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Update autoscale-keda.md (#2047)
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Co-authored-by: greenie-msft <56556602+greenie-msft@users.noreply.github.com>
Co-authored-by: Mark Fussell <mfussell@microsoft.com>
Signed-off-by: Antonio Robson de Paula <robson.p@sidi.org.br>
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3 people authored and Antonio Robson de Paula committed Dec 30, 2021
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Expand Up @@ -6,7 +6,7 @@ description: "How to configure your Dapr application to autoscale using KEDA"
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Dapr, with its modular building-block approach, along with the 10+ different [pub/sub components]({{< ref pubsub >}}), make it easy to write message processing applications. Since Dapr can run in many environments (e.g. VM, bare-metal, Cloud, or Edge) the autoscaling of Dapr applications is managed by the hosting later.
Dapr, with its modular building-block approach, along with the 10+ different [pub/sub components]({{< ref pubsub >}}), make it easy to write message processing applications. Since Dapr can run in many environments (e.g. VM, bare-metal, Cloud, or Edge) the autoscaling of Dapr applications is managed by the hosting layer.

For Kubernetes, Dapr integrates with [KEDA](https://github.com/kedacore/keda), an event driven autoscaler for Kubernetes. Many of Dapr's pub/sub components overlap with the scalers provided by [KEDA](https://github.com/kedacore/keda) so it's easy to configure your Dapr deployment on Kubernetes to autoscale based on the back pressure using KEDA.

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