Flagger Set Up

Install App Mesh Prometheus Helm Chart

helm upgrade -i appmesh-prometheus eks/appmesh-prometheus \
	--namespace appmesh-system \
	--set serviceAccount.create=false \
	--set serviceAccount.name=appmesh-controller


Release "appmesh-prometheus" does not exist. Installing it now.
NAME: appmesh-prometheus
LAST DEPLOYED: Sat Mar 13 20:59:29 2021
NAMESPACE: appmesh-system
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
AWS App Mesh Prometheus installed!

Install Flagger

Add Flagger Helm repository:

helm repo add flagger https://flagger.app


"flagger" has been added to your repositories

Install Flagger’s Canary CRD:

kubectl apply -f https://raw.githubusercontent.com/weaveworks/flagger/master/artifacts/flagger/crd.yaml


customresourcedefinition.apiextensions.k8s.io/canaries.flagger.app created
customresourcedefinition.apiextensions.k8s.io/metrictemplates.flagger.app created
customresourcedefinition.apiextensions.k8s.io/alertproviders.flagger.app created

Deploy Flagger in the appmesh-system namespace:

helm upgrade -i flagger flagger/flagger \
    --namespace=appmesh-system \
 	--set crd.create=false \
    --set meshProvider=appmesh:v1beta2 \
    --set metricsServer=http://appmesh-prometheus:9090 \
    --set serviceAccount.create=false \
    --set serviceAccount.name=appmesh-controller

    
Release "flagger" does not exist. Installing it now.
NAME: flagger
LAST DEPLOYED: Mon Dec 14 15:23:32 2020
NAMESPACE: appmesh-system
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
Flagger installed

Set up the horizontol pod autoscaler

Install the Horizontal Pod Autoscaler (HPA) metrics provider:

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.4.1/components.yaml


serviceaccount/metrics-server created
clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created
clusterrole.rbac.authorization.k8s.io/system:metrics-server created
rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created
clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created
clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created
service/metrics-server created
deployment.apps/metrics-server created
apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created

After a minute, the metrics API should report CPU and memory usage for pods. You can verify status of the metrics API:

kubectl get apiservice v1beta1.metrics.k8s.io -o json | jq '.status'



{
  "conditions": [
    {
      "lastTransitionTime": "2021-04-21T07:21:25Z",
      "message": "all checks passed",
      "reason": "Passed",
      "status": "True",
      "type": "Available"
    }
  ]
}

kubectl -n kube-system top pods


NAME                              CPU(cores)   MEMORY(bytes)   
aws-node-g8bhs                    3m           40Mi            
aws-node-rgbnf                    3m           39Mi            
aws-node-wd5f9                    3m           40Mi            
coredns-556765db45-4mvnb          2m           7Mi             
coredns-556765db45-z6hmw          2m           7Mi             
kube-proxy-gr7j8                  1m           8Mi             
kube-proxy-jnjmd                  1m           7Mi             
kube-proxy-zsn8g                  1m           8Mi             
metrics-server-866b7d5b74-cvrgm   0m           4Mi