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fix description about root /proxy path (#7902) 

Fix issue: https://github.com/kubernetes/kubernetes/issues/61826
Related change: https://github.com/kubernetes/kubernetes/pull/59884
This commit is contained in:
CaoShuFeng 2018-04-09 11:33:08 +08:00 committed by k8s-ci-robot
parent 372a37141a
commit 0cc85928a3
3 changed files with 3 additions and 3 deletions
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2
docs/tasks/administer-cluster/reconfigure-kubelet.md
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@ -112,7 +112,7 @@ configz endpoint:
```
$ export NODE_NAME=the-name-of-the-node-you-are-reconfiguring
$ curl -sSL http://localhost:8001/api/v1/proxy/nodes/${NODE_NAME}/configz | jq '.kubeletconfig|.kind="KubeletConfiguration"|.apiVersion="kubelet.config.k8s.io/v1beta1"' > kubelet_configz_${NODE_NAME}
$ curl -sSL http://localhost:8001/api/v1/nodes/${NODE_NAME}/proxy/configz | jq '.kubeletconfig|.kind="KubeletConfiguration"|.apiVersion="kubelet.config.k8s.io/v1beta1"' > kubelet_configz_${NODE_NAME}
```
Note that we have to manually add the `kind` and `apiVersion` to the downloaded

2
docs/tasks/configure-pod-container/assign-cpu-resource.md
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@ -108,7 +108,7 @@ kubectl proxy
In another command window, get the CPU usage rate from the heapster service:
```
curl http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/heapster/api/v1/model/namespaces/cpu-example/pods/cpu-demo/metrics/cpu/usage_rate
curl http://localhost:8001/api/v1/namespaces/kube-system/services/heapster/proxy/api/v1/model/namespaces/cpu-example/pods/cpu-demo/metrics/cpu/usage_rate
```
The output shows that the Pod is using 974 millicpu, which is just a bit less than

2
docs/tasks/configure-pod-container/assign-memory-resource.md
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@ -110,7 +110,7 @@ kubectl proxy
In another command window, get the memory usage from the Heapster service:
```
curl http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/heapster/api/v1/model/namespaces/mem-example/pods/memory-demo/metrics/memory/usage
curl http://localhost:8001/api/v1/namespaces/kube-system/services/heapster/proxy/api/v1/model/namespaces/mem-example/pods/memory-demo/metrics/memory/usage
```
The output shows that the Pod is using about 162,900,000 bytes of memory, which