Merge pull request #185389 from ggailey777/patch-6

Remove the rest of deprecated `func deploy` info

Author: PRMerger-2

articles/azure-functions/functions-deployment-technologies.md

@@ -127,7 +127,7 @@ You can deploy a Linux container image that contains your function app.
 >* Create a Linux function app on an Azure App Service plan in the Azure portal. For **Publish**, select **Docker Image**, and then configure the container. Enter the location where the image is hosted.
 >* Create a Linux function app on an App Service plan by using the Azure CLI. To learn how, see [Create a function on Linux by using a custom image](functions-create-function-linux-custom-image.md#create-supporting-azure-resources-for-your-function).
 >
->To deploy to an existing app by using a custom container, in [Azure Functions Core Tools](functions-run-local.md), use the [`func deploy`](functions-run-local.md#publish) command.
+>To deploy to a Kubernetes cluster as a custom container, in [Azure Functions Core Tools](functions-run-local.md), use the [`func kubernetes deploy`](functions-core-tools-reference.md#func-kubernetes-deploy) command.
 
 >__When to use it:__ Use the Docker container option when you need more control over the Linux environment where your function app runs. This deployment mechanism is available only for Functions running on Linux.
 

articles/azure-functions/functions-run-local.md

@@ -538,34 +538,18 @@ The following considerations apply to this kind of deployment:
 
 ### Kubernetes cluster
 
-Functions also lets you define your Functions project to run in a Docker container. Use the [`--docker` option][func init] of `func init` to generate a Dockerfile for your specific language. This file is then used when creating a container to deploy. 
+Functions also lets you define your Functions project to run in a Docker container. Use the [`--docker` option][func init] of `func init` to generate a Dockerfile for your specific language. This file is then used when creating a container to deploy. To learn how to publish a custom container to Azure without Kubernetes, see [Create a function on Linux using a custom container](functions-create-function-linux-custom-image.md).
 
-Core Tools can be used to deploy your project as a custom container image to a Kubernetes cluster. The command you use depends on the type of scaler used in the cluster.  
+Core Tools can be used to deploy your project as a custom container image to a Kubernetes cluster. 
 
 The following command uses the Dockerfile to generate a container and deploy it to a Kubernetes cluster. 
 
-# [KEDA](#tab/keda)
-
 ```command
 func kubernetes deploy --name <DEPLOYMENT_NAME> --registry <REGISTRY_USERNAME> 
 ```
 
 To learn more, see [Deploying a function app to Kubernetes](functions-kubernetes-keda.md#deploying-a-function-app-to-kubernetes). 
 
-# [Default/KNative](#tab/default)
-
-```command
-func deploy --name <FUNCTION_APP> --platform kubernetes --registry <REGISTRY_USERNAME> 
-```
-
-In the example above, replace `<FUNCTION_APP>` with the name of the function app in Azure and `<REGISTRY_USERNAME>` with your registry account name, such as you Docker username. The container is built locally and pushed to your Docker registry account with an image name based on `<FUNCTION_APP>`. You must have the Docker command line tools installed.
-
-To learn more, see the [`func deploy` command](functions-core-tools-reference.md#func-deploy).
-
----
-
-To learn how to publish a custom container to Azure without Kubernetes, see [Create a function on Linux using a custom container](functions-create-function-linux-custom-image.md).
-
 ## Monitoring functions
 
 The recommended way to monitor the execution of your functions is by integrating with Azure Application Insights. You can also stream execution logs to your local computer. To learn more, see [Monitor Azure Functions](functions-monitoring.md).