appmesh-controller

App Mesh Controller

⚠️ This controller is published in multiple repos: Contributions to this Helm chart must be written to aws/aws-app-mesh-controller-for-k8s Github repo. PRs to other repos like aws/eks-charts may be closed or overwritten upon next controller release.

App Mesh controller Helm chart for Kubernetes

Note: If you wish to use App Mesh preview features, please refer to our preview version instructions.

Prerequisites

• Kubernetes >= 1.14
• IAM permissions (see below)

Installing the Chart

Note: AppMesh controller v1.0.0+ is backwards incompatible with old versions(e.g. v0.5.0). If you're running an older version of App Mesh controller, please go to the upgrade section below before you proceed. If you are unsure, please run the appmesh-controller/upgrade/pre_upgrade_check.sh script to check if your cluster can be upgraded

Add the EKS repository to Helm:

helm repo add eks https://aws.github.io/eks-charts

Install the App Mesh CRDs:

kubectl apply -k "github.com/aws/eks-charts/stable/appmesh-controller//crds?ref=master"

Create namespace

kubectl create ns appmesh-system

The controller runs on the worker nodes, so it needs access to the AWS App Mesh / Cloud Map resources via IAM permissions. The IAM permissions can either be setup via IAM roles for service account or can be attached directly to the worker node IAM roles.

Setup IAM Role for Service Account

export CLUSTER_NAME=<eks-cluster-name>
export AWS_REGION=<aws-region e.g. us-east-1>
export AWS_ACCOUNT_ID=<AWS account ID>

Enable IAM OIDC provider

eksctl utils associate-iam-oidc-provider --region=$AWS_REGION \
    --cluster=$CLUSTER_NAME \
    --approve

Download the IAM policy for AWS App Mesh Kubernetes Controller

curl -o controller-iam-policy.json https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/controller-iam-policy.json

Create an IAM policy called AWSAppMeshK8sControllerIAMPolicy

aws iam create-policy \
    --policy-name AWSAppMeshK8sControllerIAMPolicy \
    --policy-document file://controller-iam-policy.json

Take note of the policy ARN that is returned

Create an IAM role for service account for the App Mesh Kubernetes controller, use the ARN from the step above

Note: if you deleted serviceaccount in the appmesh-system namespace, you will need to delete and re-create iamserviceaccount. eksctl does not override the iamserviceaccount correctly (see this issue)

eksctl create iamserviceaccount --cluster $CLUSTER_NAME \
    --namespace appmesh-system \
    --name appmesh-controller \
    --attach-policy-arn arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSAppMeshK8sControllerIAMPolicy  \
    --override-existing-serviceaccounts \
    --approve

Deploy appmesh-controller

Note: To enable mTLS via SDS(SPIRE), please set "sds.enabled=true".

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

The configuration section lists the parameters that can be configured during installation.

Note Make sure that the Envoy proxies have the following IAM policies attached for the Envoy to authenticate with AWS App Mesh and fetch it's configuration

• https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/envoy-iam-policy.json

There are 2 ways you can attach the above policy to the Envoy Pod

With IRSA

Download the Envoy IAM policy

curl -o envoy-iam-policy.json https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/envoy-iam-policy.json

Create an IAM policy called AWSAppMeshEnvoyIAMPolicy

aws iam create-policy \
    --policy-name AWSAppMeshEnvoyIAMPolicy \
    --policy-document file://envoy-iam-policy.json

Take note of the policy ARN that is returned

If your Mesh enabled applications are already using IRSA then you can attach the above policy to the role belonging to the existing IRSA or you can edit the Trust Relationship of the existing iam role which has this envoy policy so that some other service account in your mesh can also assume this role.

If not then you can create a service account for your application namespace and use the ARN from the step above. Ensure that Application Namespace already exists

eksctl create iamserviceaccount --cluster $CLUSTER_NAME \
    --namespace <ApplicationNamespaceName to which Envoy gets Injected> \
    --name envoy-proxy \
    --attach-policy-arn arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSAppMeshEnvoyIAMPolicy  \
    --override-existing-serviceaccounts \
    --approve

Reference this Service Account in your application pod spec. This should be the pod which would get injected with the Envoy. Refer below example:

https://github.com/aws/aws-app-mesh-examples/blob/5a2d04227593d292d52e5e2ca638d808ebed5e70/walkthroughs/howto-k8s-fargate/v1beta2/manifest.yaml.template#L220

Without IRSA

Find the Node Instance IAM Role from your worker nodes and attach below policies to it. Note If you created service account for the controller as indicated above then you can skip attaching the Controller IAM policy to worker nodes. Instead attach only the Envoy IAM policy.

Controller IAM policy

• https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/controller-iam-policy.json Use below command to download the policy if not already

curl -o controller-iam-policy.json https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/controller-iam-policy.json

Envoy IAM policy Attach the below envoy policy to your Worker Nodes (Node Instance IAM Role)

• https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/envoy-iam-policy.json
  Use below command to download the policy if not already

curl -o envoy-iam-policy.json https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/envoy-iam-policy.json

Apply the IAM policy directly to the worker nodes by replacing the <NODE_INSTANCE_IAM_ROLE_NAME>, <policy-name>, and <policy-filename> in below command:

aws iam put-role-policy --role-name <NODE_INSTANCE_IAM_ROLE_NAME> --policy-name <policy-name> --policy-document file://<policy-filename>

Deploy appmesh-controller

helm upgrade -i appmesh-controller eks/appmesh-controller \
    --namespace appmesh-system

The configuration section lists the parameters that can be configured during installation.

Installation on EKS with Fargate

export CLUSTER_NAME=<eks-cluster-name>
export AWS_REGION=<aws-region e.g. us-east-1>
export AWS_ACCOUNT_ID=<AWS account ID>

Create namespace

kubectl create ns appmesh-system

Setup EKS Fargate profile

eksctl create fargateprofile --cluster $CLUSTER_NAME --namespace appmesh-system

Enable IAM OIDC provider

eksctl utils associate-iam-oidc-provider --region=$AWS_REGION --cluster=$CLUSTER_NAME --approve

Download the IAM policy for AWS App Mesh Kubernetes Controller

curl -o controller-iam-policy.json https://raw.githubusercontent.com/aws/aws-app-mesh-controller-for-k8s/master/config/iam/controller-iam-policy.json

Create an IAM policy called AWSAppMeshK8sControllerIAMPolicy

aws iam create-policy \
    --policy-name AWSAppMeshK8sControllerIAMPolicy \
    --policy-document file://controller-iam-policy.json

Take note of the policy ARN that is returned

Create an IAM role for service account for the App Mesh Kubernetes controller, use the ARN from the step above

Note: if you deleted serviceaccount in the appmesh-system namespace, you will need to delete and re-create iamserviceaccount. eksctl does not override the iamserviceaccount correctly (see this issue)

eksctl create iamserviceaccount --cluster $CLUSTER_NAME \
    --namespace appmesh-system \
    --name appmesh-controller \
    --attach-policy-arn arn:aws:iam::$AWS_ACCOUNT_ID:policy/AWSAppMeshK8sControllerIAMPolicy  \
    --override-existing-serviceaccounts \
    --approve

Deploy appmesh-controller

Note: mTLS via SDS(SPIRE) is not supported on Fargate.

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

Upgrade

This section will assist you in upgrading the appmesh-controller from <=v0.5.0 version to >=v1.0.0 version.

You can either build new CRDs from scratch or migrate existing CRDs to the new schema. Please refer to the documentation here for the new API spec. Also, you can find several examples here with v1beta2 spec to help you get started.

Starting v1.0.0, Mesh resource supports namespaceSelectors, where you can either select namespace based on labels (recommended option) or select all namespaces. To select a namespace in a Mesh, you will need to define namespaceSelector:

apiVersion: appmesh.k8s.aws/v1beta2
kind: Mesh
metadata:
  name: <mesh-name>
spec:
  namespaceSelector:
    matchLabels:
      mesh: <mesh-name> // any string value

Note: If you set namespaceSelector: {}, mesh will select all the namespace in your cluster. Labels on your namespace spec is a no-op when selecting all namespaces.

In the namespace spec, you will need to add a label mesh: <mesh-name>. Here's a sample namespace spec:

apiVersion: v1
kind: Namespace
metadata:
  name: ns
  labels:
    mesh: <mesh-name>
    appmesh.k8s.aws/sidecarInjectorWebhook: enabled

For more examples, please refer to the walkthroughs here. If you don't find an example that fits your use-case, please read the API spec here. If you find an issue in the documentation or the examples, please open an issue and we'll help resolve it.

Upgrade without preserving old App Mesh resources

# Keep old App Mesh controller running, it is responsible to cleanup App Mesh resources in AWS
# Delete all existing App Mesh custom resources (CRs)
kubectl delete virtualservices --all --all-namespaces
kubectl delete virtualnodes --all --all-namespaces
kubectl delete meshes --all --all-namespaces

# Delete all existing App Mesh CRDs
kubectl delete customresourcedefinition/virtualservices.appmesh.k8s.aws
kubectl delete customresourcedefinition/virtualnodes.appmesh.k8s.aws
kubectl delete customresourcedefinition/meshes.appmesh.k8s.aws
# Note: If a CRD stuck in deletion, it means there still exists some App Mesh custom resources, please check and delete them.

# Delete App Mesh controller
helm delete appmesh-controller -n appmesh-system

# Delete App Mesh injector
helm delete appmesh-inject -n appmesh-system

Run the appmesh-controller/upgrade/pre_upgrade_check.sh script and make sure it passes before you proceed

Now you can proceed with the installation steps described above

Upgrade preserving old App Mesh resources

# Save manifests of all existing App Mesh custom resources
kubectl get virtualservices --all-namespaces -o yaml > virtualservices.yaml
kubectl get virtualnodes --all-namespaces -o yaml > virtualnodes.yaml
kubectl get meshes --all-namespaces -o yaml > meshes.yaml

# Delete App Mesh controller, so it won’t clean up App Mesh resources in AWS while we deleting App Mesh CRs later.
helm delete appmesh-controller -n appmesh-system

# Delete App Mesh injector.
helm delete appmesh-inject -n appmesh-system

# Remove finalizers from all existing App Mesh CRs. Otherwise, you won’t be able to delete them

# To remove the finalizers, you could kubectl edit resource, and delete the finalizers attribute from the spec or run the following command to override finalizers. e.g for virtualnodes
# kubectl get virtualnodes --all-namespaces -o=jsonpath='{range .items[*]}{.metadata.namespace}{"\t"}{.metadata.name}{"\n"}{end}' | xargs -n2 sh -c 'kubectl patch virtualnode/$1 -n $0 -p '\''{"metadata":{"finalizers":null}}'\'' --type=merge'

# Alternatively, you could modify one resource at a time using
# kubectl get <RESOURCE_TYPE> <RESOURCE_NAME> -n <NAMESPACE> -o=json | jq '.metadata.finalizers = null' | kubectl apply -f -

# Delete all existing App Mesh CRs:
kubectl delete virtualservices --all --all-namespaces
kubectl delete virtualnodes --all --all-namespaces
kubectl delete meshes --all --all-namespaces

# Delete all existing App Mesh CRDs.
kubectl delete customresourcedefinition/virtualservices.appmesh.k8s.aws
kubectl delete customresourcedefinition/virtualnodes.appmesh.k8s.aws
kubectl delete customresourcedefinition/meshes.appmesh.k8s.aws
# Note: If CRDs are stuck in deletion, it means there still exists some App Mesh CRs, please check and delete them.

Run the appmesh-controller/upgrade/pre_upgrade_check.sh script and make sure it passes before you proceed

Translate the saved old YAML manifests using v1beta1 App Mesh CRD into v1beta2 App Mesh CRD format. Please refer to CRD types ( https://github.com/aws/aws-app-mesh-controller-for-k8s/tree/master/config/crd/bases) and Go types (https://github.com/aws/aws-app-mesh-controller-for-k8s/tree/master/apis/appmesh/v1beta2) for the CRD Documentation. Samples applications are in the repo https://github.com/aws/aws-app-mesh-examples for reference.

Note: Please specify the current appmesh resource names in the awsName field of the translated specs.

Install the appmesh-controller, label the namespace with values that mesh is selecting on and apply the translated manifest

Upgrade from prior script installation

If you've installed the App Mesh controllers with scripts, you can remove the controllers with the steps below.

# remove injector objects
kubectl delete ns appmesh-inject
kubectl delete ClusterRoleBinding aws-app-mesh-inject-binding
kubectl delete ClusterRole aws-app-mesh-inject-cr
kubectl delete  MutatingWebhookConfiguration aws-app-mesh-inject

# remove controller objects
kubectl delete ns appmesh-system
kubectl delete ClusterRoleBinding app-mesh-controller-binding
kubectl delete ClusterRole app-mesh-controller

Run the appmesh-controller/upgrade/pre_upgrade_check.sh script and make sure it passes before you proceed

For handling the existing custom resources and the CRDs please refer to either of the previous upgrade sections as relevant.

Uninstalling the Chart

To uninstall/delete the appmesh-controller deployment:

$ helm delete appmesh-controller -n appmesh-system

The command removes all the Kubernetes components associated with the chart and deletes the release.

Configuration

The following tables lists the configurable parameters of the chart and their default values.

Parameter	Description	Default
image.repository	image repository	602401143452.dkr.ecr.us-west-2.amazonaws.com/amazon/appmesh-controller
image.tag	image tag	<VERSION>
image.pullPolicy	image pull policy	IfNotPresent
log.level	controller log level, possible values are info and debug	info
sds.enabled	If true, SDS will be enabled in Envoy	false
sds.udsPath	Unix Domain Socket Path of the SDS Provider(SPIRE in the current release)	/run/spire/sockets/agent.sock
resources.requests/cpu	pod CPU request	100m
resources.requests/memory	pod memory request	64Mi
resources.limits/cpu	pod CPU limit	2000m
resources.limits/memory	pod memory limit	1Gi
affinity	node/pod affinities	None
nodeSelector	node labels for pod assignment	{}
podAnnotations	annotations to add to each pod	{}
podLabels	labels to add to each pod	{}
tolerations	list of node taints to tolerate	[]
rbac.create	if true, create and use RBAC resources	true
rbac.pspEnabled	If true, create and use a restricted pod security policy	false
serviceAccount.annotations	optional annotations to add to service account	{}
serviceAccount.create	If true, create a new service account	true
serviceAccount.name	Service account to be used	None
sidecar.image.repository	Envoy image repository. If you override with non-Amazon built Envoy image, you will need to test/ensure it works with the App Mesh	840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-envoy
sidecar.image.tag	Envoy image tag	<VERSION>
sidecar.logLevel	Envoy log level	info
sidecar.envoyAdminAccessPort	Envoy Admin Access Port	9901
sidecar.envoyAdminAccessLogFile	Envoy Admin Access Log File	/tmp/envoy_admin_access.log
sidecar.resources.requests	Envoy container resource requests	requests: cpu 10m memory 32Mi
sidecar.resources.limits	Envoy container resource limits	limits: cpu "" memory ""
sidecar.lifecycleHooks.preStopDelay	Envoy container PreStop Hook Delay Value	20s
sidecar.probes.readinessProbeInitialDelay	Envoy container Readiness Probe Initial Delay	1s
sidecar.probes.readinessProbePeriod	Envoy container Readiness Probe Period	10s
init.image.repository	Route manager image repository	840364872350.dkr.ecr.us-west-2.amazonaws.com/aws-appmesh-proxy-route-manager
init.image.tag	Route manager image tag	<VERSION>
stats.tagsEnabled	If true, Envoy should include app-mesh tags	false
stats.statsdEnabled	If true, Envoy should publish stats to statsd endpoint @ 127.0.0.1:8125	false
stats.statsdAddress	DogStatsD daemon IP address. This will be overridden if stats.statsdSocketPath is specified	127.0.0.1
stats.statsdPort	DogStatsD daemon port. This will be overridden if stats.statsdSocketPath is specified	8125
stats.statsdSocketPath	DogStatsD Unix domain socket path. If statsd is enabled but this value is not specified then we will use combination of statsAddress:statsPort as the default	None
cloudMapCustomHealthCheck.enabled	If true, CustomHealthCheck will be enabled for CloudMap Services	false
cloudMapDNS.ttl	Sets CloudMap DNS TTL. Will set value for new CloudMap services, but will not update existing CloudMap services. Existing CloudMap services can be updated using the AWS CloudMap API	300
tracing.enabled	If true, Envoy will be configured with tracing	false
tracing.provider	The tracing provider can be x-ray, jaeger or datadog	x-ray
tracing.address	Jaeger or Datadog agent server address (ignored for X-Ray)	appmesh-jaeger.appmesh-system
tracing.port	Jaeger or Datadog agent port (ignored for X-Ray)	9411
tracing.samplingRate	X-Ray tracer sampling rate. Value can be a decimal number between 0 and 1.00 (100%)	0.05
tracing.logLevel	X-Ray agent log level, from most verbose to least: dev, debug, info, prod(default), warn, error.	prod
tracing.role	X-Ray agent assume the specified IAM role to upload segments to a different account	None
enableCertManager	Enable Cert-Manager	false
xray.image.repository	X-Ray image repository	public.ecr.aws/xray/aws-xray-daemon
xray.image.tag	X-Ray image tag	latest
accountId	AWS Account ID for the Kubernetes cluster	None
env	environment variables to be injected into the appmesh-controller pod	{}
livenessProbe	Liveness probe settings for the controller	(see values.yaml)
podDisruptionBudget	PodDisruptionBudget	{}