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remove deploy section and instead link to where we show how to deploy
Signed-off-by: Hannah Hunter <[email protected]>
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articles/azure-functions/durable-task-scheduler/quickstart-portable-durable-task-sdks.md

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@@ -683,68 +683,7 @@ logger.info("Output: {}", completedInstance.readOutputAs(int.class));
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::: zone-end
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::: zone pivot="csharp,python,java"
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## Deploy to Azure
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Now that you've run the sample locally, you can choose to deploy to Azure for a production scenario. You can deploy for any compute, including Azure container Apps, Azure Kubernetes Service, Azure App Service, and Virtual Machines.
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[Make sure you're aware of related costs with creating scheduler and task hub resources.](./durable-task-scheduler-dedicated-sku.md)
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1. In a new terminal, install or upgrade the Durable Task Scheduler CLI extension.
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```azurecli
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az extension add --name durabletask
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```
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```azurecli
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az extension add --upgrade --name durabletask
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```
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1. Create a resource group
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```azurecli
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az group create --name <rg-name> --location <location>
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```
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1. Create a scheduler.
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```azurecli
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az durabletask scheduler create --resource-group <rg-name> --name <scheduler-name> --location <location> --ip-allowlist "[0.0.0.0/0]" --sku-capacity 1 --sku-name "Dedicated" --tags "{'myattribute':'myvalue'}"
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```
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1. Create your task hub.
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```azurecli
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az durabletask taskhub create --resource-group <rg-name> --scheduler-name <scheduler-name> --name <taskhub-name>
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```
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1. Navigate to your scheduler resource in the Azure portal.
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1. In the overview page, under **Essentials**, copy the scheduler's endpoint.
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1. In the terminal, set the environment variables for the task hub and the endpoint.
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# [Bash](#tab/bash)
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```bash
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export TASKHUB=<taskhubname>
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export ENDPOINT=<taskhubEndpoint>
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```
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# [PowerShell](#tab/powershell)
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```powershell
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$env:TASKHUB = "<taskhubname>"
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$env:ENDPOINT = "<taskhubEndpoint>"
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```
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---
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1. [Run the sample following the steps from earlier.](#run-the-quickstart)
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::: zone-end
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## Next steps
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> [!div class="nextstepaction"]
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> [Deploy to Azure](./develop-with-durable-task-scheduler.md)

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