> For the complete documentation index, see [llms.txt](https://dojo.lkmx.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dojo.lkmx.io/ingles/kubernetes/configure-kubernetes-horizontal-pod-autoscaler.md).

# Configure Kubernetes Horizontal Pod Autoscaler

Enable metrics plugin on Minikube

```bash
minikube addons enable metrics-server
```

Start a deployment and expose it as a service

```bash
kubectl apply -f https://k8s.io/examples/application/php-apache.yaml
```

Create Horizontal Pod Autoscaler

```yaml
kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10 
```

> This command creates an HPA with a minimum of one pod and maximum of ten pods running. It will try to keep the averga usage of the pods at 50% and if there is more usage, it will automatically create more pods to keep the usage at 50%.

To test it, run the following on a different terminal

```
  kubectl run -it --rm load-generator --image=busybox /bin/sh
```

Then, to create the trafic neede for the HPA start working.

```
**while true; do wget -q -O- http://php-apache; done**
```

Back on the first terminal, monitor the HPA with

```
kubectl get hpa -w
```

To have more control over the HPA we can also create it with a mainfest file, the equivalent to the command `kubectl autoscale deployment php-apache --cpu-percent=50 --min=1 --max=10` would be:

```
apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: php-apache
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: php-apache
  minReplicas: 1
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization

```

> HPA can also be configured depending on the cpu usage or requests recieved, it is a good idea save it as a file to keeep record of the configuration for the HPA.

## Reference Links

* <https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/>


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