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Merge pull request #24479 from alexbouchardd/patch-1
Update using-webhooks-with-github-apps.md to replace offline "Smee"
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content/apps/creating-github-apps/creating-github-apps/using-webhooks-with-github-apps.md

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### Choosing a webhook URL for development and testing
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While you develop and test your app, you can use a webhook payload delivery service like [Smee](https://smee.io/) to capture and forward webhook payloads to your local development environment. Never use Smee for an application in production, because Smee channels are not authenticated or secure. Alternatively, you can use a tool like [ngrok](https://dashboard.ngrok.com/get-started) or [localtunnel](https://localtunnel.github.io/www/) that exposes your local machine to the internet to receive the payloads.
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While you develop and test your app, you can use a webhook payload delivery service like [Smee](https://smee.io/) to capture and forward webhook payloads to your local development environment. Never use Smee for an application in production, because Smee channels are not authenticated or secure. Alternatively, you can use a tool like [ngrok](https://dashboard.ngrok.com/get-started), [localtunnel](https://localtunnel.github.io/www/), or the [Hookdeck Console](https://console.hookdeck.com?provider=github) that exposes your local machine to the internet to receive the payloads.
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#### Creating a webhook URL with Smee
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For an application in production that receives a low volume of webhook traffic, you can host it on any dynamic application server. The server-side code for handling the webhook can receive the event, deserialize its JSON payload, and decide what action to take, such as storing the data in a database or calling the {% data variables.product.prodname_dotcom %} API.
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To handle a higher volume of webhook traffic for a large app in production, consider using asynchronous webhook handling on a dedicated server. You can achieve this by employing a queue, where the webhook handler pushes data to the queue, and separate processes perform subsequent actions based on the events. Additionally, you can use cloud functions such as [Azure Functions](https://azure.microsoft.com/en-us/products/functions/)
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or [AWS Lambda](https://aws.amazon.com/lambda/) to help scale the app for handling large volumes of webhook events.
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To handle a higher volume of webhook traffic for a large app in production, consider using asynchronous webhook handling on a dedicated server. You can achieve this by employing a queue, where the webhook handler pushes data to the queue, and separate processes perform subsequent actions based on the events. Additionally, you can use cloud functions such as [Azure Functions](https://azure.microsoft.com/en-us/products/functions/), [AWS Lambda](https://aws.amazon.com/lambda/), or [Hookdeck](https://hookdeck.com) to help scale the app for handling large volumes of webhook events.
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## Securing your webhooks with a webhook secret
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