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docs: spell checking (#434, @jsoref)

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Josh Soref 2021-01-05 02:15:36 -05:00 committed by GitHub
parent 5dedac8cbb
commit e7802d2def
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6 changed files with 9 additions and 9 deletions
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2
docs/usage/guides/calico.md
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@ -34,7 +34,7 @@ For watching for the pod(s) deployment
watch "kubectl get pods -n kube-system" watch "kubectl get pods -n kube-system"
``` ```
You will have something like this at begining (with the command line `kubectl get pods -n kube-system`) You will have something like this at beginning (with the command line `kubectl get pods -n kube-system`)
``` ```
NAME READY STATUS RESTARTS AGE NAME READY STATUS RESTARTS AGE
helm-install-traefik-pn84f 0/1 Pending 0 3s helm-install-traefik-pn84f 0/1 Pending 0 3s

4
docs/usage/guides/calico.yaml
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@ -2092,7 +2092,7 @@ spec:
type: object type: object
ipipMode: ipipMode:
description: Contains configuration for IPIP tunneling for this pool. description: Contains configuration for IPIP tunneling for this pool.
If not specified, then this is defaulted to "Never" (i.e. IPIP tunelling If not specified, then this is defaulted to "Never" (i.e. IPIP tunneling
is disabled). is disabled).
type: string type: string
nat-outgoing: nat-outgoing:
@ -2112,7 +2112,7 @@ spec:
vxlanMode: vxlanMode:
description: Contains configuration for VXLAN tunneling for this pool. description: Contains configuration for VXLAN tunneling for this pool.
If not specified, then this is defaulted to "Never" (i.e. VXLAN If not specified, then this is defaulted to "Never" (i.e. VXLAN
tunelling is disabled). tunneling is disabled).
type: string type: string
required: required:
- cidr - cidr

2
docs/usage/guides/cuda.md
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@ -116,7 +116,7 @@ We need to configure containerd to use the NVIDIA Container Runtime. We need to
``` ```
### The NVIDIA device plugin ### The NVIDIA device plugin
To enable NVIDIA GPU support on Kubernetes you also need to install the [NVIDIA device plugin](https://github.com/NVIDIA/k8s-device-plugin). The device plugin is a deamonset and allows you to automatically: To enable NVIDIA GPU support on Kubernetes you also need to install the [NVIDIA device plugin](https://github.com/NVIDIA/k8s-device-plugin). The device plugin is a daemonset and allows you to automatically:
* Expose the number of GPUs on each nodes of your cluster * Expose the number of GPUs on each nodes of your cluster
* Keep track of the health of your GPUs * Keep track of the health of your GPUs
* Run GPU enabled containers in your Kubernetes cluster. * Run GPU enabled containers in your Kubernetes cluster.

2
mkdocs.yml
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@ -30,7 +30,7 @@ theme:
favicon: static/img/favicons_black_blue/favicon.png favicon: static/img/favicons_black_blue/favicon.png
# Navigation # Navigation
# nav: ommitted, because we're using the awesome-pages plugin (https://squidfunk.github.io/mkdocs-material/plugins/awesome-pages/) # nav: omitted, because we're using the awesome-pages plugin (https://squidfunk.github.io/mkdocs-material/plugins/awesome-pages/)
# Extensions # Extensions
markdown_extensions: markdown_extensions:

6
pkg/cluster/cluster.go
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@ -229,7 +229,7 @@ func ClusterCreate(ctx context.Context, runtime k3drt.Runtime, cluster *k3d.Clus
logreader.Close() logreader.Close()
} }
log.Errorln(err) log.Errorln(err)
log.Errorln("Failed to get logs from the initializig server node.. waiting for 3 seconds instead") log.Errorln("Failed to get logs from the initializing server node.. waiting for 3 seconds instead")
time.Sleep(3 * time.Second) time.Sleep(3 * time.Second)
break break
} }
@ -278,7 +278,7 @@ func ClusterCreate(ctx context.Context, runtime k3drt.Runtime, cluster *k3d.Clus
} }
} }
// asynchronously wait for this server node to be ready (by checking the logs for a specific log mesage) // asynchronously wait for this server node to be ready (by checking the logs for a specific log message)
if node.Role == k3d.ServerRole && cluster.CreateClusterOpts.WaitForServer { if node.Role == k3d.ServerRole && cluster.CreateClusterOpts.WaitForServer {
log.Debugf("Waiting for server node '%s' to get ready", node.Name) log.Debugf("Waiting for server node '%s' to get ready", node.Name)
if err := NodeWaitForLogMessage(clusterCreateCtx, runtime, node, k3d.ReadyLogMessageByRole[k3d.ServerRole], time.Time{}); err != nil { if err := NodeWaitForLogMessage(clusterCreateCtx, runtime, node, k3d.ReadyLogMessageByRole[k3d.ServerRole], time.Time{}); err != nil {
@ -598,7 +598,7 @@ func ClusterStart(ctx context.Context, runtime k3drt.Runtime, cluster *k3d.Clust
continue continue
} }
// asynchronously wait for this server node to be ready (by checking the logs for a specific log mesage) // asynchronously wait for this server node to be ready (by checking the logs for a specific log message)
if node.Role == k3d.ServerRole && startClusterOpts.WaitForServer { if node.Role == k3d.ServerRole && startClusterOpts.WaitForServer {
serverNode := node serverNode := node
waitForServerWaitgroup.Go(func() error { waitForServerWaitgroup.Go(func() error {

2
pkg/tools/tools.go
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@ -46,7 +46,7 @@ func ImageImportIntoClusterMulti(ctx context.Context, runtime runtimes.Runtime,
runtimeImages, err := runtime.GetImages(ctx) runtimeImages, err := runtime.GetImages(ctx)
if err != nil { if err != nil {
log.Errorln("Failed to fetch list of exsiting images from runtime") log.Errorln("Failed to fetch list of existing images from runtime")
return err return err
} }