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actualizada la demo de KEDA
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‎04-cloud/00-aks/01-brigde-to-kubernetes/01-brigde-to-kubernetes.sh

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#https://docs.microsoft.com/en-us/visualstudio/containers/bridge-to-kubernetes?view=vs-2019
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#https://docs.microsoft.com/en-us/visualstudio/containers/overview-bridge-to-kubernetes?view=vs-2019
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# https://marketplace.visualstudio.com/items?itemName=mindaro.mindaro
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#Variables
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RESOURCE_GROUP="Bridge-To-Kubernetes"
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AKS_NAME="lemoncode-dev"

‎04-cloud/00-aks/02-cluster-autoscaler/cluster-autoscaler.sh

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#Si comprobamos pasados unos minutos verás que los pods han sido alocados en nuevos nodos
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kubectl get po -o wide --watch
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#Configurar el perfil del autoescalado: https://docs.microsoft.com/es-es/azure/aks/cluster-autoscaler#using-the-autoscaler-profile
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#Si eliminamos el grupo de recursos eliminaremos el clúster
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az group delete -n ${RESOURCE_GROUP} --yes --no-wait

‎04-cloud/00-aks/04-keda/03-keda.sh

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# https://www.returngis.net/2020/06/autoescalar-tus-aplicaciones-en-kubernetes-con-keda/
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#Para entender KEDA primero necesitas saber cómo autoescalan los pods dentro de un clúster
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### Ejemplo de autoescalado sin KEDA
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#Autoescalar tus aplicaciones en Kubernetes: https://www.returngis.net/2020/05/autoescalar-tus-aplicaciones-en-kubernetes/
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kubectl apply -f 04-cloud/00-aks/04-keda/manifests/autoscale-with-hpa.yml
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kubectl autoscale deployment web --cpu-percent=30 --min=1 --max=5
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kubectl get hpa --watch
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ab -n 50000 -c 200 http://51.104.177.27/
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kubectl describe hpa web
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#KEDA
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# https://www.returngis.net/2020/06/autoescalar-tus-aplicaciones-en-kubernetes-con-keda/
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#Variables
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RESOURCE_GROUP="KEDA"
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AKS_NAME="lemoncode-keda"
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#Instalar Helm
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brew install helm
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#Añadir el repo de KEDA
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helm repo add kedacore https://kedacore.github.io/charts
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helm repo update
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#Creamos el grupo de recursos
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az group create -n ${RESOURCE_GROUP} -l ${LOCATION}
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#Creamos un cluster
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az aks create -g ${RESOURCE_GROUP} -n ${AKS_NAME} \
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--node-count 1 --generate-ssh-keys
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#Configuramos kubectl para comunicarnos con nuestro nuevo clúster
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az aks get-credentials -g ${RESOURCE_GROUP} -n ${AKS_NAME}
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#Creamos un namespace llamado keda
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kubectl create namespace keda
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#Instalamos los componentes dentro del namespace de KEDA
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helm install keda kedacore/keda --namespace keda
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kubectl get pods -n keda --watch
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#Crear un ScaledObject para el deployment
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#Vamos a basar el escalado en los mensajes que haya en una cola de mensajes.
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#Para ello nos apoyamos en un servicio llamado Azure Storage
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#Creamos una cuenta de almacenamiento
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STORAGE_NAME="boxoftasks"
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az storage account create --name $STORAGE_NAME --resource-group $RESOURCE_GROUP
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ACCOUNT_KEY=$(az storage account keys list --resource-group $RESOURCE_GROUP --account-name $STORAGE_NAME --query "[0].value" --output tsv)
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#Creamos una cola dentro de la cuenta de almacenamiento
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az storage queue create --name "tasks" \
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--account-name $STORAGE_NAME \
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--account-key $ACCOUNT_KEY
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#Recuperamos la cadena de conexión
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CONNECTION_STRING=$(az storage account show-connection-string --name $STORAGE_NAME --resource-group $RESOURCE_GROUP -o tsv)
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#La guardamos en un secret de Kubernetes
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kubectl create secret generic storage-secret --from-literal=connection-string=$CONNECTION_STRING
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kubectl apply -f 04-cloud/00-aks/04-keda/manifests/web-deployment.yml
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kubectl get pods --watch
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#Ahora creamos un objeto del tipo ScaledObject, propios de KEDA
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kubectl apply -f 04-cloud/00-aks/04-keda/manifests/scaledObject.yml
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kubectl get scaledobject
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kubectl get hpa -w
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#Para probar esto añadimos un montón de mensajes en la cola de mensajería, para que escale el despliegue
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while true; do az storage message put --content "Hello from KEDA" --queue-name "tasks" --account-name $STORAGE_NAME --account-key $ACCOUNT_KEY; done
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#Ahora probamos lo mismo pero para que desescale
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az storage message clear --queue-name "tasks" --account-name $STORAGE_NAME --account-key $ACCOUNT_KEY
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#En esta página puedes ver todos los scaled object disponibles: https://keda.sh/docs/2.0/scalers/

‎04-cloud/00-aks/04-keda/manifests/autoscale-with-hpa.yml

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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: web
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: aspnet
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template:
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metadata:
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labels:
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app: aspnet
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spec:
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containers:
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- name: web
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image: mcr.microsoft.com/dotnet/core/samples:aspnetapp
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resources:
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requests:
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cpu: "100m"
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ports:
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- containerPort: 80
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: aspnet-svc
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spec:
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type: LoadBalancer
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selector:
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app: aspnet
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ports:
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- protocol: TCP
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port: 80
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targetPort: 80

‎04-cloud/00-aks/04-keda/manifests/scaledObject.yml

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apiVersion: keda.sh/v1alpha1
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kind: TriggerAuthentication
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metadata:
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name: trigger-auth-queue
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spec:
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secretTargetRef:
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- parameter: connection
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name: storage-secret
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key: connection-string
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---
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apiVersion: keda.sh/v1alpha1
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kind: ScaledObject
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metadata:
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name: queue-scaledobject
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labels:
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deploymentName: web-deployment
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spec:
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scaleTargetRef:
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name: web-deployment
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pollingInterval: 15
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minReplicaCount: 0
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maxReplicaCount: 10
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triggers:
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- type: azure-queue
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metadata:
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queueName: tasks
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queueLength: '5' # Optional. Queue length target for HPA. Default: 5 messages
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authenticationRef:
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name: trigger-auth-queue

‎04-cloud/00-aks/04-keda/manifests/web-deployment.yml

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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: web-deployment
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labels:
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app: web
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: web
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template:
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metadata:
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labels:
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app: web
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spec:
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containers:
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- name: nginx
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image: nginx:latest
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ports:
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- name: http
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containerPort: 80

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