Merge pull request #26389 from kbhawkey/fixup-simply-usage

clean up use of word: simply

Author: k8s-ci-robot

content/en/docs/concepts/cluster-administration/manage-deployment.md

@@ -45,7 +45,7 @@ kubectl apply -f https://k8s.io/examples/application/nginx/
 
 `kubectl` will read any files with suffixes `.yaml`, `.yml`, or `.json`.
 
-It is a recommended practice to put resources related to the same microservice or application tier into the same file, and to group all of the files associated with your application in the same directory. If the tiers of your application bind to each other using DNS, then you can then simply deploy all of the components of your stack en masse.
+It is a recommended practice to put resources related to the same microservice or application tier into the same file, and to group all of the files associated with your application in the same directory. If the tiers of your application bind to each other using DNS, you can deploy all of the components of your stack together.
 
 A URL can also be specified as a configuration source, which is handy for deploying directly from configuration files checked into github:
 
@@ -265,7 +265,7 @@ For a more concrete example, check the [tutorial of deploying Ghost](https://git
 ## Updating labels
 
 Sometimes existing pods and other resources need to be relabeled before creating new resources. This can be done with `kubectl label`.
-For example, if you want to label all your nginx pods as frontend tier, simply run:
+For example, if you want to label all your nginx pods as frontend tier, run:
 
 ```shell
 kubectl label pods -l app=nginx tier=fe
@@ -411,7 +411,7 @@ and
 
 ## Disruptive updates
 
-In some cases, you may need to update resource fields that cannot be updated once initialized, or you may just want to make a recursive change immediately, such as to fix broken pods created by a Deployment. To change such fields, use `replace --force`, which deletes and re-creates the resource. In this case, you can simply modify your original configuration file:
+In some cases, you may need to update resource fields that cannot be updated once initialized, or you may just want to make a recursive change immediately, such as to fix broken pods created by a Deployment. To change such fields, use `replace --force`, which deletes and re-creates the resource. In this case, you can modify your original configuration file:
 
 ```shell
 kubectl replace -f https://k8s.io/examples/application/nginx/nginx-deployment.yaml --force
@@ -448,7 +448,7 @@ kubectl scale deployment my-nginx --current-replicas=1 --replicas=3
 deployment.apps/my-nginx scaled
 ```
 
-To update to version 1.16.1, simply change `.spec.template.spec.containers[0].image` from `nginx:1.14.2` to `nginx:1.16.1`, with the kubectl commands we learned above.
+To update to version 1.16.1, change `.spec.template.spec.containers[0].image` from `nginx:1.14.2` to `nginx:1.16.1` using the previous kubectl commands.
 
 ```shell
 kubectl edit deployment/my-nginx

content/en/docs/concepts/configuration/configmap.md

@@ -225,7 +225,7 @@ The kubelet checks whether the mounted ConfigMap is fresh on every periodic sync
 However, the kubelet uses its local cache for getting the current value of the ConfigMap.
 The type of the cache is configurable using the `ConfigMapAndSecretChangeDetectionStrategy` field in
 the [KubeletConfiguration struct](https://github.com/kubernetes/kubernetes/blob/{{< param "docsbranch" >}}/staging/src/k8s.io/kubelet/config/v1beta1/types.go).
-A ConfigMap can be either propagated by watch (default), ttl-based, or simply redirecting
+A ConfigMap can be either propagated by watch (default), ttl-based, or by redirecting
 all requests directly to the API server.
 As a result, the total delay from the moment when the ConfigMap is updated to the moment
 when new keys are projected to the Pod can be as long as the kubelet sync period + cache

content/en/docs/concepts/configuration/secret.md

@@ -669,7 +669,7 @@ The kubelet checks whether the mounted secret is fresh on every periodic sync.
 However, the kubelet uses its local cache for getting the current value of the Secret.
 The type of the cache is configurable using the `ConfigMapAndSecretChangeDetectionStrategy` field in
 the [KubeletConfiguration struct](https://github.com/kubernetes/kubernetes/blob/{{< param "docsbranch" >}}/staging/src/k8s.io/kubelet/config/v1beta1/types.go).
-A Secret can be either propagated by watch (default), ttl-based, or simply redirecting
+A Secret can be either propagated by watch (default), ttl-based, or by redirecting
 all requests directly to the API server.
 As a result, the total delay from the moment when the Secret is updated to the moment
 when new keys are projected to the Pod can be as long as the kubelet sync period + cache

content/en/docs/concepts/extend-kubernetes/api-extension/custom-resources.md

@@ -31,7 +31,7 @@ Once a custom resource is installed, users can create and access its objects usi
 
 ## Custom controllers
 
-On their own, custom resources simply let you store and retrieve structured data.
+On their own, custom resources let you store and retrieve structured data.
 When you combine a custom resource with a *custom controller*, custom resources
 provide a true _declarative API_.
 
@@ -120,7 +120,7 @@ Kubernetes provides two ways to add custom resources to your cluster:
 
 Kubernetes provides these two options to meet the needs of different users, so that neither ease of use nor flexibility is compromised.
 
-Aggregated APIs are subordinate API servers that sit behind the primary API server, which acts as a proxy. This arrangement is called [API Aggregation](/docs/concepts/extend-kubernetes/api-extension/apiserver-aggregation/) (AA). To users, it simply appears that the Kubernetes API is extended.
+Aggregated APIs are subordinate API servers that sit behind the primary API server, which acts as a proxy. This arrangement is called [API Aggregation](/docs/concepts/extend-kubernetes/api-extension/apiserver-aggregation/) (AA). To users, the Kubernetes API appears extended.
 
 CRDs allow users to create new types of resources without adding another API server. You do not need to understand API Aggregation to use CRDs.
 

content/en/docs/concepts/extend-kubernetes/compute-storage-net/network-plugins.md

@@ -24,7 +24,7 @@ Network plugins in Kubernetes come in a few flavors:
 The kubelet has a single default network plugin, and a default network common to the entire cluster. It probes for plugins when it starts up, remembers what it finds, and executes the selected plugin at appropriate times in the pod lifecycle (this is only true for Docker, as CRI manages its own CNI plugins). There are two Kubelet command line parameters to keep in mind when using plugins:
 
 * `cni-bin-dir`: Kubelet probes this directory for plugins on startup
-* `network-plugin`: The network plugin to use from `cni-bin-dir`.  It must match the name reported by a plugin probed from the plugin directory.  For CNI plugins, this is simply "cni".
+* `network-plugin`: The network plugin to use from `cni-bin-dir`.  It must match the name reported by a plugin probed from the plugin directory.  For CNI plugins, this is `cni`.
 
 ## Network Plugin Requirements
 

content/en/docs/concepts/extend-kubernetes/service-catalog.md

@@ -26,7 +26,7 @@ Fortunately, there is a cloud provider that offers message queuing as a managed
 
 A cluster operator can setup Service Catalog and use it to communicate with the cloud provider's service broker to provision an instance of the message queuing service and make it available to the application within the Kubernetes cluster.
 The application developer therefore does not need to be concerned with the implementation details or management of the message queue.
-The application can simply use it as a service.
+The application can access the message queue as a service.
 
 ## Architecture
 

content/en/docs/concepts/overview/working-with-objects/labels.md

@@ -98,7 +98,7 @@ For both equality-based and set-based conditions there is no logical _OR_ (`||`)
 ### _Equality-based_ requirement
 
 _Equality-_ or _inequality-based_ requirements allow filtering by label keys and values. Matching objects must satisfy all of the specified label constraints, though they may have additional labels as well.
-Three kinds of operators are admitted `=`,`==`,`!=`. The first two represent _equality_ (and are simply synonyms), while the latter represents _inequality_. For example:
+Three kinds of operators are admitted `=`,`==`,`!=`. The first two represent _equality_ (and are synonyms), while the latter represents _inequality_. For example:
 
 ```
 environment = production

content/en/docs/concepts/policy/pod-security-policy.md

@@ -197,7 +197,7 @@ alias kubectl-user='kubectl --as=system:serviceaccount:psp-example:fake-user -n
 ### Create a policy and a pod
 
 Define the example PodSecurityPolicy object in a file. This is a policy that
-simply prevents the creation of privileged pods.
+prevents the creation of privileged pods.
 The name of a PodSecurityPolicy object must be a valid
 [DNS subdomain name](/docs/concepts/overview/working-with-objects/names#dns-subdomain-names).
 

content/en/docs/concepts/scheduling-eviction/assign-pod-node.md

@@ -261,7 +261,7 @@ for performance and security reasons, there are some constraints on topologyKey:
 and `preferredDuringSchedulingIgnoredDuringExecution`.
 2. For pod anti-affinity, empty `topologyKey` is also not allowed in both `requiredDuringSchedulingIgnoredDuringExecution`
 and `preferredDuringSchedulingIgnoredDuringExecution`.
-3. For `requiredDuringSchedulingIgnoredDuringExecution` pod anti-affinity, the admission controller `LimitPodHardAntiAffinityTopology` was introduced to limit `topologyKey` to `kubernetes.io/hostname`. If you want to make it available for custom topologies, you may modify the admission controller, or simply disable it.
+3. For `requiredDuringSchedulingIgnoredDuringExecution` pod anti-affinity, the admission controller `LimitPodHardAntiAffinityTopology` was introduced to limit `topologyKey` to `kubernetes.io/hostname`. If you want to make it available for custom topologies, you may modify the admission controller, or disable it.
 4. Except for the above cases, the `topologyKey` can be any legal label-key.
 
 In addition to `labelSelector` and `topologyKey`, you can optionally specify a list `namespaces`

content/en/docs/concepts/scheduling-eviction/scheduler-perf-tuning.md

@@ -107,7 +107,7 @@ value being calculated based on the cluster size. There is also a hardcoded
 minimum value of 50 nodes.
 
 {{< note >}}In clusters with less than 50 feasible nodes, the scheduler still
-checks all the nodes, simply because there are not enough feasible nodes to stop
+checks all the nodes because there are not enough feasible nodes to stop
 the scheduler's search early.
 
 In a small cluster, if you set a low value for `percentageOfNodesToScore`, your