kubectl create ns rtf
Installing Runtime Fabric Using Helm
You can use Helm to install Anypoint Runtime Fabric on an Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Kubernetes Service Anywhere (Amazon EKS-A), Azure Kubernetes Service (AKS), Alibaba Cloud Container Service for Kubernetes (ACK), Google Kubernetes Engine (GKE), Rancher Kubernetes Engine (RKE) or VMware Tanzu Kubernetes Grid installation that you manage.
Steps to Install Runtime Fabric Using Helm
When you use Helm to install Runtime Fabric, you:
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Create a Runtime Fabric using Runtime Manager
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Create the
rtf
namespace for Runtime Fabric -
Create a Docker pull secret for pulling the Runtime Fabric component images
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Optionally, configure additional authorized namespaces
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Add the Runtime Fabric Helm repository
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Download the
values.yml
file and install Runtime Fabric -
Complete install steps
Before you Begin
Before installing Anypoint Runtime Fabric in a Kubernetes environment, ensure that you have:
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Reviewed the architecture and requirements outlined in the Runtime Fabric Overview.
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Installed and configured your Kubernetes environment as follows:
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Running an ACK, AKS, EKS, EKS-A, GKE, RKE, or VMware Tanzu Kubernetes environment. Other Kubernetes environments are not supported.
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Running a supported Kubernetes version.
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Running an ingress controller to send external requests to applications.
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Installed Helm 3 or later and have privileged user permissions.
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Create a Runtime Fabric Using Runtime Manager
To install Runtime Fabric with Helm, first create a Runtime Fabric using Runtime Manager. This is required to obtain the activation data that is needed during installation.
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From Anypoint Platform, select Runtime Manager.
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Click Runtime Fabrics.
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Click Create Runtime Fabric.
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Enter the name of the new Runtime Fabric, then select one of the following options:
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Amazon Elastic Kubernetes Service
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Azure Kubernetes Service
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Google Kubernetes Engine
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Review the Support responsibility disclaimer, and if you agree, click Accept.
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Click Helm.
When creating the Runtime Fabric, the business unit you choose is set as the owner business unit. This business unit is referenced in usage reports for reporting allocated cluster capacity. Ensure that you select the correct business unit during installation.
The remaining steps in the Helm-install process reference placeholder values. You can retrieve the actual values from Runtime Manager when you create the Runtime Fabric instance. |
Create A Namespace for Runtime Fabric
You must create a namespace named rtf
in your Kubernetes cluster. This namespace is where you install Runtime Fabric components.
To create the namespace, run:
Using rtf
as a namespace applies only in the case of single cluster or single instance.
Create A Docker Pull Secret
After you create the namespace, create a pull secret so you can retrieve the Docker images needed to install and run Runtime Fabric.
The default registry URL is rtf-runtime-registry.kprod.msap.io
. If you’re using a local registry, specify those values here.
To create the pull secret, run:
kubectl create secret docker-registry <pull_secret> --namespace rtf --docker-server=<docker_registry_url> --docker-username=<docker_registry_username> --docker-password=<docker_ registry_password>
Add the Runtime Fabric Helm Repository
You need to add the Runtime Fabric Helm repo to the namespace you created. The Runtime Fabric Helm repo contains the chart needed to install Runtime Fabric.
To add the Helm repo, run:
helm repo add <name> <helm_repo_url> --username <your_username> --password <your_password>
If you already added the Helm repo, and you get a result that Runtime Fabric skipped adding the repo, run |
(Optional) Configure Authorized Namespaces
You can optionally configure authorized namespaces, which enable you to deploy Runtime Fabric alongside other services in a Kubernetes cluster.
Before You Begin
Before configuring authorized namespaces, note the following:
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You must create the
authorized-namespaces
ConfigMap file before installing Runtime Fabric. Additionally, you must name the ConfigMap,authorized-namespaces
. -
The
rtf:resource-metrics-collector
ClusterRole has cluster-wide permissions toget
andlist
nodes, pods, and namespaces and haswatch
permissions for nodes. The role ClusterRole is defined as follows:apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: rtf:resource-metrics-collector labels: {{- include "labels.standard" . | nindent 4 }} rules: - apiGroups: [""] resources: ["nodes", "pods", "namespaces"] verbs: ["list", "get"] - apiGroups: [""] resources: ["nodes"] verbs: ["watch"]
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In your cluster, create an additional namespace for application deployments, and add the necessary labels to the namespace. To do so, create a YAML file with the following contents:
apiVersion: v1 kind: Namespace metadata: name: <namespace> labels: rtf.mulesoft.com/agentNamespace: <rtf_namespace> rtf.mulesoft.com/envId: <environment_id> rtf.mulesoft.com/org: <org_id> rtf.mulesoft.com/role: workers
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Apply the file you just created:
kubectl apply -f <filename>.yaml
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Repeat steps 1 and 2 to add as many namespaces as you need.
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Create the RoleBinding for the Runtime Fabric agent ClusterRole that includes the Runtime Fabric agent ServiceAccount. To do so, apply the following configuration in your additional namespace:
kind: RoleBinding apiVersion: rbac.authorization.k8s.io/v1 metadata: name: <name> namespace: <additional_namespace> subjects: - kind: ServiceAccount name: rtf-agent namespace: <rtf_namespace> # If using persistence gateway uncomment and provide the following. Ref: https://docs.mulesoft.com/runtime-fabric/latest/persistence-gateway#persistence-gateway-with-authorized-namespaces # subjects: # - kind: ServiceAccount # name: rtf-persistence-gateway # namespace: <rtf_namespace> roleRef: kind: ClusterRole name: rtf:agent apiGroup: rbac.authorization.k8s.io
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To use clustered apps in authorized namespaces mode, the following RoleBinding must be created:
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: rtf-mule-clusterip-service
namespace: <app_namespace>
subjects:
- kind: ServiceAccount
name: mule-clusterip-service
namespace: <rtf_namespace>
roleRef:
kind: ClusterRole
name: rtf:mule-clusterip-service
apiGroup: rbac.authorization.k8s.io
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In the
rtf
namespace, create a ConfigMap file namedauthorized-namespaces
and list any additional namespaces:apiVersion: v1 kind: ConfigMap metadata: name: authorized-namespaces namespace: <rtf_namespace> data: ADDITIONAL_NAMESPACE_1: "additional-namespace1" ADDITIONAL_NAMESPACE_2: "additional-namespace2"
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If, after fully installing Runtime Fabric, you later add or delete any namespaces from the ConfigMap, you must restart the Runtime Fabric agent pod. To do so, run the following command:
kubectl -nrtf delete po -l app=agent
After you delete the pod, Kubernetes starts a new one.
Install Runtime Fabric
To install Runtime Fabric, use the values.yml
file supplied by Runtime Manager.
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Download the
values.yml
file. -
Add any optional parameters needed.
If you’re using authorized namespaces, set
authorizedNamespaces
totrue
. -
Run the following command:
helm install runtime-fabric rtf/rtf-agent --version <VERSION_FROM_UI> -f values.yaml -n <namespace>
Values.yml Reference
The following is an example values.yml
file.
activationData: <activation_data>
proxy:
http_proxy:
http_no_proxy:
monitoring_proxy:
muleLicense: <mule_license_key>
customLog4jEnabled: false
global:
nodeWatcherEnabled: true
deploymentRateLimitPerSecond: 1
authorizedNamespaces: false
image:
rtfRegistry: rtf-runtime-registry.kqa.msap.io
pullSecretName: rtf-pull-secret
containerLogPaths:
- /var/lib/docker/containers
- /var/log/containers
- /var/log/pods
If you are configuring a Runtime Fabric BYOK with an EU control plane, review the changes in Hostname Configuration for a correct configuration. Specifically, the property rtfRegistry: rtf-runtime-registry.kprod-eu.msap.io .
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Required Parameters
These required values are created and added to values.yml
when you create the Runtime Fabric in Runtime Manager:
Key | Value | Example |
---|---|---|
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Activation data |
YW55cG9pbnQubXVsZXNvZnQuY29tOjBmODdmYzYzLTM3MWUtNDU2Yy1iODg5LTU5NTkyNjYyZjUxZQ== |
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Registry URL |
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Registry secret |
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Mule license for applications |
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Optional Parameters
Set these optional parameters in values.yml
as needed before installing Runtime Fabric.
Key | Value | Example |
---|---|---|
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Enables or disables custom Log4j configurations |
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Enables or disables additional namespaces |
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Enables crds installations |
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Proxy and no_proxy values |
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Anypoint Monitoring proxy values |
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The Filebeat read path |
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Enables or disables node watcher for the cluster |
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Sets the deployment rate limit per second |
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Enable FIPS for Helm managed Runtime Fabrics. |
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Insert the Mule License Key
If you didn’t add the Mule license key during install, you can add it using the rtfctl
command line utility or Helm.
Before you install the license key, encode it to Base64 format.
Encode the License Key
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On MacOS, run the following command:
base64 -b 0 -i <license-file>
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On Unix, run the following command:
base64 -w0 <license-file>
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On Windows, choose one of the following:
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Use a WSL or Cygwin shell that includes the base64 tool and use the above Unix command.
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Use the base64.exe program included with Windows git (C:\Program Files\Git\usr\bin).
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Use the following Powershell command:
$BASE64_ENCODED_LICENSE=[convert]::ToBase64String((Get-Content -path "license.lic" -Encoding byte))
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Apply the License Key Using rtfctl
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On the controller node acting as the leader during installation (the installer node), run the following command:
rtfctl apply mule-license $BASE64_ENCODED_LICENSE
You can also apply the Mule license providing the file path directly:
rtfctl apply mule-license --file /path/to/license.lic
Any value used with rtfcl apply
updates does not work for OpenShift. You have to update the values in the OpenShift console. -
To verify the Mule license key has applied correctly, run:
rtfctl get mule-license
Configure the Ingress Resource Template
If your ingress controller requires custom annotations and ingress class definition, follow the instructions in Defining a Custom Ingress Configuration.
For GKE customers, the ingress controller included with GKE will provision a separate HTTP load balancer per application by default. Please read this KB article for more details. |
Validate Your Runtime Fabric
After completing the installation, your Runtime Fabric should be activated within your Anypoint organization. To validate your installation, go to Anypoint Runtime Manager and confirm that the status of the Runtime Fabric is Active
.
Before deploying an application to your Runtime Fabric:
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Associate the Runtime Fabric with at least one Anypoint environment.
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Review and update the Inbound Traffic settings based upon your Kubernetes environment.
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Deploy an application to verify that Runtime Fabric is installed and configured correctly.
Perform a Rollback
To roll back to a previous version of Runtime Fabric using helm, refer to the Helm rollback documentation for the command description.