Flagger Install on EKS App Mesh

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This guide walks you through setting up Flagger and AWS App Mesh on EKS.
App Mesh
The App Mesh integration with EKS is made out of the following components:
Kubernetes custom resources
mesh.appmesh.k8s.aws defines a logical boundary for network traffic between the services 
virtualnode.appmesh.k8s.aws defines a logical pointer to a Kubernetes workload
virtualservice.appmesh.k8s.aws defines the routing rules for a workload inside the mesh
CRD controller - keeps the custom resources in sync with the App Mesh control plane
Admission controller - injects the Envoy sidecar and assigns Kubernetes pods to App Mesh virtual nodes
Telemetry service - Prometheus instance that collects and stores Envoy's metrics
Create a Kubernetes cluster
In order to create an EKS cluster you can use eksctl. Eksctl is an open source command-line utility made by Weaveworks in collaboration with Amazon.
On MacOS you can install eksctl with Homebrew:
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brew tap weaveworks/tap
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brew install weaveworks/tap/eksctl
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Create an EKS cluster with:
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eksctl create cluster --name=appmesh \
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--region=us-west-2 \
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--nodes 3 \
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--node-volume-size=120 \
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--appmesh-access
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The above command will create a two nodes cluster with App Mesh IAM policy attached to the EKS node instance role.
Verify the install with:
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kubectl get nodes
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Install Helm
Install the Helm v3 command-line tool:
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brew install helm
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Add the EKS repository to Helm:
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helm repo add eks https://aws.github.io/eks-charts
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Enable horizontal pod auto-scaling
Install the Horizontal Pod Autoscaler (HPA) metrics provider:
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helm upgrade -i metrics-server stable/metrics-server \
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--namespace kube-system \
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--set args[0]=--kubelet-preferred-address-types=InternalIP
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After a minute, the metrics API should report CPU and memory usage for pods. You can very the metrics API with:
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kubectl -n kube-system top pods
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Install the App Mesh components
Install the App Mesh CRDs:
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kubectl apply -k github.com/aws/eks-charts/stable/appmesh-controller//crds?ref=master
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Create the appmesh-system namespace:
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kubectl create ns appmesh-system
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Install the App Mesh controller:
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helm upgrade -i appmesh-controller eks/appmesh-controller \
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--wait --namespace appmesh-system
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In order to collect the App Mesh metrics that Flagger needs to run the canary analysis, you'll need to setup a Prometheus instance to scrape the Envoy sidecars.
Install the App Mesh Prometheus:
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helm upgrade -i appmesh-prometheus eks/appmesh-prometheus \
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--wait --namespace appmesh-system
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Install Flagger
Add Flagger Helm repository:
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helm repo add flagger https://flagger.app
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Install Flagger's Canary CRD:
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kubectl apply -f https://raw.githubusercontent.com/fluxcd/flagger/main/artifacts/flagger/crd.yaml
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Deploy Flagger in the appmesh-system namespace:
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helm upgrade -i flagger flagger/flagger \
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--namespace=appmesh-system \
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--set crd.create=false \
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--set meshProvider=appmesh:v1beta2 \
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--set metricsServer=http://appmesh-prometheus:9090
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Install Grafana
Deploy App Mesh Grafana that comes with a dashboard for monitoring Flagger's canary releases:
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helm upgrade -i appmesh-grafana eks/appmesh-grafana \
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--namespace appmesh-system
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You can access Grafana using port forwarding:
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kubectl -n appmesh-system port-forward svc/appmesh-grafana 3000:3000
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Now that you have Flagger running, you can try the App Mesh canary deployments tutorial.
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Contents
App Mesh
Create a Kubernetes cluster
Install Helm
Enable horizontal pod auto-scaling
Install the App Mesh components
Install Flagger
Install Grafana