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Merge pull request #106424 from jeffhollan/keda-patch
functions: fixing up keda doc
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articles/azure-functions/functions-kubernetes-keda.md

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The Azure Functions service is made up of two key components: a runtime and a scale controller. The Functions runtime runs and executes your code. The runtime includes logic on how to trigger, log, and manage function executions. The Azure Functions runtime can run *anywhere*. The other component is a scale controller. The scale controller monitors the rate of events that are targeting your function, and proactively scales the number of instances running your app. To learn more, see [Azure Functions scale and hosting](functions-scale.md).
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Kubernetes-based Functions provides the Functions runtime in a [Docker container](functions-create-function-linux-custom-image.md) with event-driven scaling through KEDA. KEDA can scale down to 0 instances (when no events are occurring) and up to *n* instances. It does this by exposing custom metrics for the Kubernetes autoscaler (Horizontal Pod Autoscaler). Using Functions containers with KEDA makes it possible to replicate serverless function capabilities in any Kubernetes cluster. These functions can also be deployed using [Azure Kubernetes Services (AKS) virtual nodes](../aks/virtual-nodes-cli.md) feature for serverless infrastructure.
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Kubernetes-based Functions provides the Functions runtime in a [Docker container](functions-create-function-linux-custom-image.md) with event-driven scaling through KEDA. KEDA can scale in to 0 instances (when no events are occurring) and out to *n* instances. It does this by exposing custom metrics for the Kubernetes autoscaler (Horizontal Pod Autoscaler). Using Functions containers with KEDA makes it possible to replicate serverless function capabilities in any Kubernetes cluster. These functions can also be deployed using [Azure Kubernetes Services (AKS) virtual nodes](../aks/virtual-nodes-cli.md) feature for serverless infrastructure.
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## Managing KEDA and functions in Kubernetes
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To build an image and deploy your functions to Kubernetes, run the following command:
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> [!NOTE]
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> The core tools will leverage the docker CLI to build and publish the image. Be sure to have docker installed already and connected to your account with `docker login`.
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> The Core Tools will leverage the docker CLI to build and publish the image. Be sure to have docker installed already and connected to your account with `docker login`.
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```cli
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func kubernetes deploy --name <name-of-function-deployment> --registry <container-registry-username>

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