ADD KEDA and test it (general case)

k8s/Cluster/KEDA/README.md

+## Deploy KEDA via Helm
+
+Install [Helm3](https://helm.sh/docs/intro/install/) on your local environment
+
+Install KEDA component in the KEDA namespace on kubernetes cluster
+```
+# https://keda.sh/docs/2.6/deploy/#helm
+
+kubectl create ns keda
+
+helm repo add kedacore https://kedacore.github.io/charts
+helm repo update
+helm upgrade --install keda kedacore/keda -n keda
+```
+
+![https://blog.cloudacode.com/how-to-autoscale-kubernetes-pods-based-on-ingress-request-prometheus-keda-and-k6-84ae4250a9f3](img.png)
+

k8s/Cluster/KEDA/hpa-nginx-ingress-requests.yaml

+apiVersion: keda.sh/v1alpha1
+kind: ScaledObject
+metadata:
+  name: v1-ingress-requests
+spec:
+  scaleTargetRef:
+    kind:          Deployment                       # Optional. Default: Deployment
+    name:          ms-demo                          # Mandatory. Must be in the same namespace as the ScaledObject
+  pollingInterval:  5                               # Optional. Default: 30 seconds
+  cooldownPeriod:   15                              # Optional. Default: 300 seconds
+  minReplicaCount:  1                               # Optional. Default: 0
+  maxReplicaCount:  5                               # Optional. Default: 100
+  triggers:
+    - type: prometheus
+      metadata:
+        serverAddress: http://prometheus-service.monitoring.svc:9090
+        metricName: nginx_ingress_controller_nginx_process_requests_total
+        threshold: '5'
+        query: sum(rate(nginx_ingress_controller_requests{path="/fib"}[2m]))
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