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fix typo (#124)

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Yaron Schneider 2019-10-15 15:10:48 -07:00 committed by GitHub
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howto/autoscale-with-keda/README.md
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@ -15,7 +15,7 @@ For this example, we'll be using Kafka.<br>
You can install Kafka in your cluster by using Helm:
```
# helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
$ helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
$ helm install --name my-kafka incubator/kafka
```
@ -82,4 +82,4 @@ $ kubectl apply -f kafka_scaler.yaml
All done!
You can now start publishing messages to your Kafka topic `myTopic` and watch the pods autoscale when the lag threshold is bigger than `5`, as defined in the KEDA scaler manifest.
You can now start publishing messages to your Kafka topic `myTopic` and watch the pods autoscale when the lag threshold is bigger than `5`, as defined in the KEDA scaler manifest.