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Fix some spelling mistakes

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This commit is contained in:
Madhuri Kumari
2017-12-22 12:09:07 +05:30
parent 5d46bb8808
commit d1c597095f
5 changed files with 6 additions and 6 deletions
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docs/admin/multiple-zones.md
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@@ -43,7 +43,7 @@ placement, and so if the zones in your cluster are heterogeneous
(e.g. different numbers of nodes, different types of nodes, or (e.g. different numbers of nodes, different types of nodes, or
different pod resource requirements), this might prevent perfectly different pod resource requirements), this might prevent perfectly
even spreading of your pods across zones. If desired, you can use even spreading of your pods across zones. If desired, you can use
homogenous zones (same number and types of nodes) to reduce the homogeneous zones (same number and types of nodes) to reduce the
probability of unequal spreading. probability of unequal spreading.
When persistent volumes are created, the `PersistentVolumeLabel` When persistent volumes are created, the `PersistentVolumeLabel`
docs/concepts/architecture/cloud-controller.md
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@@ -97,7 +97,7 @@ The Node controller contains the cloud-dependent functionality of the kubelet. P
In this new model, the kubelet initializes a node without cloud-specific information. However, it adds a taint to the newly created node that makes the node unschedulable until the CCM initializes the node with cloud-specific information, and then removes this taint. In this new model, the kubelet initializes a node without cloud-specific information. However, it adds a taint to the newly created node that makes the node unschedulable until the CCM initializes the node with cloud-specific information, and then removes this taint.
### 3. Kubernets API server ### 3. Kubernetes API server
The PersistentVolumeLabels controller moves the cloud-dependent functionality of the Kubernetes API server to the CCM as described in the preceding sections. The PersistentVolumeLabels controller moves the cloud-dependent functionality of the Kubernetes API server to the CCM as described in the preceding sections.
docs/concepts/cluster-administration/controller-metrics.md
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@@ -13,10 +13,10 @@ the controller manager.
Controller manager metrics provide important insight into the performance and health of the controller manager. Controller manager metrics provide important insight into the performance and health of the controller manager.
These metrics include common Go language runtime metrics such as go_routine count and controller specific metrics such as These metrics include common Go language runtime metrics such as go_routine count and controller specific metrics such as
etcd request latencies or Cloudprovider (AWS, GCE, Openstack) API latencies that can be used etcd request latencies or Cloudprovider (AWS, GCE, OpenStack) API latencies that can be used
to gauge the health of a cluster. to gauge the health of a cluster.
Starting from Kubernetes 1.7, detailed Cloudprovider metrics are available for storage operations for GCE, AWS, Vsphere and Openstack. Starting from Kubernetes 1.7, detailed Cloudprovider metrics are available for storage operations for GCE, AWS, Vsphere and OpenStack.
These metrics can be used to monitor health of persistent volume operations. These metrics can be used to monitor health of persistent volume operations.
For example, for GCE these metrics are called: For example, for GCE these metrics are called:
docs/concepts/cluster-administration/device-plugins.md
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@@ -65,7 +65,7 @@ The general workflow of a device plugin includes the following steps:
```gRPC ```gRPC
service DevicePlugin { service DevicePlugin {
// ListAndWatch returns a stream of List of Devices // ListAndWatch returns a stream of List of Devices
// Whenever a Device state change or a Device disapears, ListAndWatch // Whenever a Device state change or a Device disappears, ListAndWatch
// returns the new list // returns the new list
rpc ListAndWatch(Empty) returns (stream ListAndWatchResponse) {} rpc ListAndWatch(Empty) returns (stream ListAndWatchResponse) {}
docs/concepts/configuration/manage-compute-resources-container.md
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@@ -312,7 +312,7 @@ Kubernetes version 1.8 introduces a new resource, _ephemeral-storage_ for managi
This partition is “ephemeral” and applications cannot expect any performance SLAs (Disk IOPS for example) from this partition. Local ephemeral storage management only applies for the root partition; the optional partition for image layer and writable layer is out of scope. This partition is “ephemeral” and applications cannot expect any performance SLAs (Disk IOPS for example) from this partition. Local ephemeral storage management only applies for the root partition; the optional partition for image layer and writable layer is out of scope.
**Note:** If an optional runntime partition is used, root partition will not hold any image layer or writable layers. **Note:** If an optional runtime partition is used, root partition will not hold any image layer or writable layers.
{: .note} {: .note}
### Requests and limits setting for local ephemeral storage ### Requests and limits setting for local ephemeral storage