3.3. 创建用于自动扩展的堆栈部署
为工作的 VNF 自动扩展示例创建堆栈部署。
流程
使用您的 overcloud 管理员凭证登录 undercloud 主机,如
overcloudrc
:(undercloud)$ source ~/overcloudrc
创建堆栈:
$ openstack stack create \ -t $HOME/templates/autoscaling/vnf/template.yaml \ -e $HOME/templates/autoscaling/vnf/resources.yaml \ vnf
验证
验证堆栈是否已成功创建:
$ openstack stack show vnf -c id -c stack_status +--------------+--------------------------------------+ | Field | Value | +--------------+--------------------------------------+ | id | cb082cbd-535e-4779-84b0-98925e103f5e | | stack_status | CREATE_COMPLETE | +--------------+--------------------------------------+
验证堆栈资源是否已创建,包括警报、扩展策略和自动扩展组:
$ export STACK_ID=$(openstack stack show vnf -c id -f value)
$ openstack stack resource list $STACK_ID +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+ | resource_name | physical_resource_id | resource_type | resource_status | updated_time | +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+ | cpu_alarm_high | d72d2e0d-1888-4f89-b888-02174c48e463 | OS::Aodh::GnocchiAggregationByResourcesAlarm | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaleup_policy | 1c4446b7242e479090bef4b8075df9d4 | OS::Heat::ScalingPolicy | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | cpu_alarm_low | b9c04ef4-8b57-4730-af03-1a71c3885914 | OS::Aodh::GnocchiAggregationByResourcesAlarm | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaledown_policy | a5af7faf5a1344849c3425cb2c5f18db | OS::Heat::ScalingPolicy | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaleup_group | 9609f208-6d50-4b8f-836e-b0222dc1e0b1 | OS::Heat::AutoScalingGroup | CREATE_COMPLETE | 2022-10-06T23:08:37Z | +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+
通过堆栈创建验证实例是否已启动:
$ openstack server list --long | grep $STACK_ID | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7 | vn-dvaxcqb-6bqh2qd2fpif-hicmkm5dzjug-vnf-ywrydc5wqjjc | ACTIVE | None | Running | private=192.168.100.61, 192.168.25.99 | fedora36 | a6aa7b11-1b99-4c62-a43b-d0b7c77f4b72 | m1.small | 5cd46fec-50c2-43d5-89e8-ed3fa7660852 | nova | host-80.localdomain | metering.server_group='cb082cbd-535e-4779-84b0-98925e103f5e' |
验证是否为堆栈创建了警报:
列出警报 ID。在一段时间内,警报的状态可能位于
数据不足
的状态。最短的时间是数据收集和数据存储粒度设置的轮询间隔:$ openstack alarm list +--------------------------------------+--------------------------------------------+---------------------------------+-------+----------+---------+ | alarm_id | type | name | state | severity | enabled | +--------------------------------------+--------------------------------------------+---------------------------------+-------+----------+---------+ | b9c04ef4-8b57-4730-af03-1a71c3885914 | gnocchi_aggregation_by_resources_threshold | vnf-cpu_alarm_low-pve5eal6ykst | alarm | low | True | | d72d2e0d-1888-4f89-b888-02174c48e463 | gnocchi_aggregation_by_resources_threshold | vnf-cpu_alarm_high-5xx7qvfsurxe | ok | low | True | +--------------------------------------+--------------------------------------------+---------------------------------+-------+----------+---------+
列出堆栈的资源,并记录下
cpu_alarm_high
和cpu_alarm_low
资源的physical_resource_id
值。$ openstack stack resource list $STACK_ID +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+ | resource_name | physical_resource_id | resource_type | resource_status | updated_time | +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+ | cpu_alarm_high | d72d2e0d-1888-4f89-b888-02174c48e463 | OS::Aodh::GnocchiAggregationByResourcesAlarm | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaleup_policy | 1c4446b7242e479090bef4b8075df9d4 | OS::Heat::ScalingPolicy | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | cpu_alarm_low | b9c04ef4-8b57-4730-af03-1a71c3885914 | OS::Aodh::GnocchiAggregationByResourcesAlarm | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaledown_policy | a5af7faf5a1344849c3425cb2c5f18db | OS::Heat::ScalingPolicy | CREATE_COMPLETE | 2022-10-06T23:08:37Z | | scaleup_group | 9609f208-6d50-4b8f-836e-b0222dc1e0b1 | OS::Heat::AutoScalingGroup | CREATE_COMPLETE | 2022-10-06T23:08:37Z | +------------------+--------------------------------------+----------------------------------------------+-----------------+----------------------+
physical_resource_id
的值必须与openstack alarm list
命令的输出中的alarm_id
匹配。
验证堆栈是否存在指标资源。将
server_group
查询的值设置为堆栈 ID:$ openstack metric resource search --sort-column launched_at -c id -c display_name -c launched_at -c deleted_at --type instance server_group="$STACK_ID" +--------------------------------------+-------------------------------------------------------+----------------------------------+------------+ | id | display_name | launched_at | deleted_at | +--------------------------------------+-------------------------------------------------------+----------------------------------+------------+ | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7 | vn-dvaxcqb-6bqh2qd2fpif-hicmkm5dzjug-vnf-ywrydc5wqjjc | 2022-10-06T23:09:28.496566+00:00 | None | +--------------------------------------+-------------------------------------------------------+----------------------------------+------------+
验证通过堆栈创建的实例资源是否存在测量:
$ openstack metric aggregates --resource-type instance --sort-column timestamp '(metric cpu rate:mean)' server_group="$STACK_ID" +----------------------------------------------------+---------------------------+-------------+---------------+ | name | timestamp | granularity | value | +----------------------------------------------------+---------------------------+-------------+---------------+ | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:11:00+00:00 | 60.0 | 69470000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:12:00+00:00 | 60.0 | 81060000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:13:00+00:00 | 60.0 | 82840000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:14:00+00:00 | 60.0 | 66660000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:15:00+00:00 | 60.0 | 7360000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:16:00+00:00 | 60.0 | 3150000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:17:00+00:00 | 60.0 | 2760000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:18:00+00:00 | 60.0 | 3470000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:19:00+00:00 | 60.0 | 2770000000.0 | | 62e1b27c-8d9d-44a5-a0f0-80e7e6d437c7/cpu/rate:mean | 2022-10-06T23:20:00+00:00 | 60.0 | 2700000000.0 | +----------------------------------------------------+---------------------------+-------------+---------------+