fix spelling errors in doc repo (#10434)
* fix spelling errors in content/en/docs/concepts/containers/ Signed-off-by: William Zhang <warmchang@outlook.com> * fix spelling errors in HPA, StatefulSet, SA Signed-off-by: William Zhang <warmchang@outlook.com>pull/10744/head
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@ -49,7 +49,7 @@ These commands rely on and are implemented purely on the Docker CLI. You will ne
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If you run into trouble with uploading stale manifests, just clean up the older manifests in `$HOME/.docker/manifests` to start fresh.
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For Kubernetes, we have typically used images with suffix `-$(ARCH)`. For backward compatability, please generate the older images with suffixes. The idea is to generate say `pause` image which has the manifest for all the arch(es) and say `pause-amd64` which is backwards compatible for older configurations or YAML files which may have hard coded the images with suffixes.
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For Kubernetes, we have typically used images with suffix `-$(ARCH)`. For backward compatibility, please generate the older images with suffixes. The idea is to generate say `pause` image which has the manifest for all the arch(es) and say `pause-amd64` which is backwards compatible for older configurations or YAML files which may have hard coded the images with suffixes.
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## Using a Private Registry
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@ -295,7 +295,7 @@ spec:
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```
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The kubelet will request and store the token on behalf of the pod, make the
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token avaialble to the pod at a configurable file path, and refresh the token as
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token available to the pod at a configurable file path, and refresh the token as
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it approaches expiration. Kubelet proactively rotates the token if it is older
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than 80% of its total TTL, or if the token is older than 24 hours.
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@ -161,7 +161,7 @@ from the metrics APIs), scaling is skipped.
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Finally, just before HPA scales the target, the scale reccomendation is recorded. The
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controller considers all recommendations within a configurable window choosing the
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highest recommendation from within that window. This value can be configured using the `--horizontal-pod-autoscaler-downscale-stabilization-window` flag, which defaults to 5 minutes.
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highest recommendation from within that window. This value can be configured using the `--horizontal-pod-autoscaler-downscale-stabilization-window` flag, which defaults to 5 minutes.
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This means that scaledowns will occur gradually, smoothing out the impact of rapidly
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fluctuating metric values.
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