1.2. 示例：根据 CPU 使用情况自动扩展

在本例中，编配会检查 Telemetry 数据，并自动增加实例数量，以响应高 CPU 使用。创建堆栈模板和环境模板，以定义规则和后续配置。本例使用现有资源，如网络，并使用与您自己的环境中可能不同的名称。

注意

cpu_util 指标已弃用，并从 Red Hat OpenStack Platform 中删除。

流程

创建环境模板，描述实例类别、网络配置和镜像类型。将模板保存到 /home/<user>/stacks/example1/cirros.yaml 文件中。将 & lt;user > 变量替换为真实用户名。

  heat_template_version: 2016-10-14
  description: Template to spawn an cirros instance.

  parameters:
    metadata:
      type: json
    image:
      type: string
      description: image used to create instance
      default: cirros
    flavor:
      type: string
      description: instance flavor to be used
      default: m1.tiny
    key_name:
      type: string
      description: keypair to be used
      default: mykeypair
    network:
      type: string
      description: project network to attach instance to
      default: internal1
    external_network:
      type: string
      description: network used for floating IPs
      default: external_network

  resources:
    server:
      type: OS::Nova::Server
      properties:
        block_device_mapping:
          - device_name: vda
            delete_on_termination: true
            volume_id: { get_resource: volume }
        flavor: {get_param: flavor}
        key_name: {get_param: key_name}
        metadata: {get_param: metadata}
        networks:
          - port: { get_resource: port }

    port:
      type: OS::Neutron::Port
      properties:
        network: {get_param: network}
        security_groups:
          - default

    floating_ip:
      type: OS::Neutron::FloatingIP
      properties:
        floating_network: {get_param: external_network}

    floating_ip_assoc:
      type: OS::Neutron::FloatingIPAssociation
      properties:
        floatingip_id: { get_resource: floating_ip }
        port_id: { get_resource: port }

    volume:
      type: OS::Cinder::Volume
      properties:
        image: {get_param: image}
        size: 1

在 ~/stacks/example1/environment.yaml 中注册 Orchestration 资源：

resource_registry:

      "OS::Nova::Server::Cirros": ~/stacks/example1/cirros.yaml

创建堆栈模板。描述要监视的 CPU 阈值以及要添加的实例数量。也会创建一个实例组来定义可参与此模板的最小和最大实例数量。
注意
cpu_util 指标已弃用，并从 Red Hat OpenStack Platform 中删除。要获得等同的功能，请使用累积的 cpu 指标和一个包含 rate:mean 聚合方法的归档策略。例如，ceilometer-high-rate 和 ceilometer-low-rate。您必须将阈值从％转换为 ns，以使用 CPU utilisation 警报的 cpu 指标。公式为：time_ns = 1,000,000,000 x {granularity} x {percentage_in_decimal}。例如，如果阈值为 80%，粒度为 1s，阈值为 1,000,000,000 x 1 x 0.8 = 800,000,000.0

在 ~/stacks/example1/template.yaml 中保存以下值：

heat_template_version: 2016-10-14
  description: Example auto scale group, policy and alarm
  resources:
    scaleup_group:
      type: OS::Heat::AutoScalingGroup
      properties:
        cooldown: 300
        desired_capacity: 1
        max_size: 3
        min_size: 1
        resource:
          type: OS::Nova::Server::Cirros
          properties:
            metadata: {"metering.server_group": {get_param: "OS::stack_id"}}

    scaleup_policy:
      type: OS::Heat::ScalingPolicy
      properties:
        adjustment_type: change_in_capacity
        auto_scaling_group_id: { get_resource: scaleup_group }
        cooldown: 300
        scaling_adjustment: 1

    scaledown_policy:
      type: OS::Heat::ScalingPolicy
      properties:
        adjustment_type: change_in_capacity
        auto_scaling_group_id: { get_resource: scaleup_group }
        cooldown: 300
        scaling_adjustment: -1

    cpu_alarm_high:
      type: OS::Aodh::GnocchiAggregationByResourcesAlarm
      properties:
        description: Scale up if CPU > 80%
        metric: cpu
        aggregation_method: rate:mean
        granularity: 1
        evaluation_periods: 3
        threshold: 800000000.0
        resource_type: instance
        comparison_operator: gt
        alarm_actions:
          - str_replace:
              template: trust+url
              params:
                url: {get_attr: [scaleup_policy, signal_url]}
        query:
          str_replace:
            template: '{"=": {"server_group": "stack_id"}}'
            params:
              stack_id: {get_param: "OS::stack_id"}

    cpu_alarm_low:
      type: OS::Aodh::GnocchiAggregationByResourcesAlarm
      properties:
        metric: cpu
        aggregation_method: rate:mean
        granularity: 600
        evaluation_periods: 3
        threshold: 200000000.0
        resource_type: instance
        comparison_operator: lt
        alarm_actions:
          - str_replace:
              template: trust+url
              params:
                url: {get_attr: [scaledown_policy, signal_url]}
        query:
          str_replace:
            template: '{"=": {"server_group": "stack_id"}}'
            params:
              stack_id: {get_param: "OS::stack_id"}

  outputs:
    scaleup_policy_signal_url:
      value: {get_attr: [scaleup_policy, signal_url]}

    scaledown_policy_signal_url:
      value: {get_attr: [scaledown_policy, signal_url]}

构建镜像并部署实例：

  $ openstack stack create  -t template.yaml -e environment.yaml example
  +---------------------+--------------------------------------------+
  | Field               | Value                                      |
  +---------------------+--------------------------------------------+
  | id                  | 248a98bb-f56e-4934-a281-fffde62d78d8       |
  | stack_name          | example                                   |
  | description         | Example auto scale group, policy and alarm |
  | creation_time       | 2017-03-06T15:00:29Z                       |
  | updated_time        | None                                       |
  | stack_status        | CREATE_IN_PROGRESS                         |
  | stack_status_reason | Stack CREATE started                       |
  +---------------------+--------------------------------------------+

编排创建堆栈，并启动定义的最少 cirros 实例数量，如 scaleup_group 定义的 min_size 参数中定义。验证实例是否已成功创建：

  $ openstack server list
  +--------------------------------------+-------------------------------------------------------+--------+------------+-------------+-------------------------------------+
  | ID                                   | Name                                                  | Status | Task State | Power State | Networks                            |
  +--------------------------------------+-------------------------------------------------------+--------+------------+-------------+-------------------------------------+
  | e1524f65-5be6-49e4-8501-e5e5d812c612 | ex-3gax-5f3a4og5cwn2-png47w3u2vjd-server-vaajhuv4mj3j | ACTIVE | -          | Running     | internal1=10.10.10.9, 192.168.122.8 |
  +--------------------------------------+-------------------------------------------------------+--------+------------+-------------+-------------------------------------+

编排还创建两个 cpu 警报，它们触发 scale-up 或 scale-down 事件，如 cpu_ alarm_high 和 cpu_ alarm_low 中定义的。验证触发器是否存在：

  $ openstack alarm list
  +--------------------------------------+--------------------------------------------+-------------------------------------+-------------------+----------+---------+
  | alarm_id                             | type                                       | name                                | state             | severity | enabled |
  +--------------------------------------+--------------------------------------------+-------------------------------------+-------------------+----------+---------+
  | 022f707d-46cc-4d39-a0b2-afd2fc7ab86a | gnocchi_aggregation_by_resources_threshold | example-cpu_alarm_high-odj77qpbld7j | insufficient data | low      | True    |
  | 46ed2c50-e05a-44d8-b6f6-f1ebd83af913 | gnocchi_aggregation_by_resources_threshold | example-cpu_alarm_low-m37jvnm56x2t  | insufficient data | low      | True    |
  +--------------------------------------+--------------------------------------------+-------------------------------------+-------------------+----------+---------+

1.2. 示例：根据 CPU 使用情况自动扩展

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