docs: spell checking (#434, @jsoref)

docs/usage/guides/calico.md

@@ -34,7 +34,7 @@ For watching for the pod(s) deployment
     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
 helm-install-traefik-pn84f                 0/1     Pending    0          3s

docs/usage/guides/calico.yaml

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

docs/usage/guides/cuda.md

@@ -116,7 +116,7 @@ We need to configure containerd to use the NVIDIA Container Runtime. We need to
 ```
 
 ### 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
 * Keep track of the health of your GPUs
 * Run GPU enabled containers in your Kubernetes cluster.

mkdocs.yml

@@ -30,7 +30,7 @@ theme:
   favicon: static/img/favicons_black_blue/favicon.png  
 
 # 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
 markdown_extensions:

pkg/cluster/cluster.go

@@ -229,7 +229,7 @@ func ClusterCreate(ctx context.Context, runtime k3drt.Runtime, cluster *k3d.Clus
 					logreader.Close()
 				}
 				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)
 				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 {
 			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 {
@@ -598,7 +598,7 @@ func ClusterStart(ctx context.Context, runtime k3drt.Runtime, cluster *k3d.Clust
 				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 {
 				serverNode := node
 				waitForServerWaitgroup.Go(func() error {

pkg/tools/tools.go

@@ -46,7 +46,7 @@ func ImageImportIntoClusterMulti(ctx context.Context, runtime runtimes.Runtime,
 
 	runtimeImages, err := runtime.GetImages(ctx)
 	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
 	}