you can create tag policies to ensure users work with the correct tags and values. The tag Compliance report page will inform you of tags that do not comply with your tag policies.
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