我正在尝试在我的集群中实现 pod 的自动缩放。我尝试过“虚拟”部署和 hpa,但没有问题。现在,我正在尝试将它集成到我们的“真正的”微服务中,并且它不断返回
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededGetScale the HPA controller was able to get the target's current scale
ScalingActive False FailedGetResourceMetric the HPA was unable to compute the replica count: missing request for memory
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedGetResourceMetric 18m (x5 over 19m) horizontal-pod-autoscaler unable to get metrics for resource memory: no metrics returned from resource metrics API
Warning FailedComputeMetricsReplicas 18m (x5 over 19m) horizontal-pod-autoscaler failed to get memory utilization: unable to get metrics for resource memory: no metrics returned from resource metrics API
Warning FailedComputeMetricsReplicas 16m (x7 over 18m) horizontal-pod-autoscaler failed to get memory utilization: missing request for memory
Warning FailedGetResourceMetric 4m38s (x56 over 18m) horizontal-pod-autoscaler missing request for memory
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这是我的 hpa:
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
name: #{Name}
namespace: #{Namespace}
spec:
scaleTargetRef:
apiVersion: apps/v1beta1
kind: Deployment
name: #{Name}
minReplicas: 2
maxReplicas: 5
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 80
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
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部署
apiVersion: apps/v1
kind: Deployment
metadata:
name: #{Name}
namespace: #{Namespace}
spec:
replicas: 2
selector:
matchLabels:
app: #{Name}
template:
metadata:
annotations:
linkerd.io/inject: enabled
labels:
app: #{Name}
spec:
containers:
- name: #{Name}
image: #{image}
resources:
limits:
cpu: 500m
memory: "300Mi"
requests:
cpu: 100m
memory: "200Mi"
ports:
- containerPort: 80
name: #{ContainerPort}
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当我这样做时,我可以看到内存和 CPU kubectl top pods
。当我这样做时,我也可以看到请求和限制kubectl describe pod
。
Limits:
cpu: 500m
memory: 300Mi
Requests:
cpu: 100m
memory: 200Mi
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我能想到的唯一区别是我的虚拟服务没有 linkerd sidecar。
为了让 HPA 处理资源指标,Pod 的每个容器都需要对给定资源(CPU 或内存)进行请求。
Pod 中的 Linkerd sidecar 容器似乎没有定义内存请求(它可能有 CPU 请求)。这就是 HPA 抱怨missing request for memory
.
但是,您可以使用--proxy-cpu-request
和--proxy-memory-request
注入标志为 Linkerd 容器配置内存和 CPU 请求。
另一种可能性是使用这些注解来配置 CPU 和内存请求:
config.linkerd.io/proxy-cpu-request
config.linkerd.io/proxy-memory-request
以这些方式中的任何一种定义内存请求都应该使 HPA 工作。
参考:
--proxy-cpu-request
并--proxy-memory-request
替换--proxy-cpu
和--proxy-memory
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