使用云监控指标自动调整部署规模

Question

我正在尝试根据CloudSQL实例响应时间自动扩展我的pod。我们使用cloudsql代理进行安全连接。已部署自定义度量适配器。

https://raw.githubusercontent.com/GoogleCloudPlatform/k8s-stackdriver/master/custom-metrics-stackdriver-adapter/deploy/production/adapter_new_resource_model.yaml

apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: application_name
spec:
minReplicas: 1
maxReplicas: 5
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: application_name
minReplicas: 1
maxReplicas: 5
metrics:
- type: Pods
pods:
metric:
name: custom-metric-stackdriver-adapter
target:
type: AverageValue
averageValue: 20

我部署了应用程序并为此创建了HPA，但我看到了错误。

AbleToScale    True    SucceededGetScale    the HPA controller was able to get the target's current scale
ScalingActive  False   FailedGetPodsMetric  the HPA was unable to compute the replica count: unable to get metric custom-metric: unable to fetch metrics from custom metrics API: the server could not find the descriptor for metric custom.googleapis.com/custom-metric: googleapi: Error 404: Could not find descriptor for metric 'custom.googleapis.com/custom-metric'., notFound
Events:
Type     Reason               Age                      From                       Message
----     ------               ----                     ----                       -------
Warning  FailedGetPodsMetric  4m22s (x10852 over 47h)  horizontal-pod-autoscaler  unable to get metric custom-metric: unable to fetch metrics from custom metrics API: the server could not find the descriptor for metric custom.googleapis.com/custom-metric: googleapi: Error 404: Could not find descriptor for metric 'custom.googleapis.com/custom-metric'., notFound

Answer 1

1. 请参阅下面的链接部署HorizontalPodAutoscaler(HPA(资源，以根据云监控指标扩展应用程序

https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics#custom-metric_4

2. 在应用程序和hpa部署配置文件(yaml(中，自定义度量名称似乎不同。应用程序和hpa部署配置文件中的度量和应用程序名称应相同。

3. 在hpa部署yaml文件中，

   a。将自定义公制堆叠驱动程序适配器替换为自定义公制(或更改应用程序部署yaml中自定义metric stackdriver适配器的metric名称文件(。

   b。在元数据的应用程序名称旁边添加"namespace:default"。而且确保在应用程序部署配置中添加命名空间文件

   c。删除重复的行6&7(最小副本数：1，最大副本数：5(。

   d。转到云控制台->Kubernetes引擎->工作量。删除由应用程序部署yaml和adapter_new_resource_model.yaml文件创建的工作负载(应用程序名称和自定义度量stackdriver适配器(。

   e。现在将配置应用于资源模型、应用程序和hpa(yaml文件(。