Autoscale
AKS autoscale setup and test
Enable AZ CLI preview.
az extension add --name aks-preview
Set your subscription.
az account set --subscription "MY-SUBSCRIPTION"
Create a Resource Group.
az group create \
--location brazilsouth \
--name my-test-autoscale \
--subscription "MY-SUBSCRIPTION"
Create the cluster.
az aks create \
--name my-test-autoscale \
--resource-group my-test-autoscale \
--dns-name-prefix my-test-autoscale \
--dns-service-ip 10.0.0.10 \
--docker-bridge-address 172.17.0.1/16 \
--kubernetes-version 1.14.8 \
--location brazilsouth \
--network-plugin kubenet \
--node-count 3 \
--node-osdisk-size 128 \
--node-vm-size Standard_D4s_v3 \
--pod-cidr 10.244.0.0/16 \
--service-cidr 10.0.0.0/16 \
--subscription "MY-SUBSCRIPTION" \
--enable-cluster-autoscaler \
--max-count 5 \
--min-count 3
Create a few deployments.
for i in {1..3};
do
kubectl run \
resource-consumer-$i \
--image=gcr.io/kubernetes-e2e-test-images/resource-consumer:1.4 \
--expose \
--service-overrides='{ "spec": { "type": "LoadBalancer" } }' --port 8080
done
Scale the deployments.
for i in {1..3};
do
kubectl scale deployment --replicas=200 resource-consumer-$i
done
Get the public IPs.
for i in {1..3};
do
kubectl get services resource-consumer-$i
done
Trigger resource usage.
for i in {1..100};
do
curl --data "millicores=4000&durationSec=3600" http://IP.OF.SERVICE-01:8080/ConsumeCPU;
curl --data "millicores=4000&durationSec=3600" http://IP.OF.SERVICE-02:8080/ConsumeCPU;
curl --data "millicores=4000&durationSec=3600" http://IP.OF.SERVICE-03:8080/ConsumeCPU;
done
Create a Log Analytics Workspace
.
Add Diagnostic Settings on your AKS Resource Group (not the MC_...)
Go to logs and query.
AzureDiagnostics
| where Category == "cluster-autoscaler"
Check out autoscaler configmap.
kubectl get configmap -n kube-system cluster-autoscaler-status -o yaml
Last modified 3yr ago