Tacker Policy Framework¶
This section will introduce framework for tacker policy actions.
How to write a new policy action
Event and Auditing support
How to combine policy actions with existing monitoring frameworks in Tacker
Tacker policy actions framework provides the NFV operators and VNF vendors to write a pluggable action that manages their own VNFs. Currently Tacker already provided some common actions like autoscaling, respawning, and logging. With this framework the custom actions can be easily applied for the management purpose.
How to write a new policy action¶
A policy action for tacker is a python module which contains a class that inherits from “tacker.vnfm.policy_actions.abstract_action.AbstractPolicyAction”. If the driver depends/imports more than one module, then create a new python package under tacker/vnfm/policy_actions folder. After this we have to mention our driver path in setup.cfg file in root directory.
tacker.tacker.policy.actions = respawn = tacker.vnfm.policy_actions.respawn.respawn:VNFActionRespawn
Following methods need to be overridden in the new action:
This method must return the type of action. ex: respawn
This method must return the symbolic name of the vnf policy action.
This method must return the description for the policy action.
def execute_action(self, plugin, context, vnf, arguments)
This method must expose what will be executed with the policy action. ‘arguments’ is used to add more options for policy actions. For example, if action is scaling, ‘arguments’ should let you know ‘scaling-out’ or ‘scaling-in’ will be applied.
Event and Auditing support¶
This function can be used to describe the execution process of policy. For example:
_log_monitor_events(context, vnf_dict, "ActionRespawnHeat invoked")
How to combine policy with existing monitoring framework in Tacker¶
In the monitoring policy section, you can specify the monitors details with corresponding action.
The below example shows how policy is used for alarm monitor. Example Template —————-
policies: - vdu1_cpu_usage_monitoring_policy: type: tosca.policies.tacker.Alarming triggers: resize_compute: event_type: type: tosca.events.resource.utilization implementation: ceilometer metrics: cpu_util condition: threshold: 50 constraint: utilization greater_than 50% period: 65 evaluations: 1 method: avg comparison_operator: gt actions: [respawn]