Install Gloo Mesh
Use Helm to customize your setup of Gloo Mesh Enterprise in multiple clusters.
In a multicluster setup, you install the Gloo Mesh control plane and data plane in separate clusters.
- Gloo Mesh control plane: When you install the Gloo Mesh control plane in a dedicated management cluster, a deployment named
gloo-mesh-mgmt-server
is created to translate and implement your Gloo configurations. - Data plane: Set up one or more workload clusters that are registered with and managed by the Gloo Mesh control plane in the management cluster. A deployment named
gloo-mesh-agent
is created to run the Gloo agent in each workload cluster. Additionally, you use the Gloo Mesh control plane to install an Istio service mesh in each workload cluster, as part of the Istio lifecycle management. By using Gloo-managed installations, you no longer need to manually install and manage theistiod
control plane and gateways in each workload cluster. Instead, you provide the Istio configuration in yourgloo-platform
Helm chart, and Gloo translates this configuration into managedistiod
control plane and gateways in the clusters.
Before you begin
-
Create or use existing Kubernetes clusters. For a multicluster setup, you need at least two clusters. One cluster is set up as the Gloo Mesh control plane where the management components are installed. The other cluster is registered as your data plane and runs your Kubernetes workloads and Istio service mesh. You can optionally add more workload clusters to your setup. The instructions in this guide assume one management cluster and two workload clusters. Note: The cluster name must be alphanumeric with no special characters except a hyphen (-), lowercase, and begin with a letter (not a number).
-
Set the names of your clusters from your infrastructure provider. If your clusters have different names, specify those names instead.
export MGMT_CLUSTER=mgmt export REMOTE_CLUSTER1=cluster1 export REMOTE_CLUSTER2=cluster2
-
Save the kubeconfig contexts for your clusters. Run
kubectl config get-contexts
, look for your cluster in theCLUSTER
column, and get the context name in theNAME
column. Note: Do not use context names with underscores. The context name is used as a SAN specification in the generated certificate that connects workload clusters to the management cluster, and underscores in SAN are not FQDN compliant. You can rename a context by runningkubectl config rename-context "<oldcontext>" <newcontext>
.export MGMT_CONTEXT=<management-cluster-context> export REMOTE_CONTEXT1=<remote-cluster1-context> export REMOTE_CONTEXT2=<remote-cluster2-context>
-
Add your Gloo Mesh Enterprise license that you got from your Solo account representative. If you do not have a key yet, you can get a trial license by contacting an account representative. If you prefer to specify license keys in a secret instead, see Licensing.
export GLOO_MESH_LICENSE_KEY=<license_key>
-
Set the Gloo Mesh Enterprise version. The latest version is used as an example. You can find other versions in the Changelog documentation. Append ‘-fips’ for a FIPS-compliant image, such as ‘2.4.0-beta1-fips’. Do not include
v
before the version number.Gloo Platform version 2.4.0-beta1 is not compatible with previous 1.x releases and custom resources such as VirtualMesh or TrafficPolicy.export GLOO_VERSION=2.4.0-beta1
-
Install the following CLI tools:
kubectl
, the Kubernetes command line tool. Download thekubectl
version that is within one minor version of the Kubernetes clusters you plan to use.- OpenShift only:
oc
, the OpenShift command line tool. Download theoc
version that is the same minor version of the OpenShift cluster you plan to use. meshctl
, the Gloo command line tool for bootstrapping Gloo Platform, registering clusters, describing configured resources, and more. Be sure to download version2.4.0-beta1
, which uses the latest Gloo Mesh CRDs.helm
, the Kubernetes package manager.
-
Production installations: Review Best practices for production to prepare your optional security measures. For example, before you begin your Gloo installation, you can provide your own certificates and set up secure access to the Gloo UI.
Install the control plane
Customize your Gloo Mesh setup by installing with the Gloo Platform Helm chart.
This guide uses the new gloo-platform
Helm chart, which is available in Gloo Platform 2.3 and later. For more information about this chart, see the gloo-platform
chart overview guide.
-
Add and update the Helm repository for Gloo Platform.
helm repo add gloo-platform https://storage.googleapis.com/gloo-platform/helm-charts helm repo update
-
Apply the Gloo Platform CRDs to your cluster by creating a
gloo-platform-crds
Helm release.helm install gloo-platform-crds gloo-platform/gloo-platform-crds \ --kube-context $MGMT_CONTEXT \ --namespace=gloo-mesh \ --create-namespace \ --version $GLOO_VERSION
-
Prepare a Helm values file for production-level settings, including FIPS-compliant images, OIDC authorization for the Gloo UI, and more. To get started, you can use the minimum settings in the
mgmt-server
profile as a basis for your values file. This profile enables all of the necessary components that are required for a Gloo Mesh control plane installation, such as the management server, as well as some optional components, such as the Gloo UI.curl https://storage.googleapis.com/gloo-platform/helm-profiles/$GLOO_VERSION/mgmt-server.yaml > mgmt-server.yaml open mgmt-server.yaml
cat >mgmt-server.yaml <<EOF common: cluster: $MGMT_CLUSTER glooMgmtServer: enabled: true floatingUserId: true serviceType: LoadBalancer glooUi: enabled: true floatingUserId: true prometheus: enabled: true server: securityContext: false redis: deployment: enabled: true floatingUserId: true telemetryGateway: enabled: true service: type: LoadBalancer EOF open mgmt-server.yaml
Note: When you use the settings in this profile to install Gloo Gateway in OpenShift 4.11 and later, you might see warnings for the pods and containers which violate the OpenShift
PodSecurity "restricted:v1.24"
profile, due to the elevated permissions required by Istio. You can ignore these warnings. For more info, see this article. -
Edit the file to provide your own details for settings that are recommended for production deployments, such as the following optional settings.
Field Decription glooMgmtServer.relay
Secure the relay connection between the Gloo management server and agents. By default, Gloo Mesh generates self-signed certificates and keys for the root CA and uses these credentials to derive the intermediate CA, server and client TLS certificates. This setup is not recommended for production. Instead, use your preferred PKI provider to generate and store your credentials, and to have more control over the certificate management process. For more information, see the relay Setup options. glooMgmtServer.resources.limits
Add resource limits for the gloo-mesh-mgmt-server
pod, such ascpu: 1000m
andmemory: 1Gi
.glooMgmtServer.serviceOverrides.metadata.annotations
Add annotations for the management server load balancer as needed, such as AWS-specific load balancer annotations. For more information, see Deployment and service overrides. glooUi.auth
Set up OIDC authorization for the Gloo UI. For more information, see UI authentication. istioInstallations
Add an istioInstallations
section to deploy managed Istio service meshes to each workload cluster. For an example of how this section might look, expand “Example: istioInstallations section” after this table.prometheus.enabled
Disable the default Prometheus instance as needed to provide your own. Otherwise, you can keep the default Prometheus server enabled, and deploy a production-level server to scrape metrics from the server. For more information on each option, see Best practices for collecting metrics in production. redis
Disable the default Redis deployment and provide your own backing database as needed. For more information, see Backing databases. OpenShift: glooMgmtServer.serviceType
andtelemetryGateway.service.type
In some OpenShift setups, you might not use load balancer service types. You can set these two deployment service types to ClusterIP
, and expose them by using OpenShift routes after installation.For more information about the settings you can configure:
- See Best practices for production.
- See all possible fields for the Helm chart by running
helm show values gloo-platform/gloo-platform --version v2.4.0-beta1 > all-values.yaml
. You can also see these fields in the Helm values documentation.
-
Install the Gloo Mesh control plane in your management cluster, including the customizations in your Helm values file.
helm install gloo-platform gloo-platform/gloo-platform \ --kube-context $MGMT_CONTEXT \ --namespace gloo-mesh \ --version $GLOO_VERSION \ --values mgmt-server.yaml \ --set common.cluster=$MGMT_CLUSTER \ --set licensing.glooMeshLicenseKey=$GLOO_MESH_LICENSE_KEY
Note: For quick testing, you can create an insecure connection between the management server and workload agents by including the
--set common.insecure=true
and--set glooMgmtServer.insecure=true
flags. -
Verify that the control plane pods have a status of
Running
.kubectl get pods -n gloo-mesh --context $MGMT_CONTEXT
Example output:
NAME READY STATUS RESTARTS AGE gloo-mesh-mgmt-server-56c495796b-cx687 1/1 Running 0 30s gloo-mesh-redis-8455d49c86-f8qhw 1/1 Running 0 30s gloo-mesh-ui-65b6b6df5f-bf4vp 3/3 Running 0 30s gloo-telemetry-gateway-6547f479d5-r4zm6 1/1 Running 0 30s prometheus-server-57cd8c74d4-2bc7f 2/2 Running 0 30s
-
Save the external address and port that were assigned by your cloud provider to the
gloo-mesh-mgmt-server
service. Thegloo-mesh-agent
relay agent in each cluster accesses this address via a secure connection.export MGMT_SERVER_NETWORKING_DOMAIN=$(kubectl get svc -n gloo-mesh gloo-mesh-mgmt-server --context $MGMT_CONTEXT -o jsonpath='{.status.loadBalancer.ingress[0].ip}') export MGMT_SERVER_NETWORKING_PORT=$(kubectl -n gloo-mesh get service gloo-mesh-mgmt-server --context $MGMT_CONTEXT -o jsonpath='{.spec.ports[?(@.name=="grpc")].port}') export MGMT_SERVER_NETWORKING_ADDRESS=${MGMT_SERVER_NETWORKING_DOMAIN}:${MGMT_SERVER_NETWORKING_PORT} echo $MGMT_SERVER_NETWORKING_ADDRESS
export MGMT_SERVER_NETWORKING_DOMAIN=$(kubectl get svc -n gloo-mesh gloo-mesh-mgmt-server --context $MGMT_CONTEXT -o jsonpath='{.status.loadBalancer.ingress[0].hostname}') export MGMT_SERVER_NETWORKING_PORT=$(kubectl -n gloo-mesh get service gloo-mesh-mgmt-server --context $MGMT_CONTEXT -o jsonpath='{.spec.ports[?(@.name=="grpc")].port}') export MGMT_SERVER_NETWORKING_ADDRESS=${MGMT_SERVER_NETWORKING_DOMAIN}:${MGMT_SERVER_NETWORKING_PORT} echo $MGMT_SERVER_NETWORKING_ADDRESS
- Expose the management server by using an OpenShift route. Your route might look like the following.
oc apply --context $MGMT_CONTEXT -n gloo-mesh -f- <<EOF kind: Route apiVersion: route.openshift.io/v1 metadata: name: gloo-mesh-mgmt-server namespace: gloo-mesh annotations: # Needed for the different agents to connect to different replica instances of the management server deployment haproxy.router.openshift.io/balance: roundrobin spec: host: gloo-mesh-mgmt-server.<your_domain>.com to: kind: Service name: gloo-mesh-mgmt-server weight: 100 port: targetPort: grpc tls: termination: passthrough insecureEdgeTerminationPolicy: Redirect wildcardPolicy: None EOF
- Save the management server's address, which consists of the route host and the route port. Note that the port is the route's own port, such as
443
, and not thegrpc
port of the management server that the route points to.export MGMT_SERVER_NETWORKING_DOMAIN=$(oc get route -n gloo-mesh gloo-mesh-mgmt-server --context $MGMT_CONTEXT -o jsonpath='{.status.ingress[0].host}') export MGMT_SERVER_NETWORKING_ADDRESS=${MGMT_SERVER_NETWORKING_DOMAIN}:443 echo $MGMT_SERVER_NETWORKING_ADDRESS
- Expose the management server by using an OpenShift route. Your route might look like the following.
-
Save the external address and port that were assigned by your cloud provider to the Gloo OpenTelemetry (OTel) gateway service. The OTel collector agents in each workload cluster send metrics to this address.
export TELEMETRY_GATEWAY_IP=$(kubectl get svc -n gloo-mesh gloo-telemetry-gateway --context $MGMT_CONTEXT -o jsonpath='{.status.loadBalancer.ingress[0].ip}') export TELEMETRY_GATEWAY_PORT=$(kubectl -n gloo-mesh get service gloo-telemetry-gateway --context $MGMT_CONTEXT -o jsonpath='{.spec.ports[?(@.name=="otlp")].port}') export TELEMETRY_GATEWAY_ADDRESS=${TELEMETRY_GATEWAY_IP}:${TELEMETRY_GATEWAY_PORT} echo $TELEMETRY_GATEWAY_ADDRESS
export TELEMETRY_GATEWAY_HOSTNAME=$(kubectl get svc -n gloo-mesh gloo-telemetry-gateway --context $MGMT_CONTEXT -o jsonpath='{.status.loadBalancer.ingress[0].hostname}') export TELEMETRY_GATEWAY_PORT=$(kubectl -n gloo-mesh get service gloo-telemetry-gateway --context $MGMT_CONTEXT -o jsonpath='{.spec.ports[?(@.name=="otlp")].port}') export TELEMETRY_GATEWAY_ADDRESS=${TELEMETRY_GATEWAY_HOSTNAME}:${TELEMETRY_GATEWAY_PORT} echo $TELEMETRY_GATEWAY_ADDRESS
- Expose the telemetry gateway by using an OpenShift route. Your route might look like the following.
oc apply --context $MGMT_CONTEXT -n gloo-mesh -f- <<EOF kind: Route apiVersion: route.openshift.io/v1 metadata: name: gloo-telemetry-gateway namespace: gloo-mesh spec: host: gloo-telemetry-gateway.<your_domain>.com to: kind: Service name: gloo-telemetry-gateway weight: 100 port: targetPort: otlp tls: termination: passthrough insecureEdgeTerminationPolicy: Redirect wildcardPolicy: None EOF
- Save the telemetry gateway's address, which consists of the route host and the route port. Note that the port is the route's own port, such as
443
, and not theotlp
port of the telemetry gateway that the route points to.export TELEMETRY_GATEWAY_HOST=$(oc get route -n gloo-mesh gloo-telemetry-gateway --context $MGMT_CONTEXT -o jsonpath='{.status.ingress[0].host}') export TELEMETRY_GATEWAY_ADDRESS=${TELEMETRY_GATEWAY_HOST}:443 echo $TELEMETRY_GATEWAY_ADDRESS
- Expose the telemetry gateway by using an OpenShift route. Your route might look like the following.
-
Create a workspace that selects all clusters and namespaces by default. Gloo workspaces let you organize team resources across Kubernetes namespaces and clusters. In this example, you create a single workspace for everything. For more complex setups, such as creating a workspace for each team to enforce service isolation, set up federation, and even share resources by importing and exporting, see Organize team resources with workspaces.
kubectl apply --context $MGMT_CONTEXT -f- <<EOF apiVersion: admin.gloo.solo.io/v2 kind: Workspace metadata: name: $MGMT_CLUSTER namespace: gloo-mesh spec: workloadClusters: - name: '*' namespaces: - name: '*' EOF
-
Create a workspace settings for the workspace that enables federation across clusters and selects the Istio east-west gateway.
kubectl apply --context $MGMT_CONTEXT -f- <<EOF apiVersion: admin.gloo.solo.io/v2 kind: WorkspaceSettings metadata: name: $MGMT_CLUSTER namespace: gloo-mesh spec: options: serviceIsolation: enabled: false federation: enabled: false serviceSelector: - {} eastWestGateways: - selector: labels: istio: eastwestgateway EOF
Register workload clusters
Register each workload cluster with the management server by deploying the relay agent.
-
For the workload cluster that you want to register with Gloo, set the following environment variables. You update these variables each time you register another workload cluster.
export REMOTE_CLUSTER=$REMOTE_CLUSTER1 export REMOTE_CONTEXT=$REMOTE_CONTEXT1
-
In the management cluster, create a
KubernetesCluster
resource to represent the workload cluster and store relevant data, such as the workload cluster's local domain.- The
metadata.name
must match the name of the workload cluster that you specify in thegloo-platform
Helm chart in subsequent steps. - The
spec.clusterDomain
must match the local cluster domain of the Kubernetes cluster. - You can optionally give your cluster a label, such as
env: prod
,region: us-east
, or another selector. Your workspaces can use the label to automatically add the cluster to the workspace.
kubectl apply --context $MGMT_CONTEXT -f- <<EOF apiVersion: admin.gloo.solo.io/v2 kind: KubernetesCluster metadata: name: ${REMOTE_CLUSTER} namespace: gloo-mesh labels: env: prod spec: clusterDomain: cluster.local EOF
- The
-
In your workload cluster, apply the Gloo Platform CRDs by creating a
gloo-platform-crds
Helm release.helm install gloo-platform-crds gloo-platform/gloo-platform-crds \ --kube-context $REMOTE_CONTEXT \ --namespace=gloo-mesh \ --create-namespace \ --version $GLOO_VERSION
-
Prepare a Helm values file for production-level settings, including FIPS-compliant images, OIDC authorization for the Gloo UI, and more. To get started, you can use the minimum settings in the
agent
profile as a basis for your values file. This profile enables the Gloo agent and the Gloo Platform telemetry collector.curl https://storage.googleapis.com/gloo-platform/helm-profiles/$GLOO_VERSION/agent.yaml > agent.yaml open agent.yaml
cat >agent.yaml <<EOF glooAgent: enabled: true floatingUserId: true telemetryCollector: enabled: true EOF open agent.yaml
Note: When you use the settings in this profile to install Gloo Gateway in OpenShift 4.11 and later, you might see warnings for the pods and containers which violate the OpenShift
PodSecurity "restricted:v1.24"
profile, due to the elevated permissions required by Istio. You can ignore these warnings. For more info, see this article. -
Edit the file to provide your own details for settings that are recommended for production deployments, such as the following optional settings.
Field Decription glooAgent.relay
Provide the certificate and secret details that correspond to your management server relay settings. For more information, see the relay Setup options. glooAgent.resources.limits
Add resource limits for the gloo-mesh-mgmt-server
pod, such ascpu: 500m
andmemory: 512Mi
.For more information about the settings you can configure:
- See Best practices for production.
- See all possible fields for the Helm chart by running
helm show values gloo-platform/gloo-platform --version v2.4.0-beta1 > all-values.yaml
. You can also see these fields in the Helm values documentation.
-
Deploy the relay agent to the workload cluster.
helm install gloo-platform gloo-platform/gloo-platform \ --namespace gloo-mesh \ --kube-context $REMOTE_CONTEXT \ --version $GLOO_VERSION \ --values agent.yaml \ --set common.cluster=$REMOTE_CLUSTER \ --set glooAgent.relay.serverAddress=$MGMT_SERVER_NETWORKING_ADDRESS \ --set telemetryCollector.config.exporters.otlp.endpoint=$TELEMETRY_GATEWAY_ADDRESS
-
Optional: Install add-ons, such as the external auth and rate limit servers, in a separate Helm release. Only create this release if you did not enable the
extAuthService
andrateLimiter
in your agent release.export ISTIO_REVISION=1-17-2 kubectl create namespace gloo-mesh-addons --context $REMOTE_CONTEXT kubectl label namespace gloo-mesh-addons istio.io/rev="${ISTIO_REVISION}" --overwrite --context $REMOTE_CONTEXT helm install gloo-agent-addons gloo-platform/gloo-platform \ --namespace gloo-mesh-addons \ --kube-context $REMOTE_CONTEXT \ --create-namespace \ --version $GLOO_VERSION \ --set common.cluster=$REMOTE_CLUSTER \ --set extAuthService.enabled=true \ --set rateLimiter.enabled=true
- Elevate the permissions of the
gloo-mesh-addons
service account that will be created.oc adm policy add-scc-to-group anyuid system:serviceaccounts:gloo-mesh-addons --context $REMOTE_CONTEXT
- Create the
gloo-mesh-addons
project, and create a NetworkAttachmentDefinition custom resource for the project.kubectl create ns gloo-mesh-addons --context $REMOTE_CONTEXT cat <<EOF | oc -n gloo-mesh-addons create --context $REMOTE_CONTEXT -f - apiVersion: "k8s.cni.cncf.io/v1" kind: NetworkAttachmentDefinition metadata: name: istio-cni EOF
- Create the add-ons release.
export ISTIO_REVISION=1-17-2 kubectl label namespace gloo-mesh-addons istio.io/rev="${ISTIO_REVISION}" --overwrite --context $REMOTE_CONTEXT helm install gloo-agent-addons gloo-platform/gloo-platform \ --namespace gloo-mesh-addons \ --kube-context $REMOTE_CONTEXT \ --version $GLOO_VERSION \ --set common.cluster=$REMOTE_CLUSTER \ --set extAuthService.enabled=true \ --set rateLimiter.enabled=true
- Elevate the permissions of the
-
Verify that the Gloo data plane components are healthy. If not, try debugging the agent.
meshctl check --kubecontext $REMOTE_CONTEXT
Example output:
🟢 CRD Version check 🟢 Gloo Platform Deployment Status Namespace | Name | Ready | Status gloo-mesh | gloo-mesh-agent | 1/1 | Healthy gloo-mesh-addons | ext-auth-service | 1/1 | Healthy gloo-mesh-addons | rate-limiter | 1/1 | Healthy gloo-mesh-addons | redis | 1/1 | Healthy
-
Repeat steps 1 - 8 to register each workload cluster with Gloo.
-
Verify that your Gloo Mesh setup is correctly installed. If not, try debugging the relay connection. Note that this check might take a few seconds to verify that:
- Your Gloo Platform product licenses are valid and current.
- The Gloo Platform CRDs are installed at the correct version.
- The control plane pods in the management cluster are running and healthy.
- The agents in the workload clusters are successfully identified by the control plane.
meshctl check --kubecontext $MGMT_CONTEXT
Example output:
🟢 License status INFO gloo-mesh enterprise license expiration is 25 Aug 23 10:38 CDT INFO No GraphQL license module found for any product 🟢 CRD version check 🟢 Gloo Platform deployment status Namespace | Name | Ready | Status gloo-mesh | gloo-mesh-mgmt-server | 1/1 | Healthy gloo-mesh | gloo-mesh-redis | 1/1 | Healthy gloo-mesh | gloo-mesh-ui | 1/1 | Healthy gloo-mesh | gloo-telemetry-gateway | 1/1 | Healthy gloo-mesh | prometheus-server | 1/1 | Healthy gloo-mesh | gloo-telemetry-collector-agent | 3/3 | Healthy 🟢 Mgmt server connectivity to workload agents Cluster | Registered | Connected Pod cluster1 | true | gloo-mesh/gloo-mesh-mgmt-server-65bd557b95-v8qq6 cluster2 | true | gloo-mesh/gloo-mesh-mgmt-server-65bd557b95-v8qq6
-
If you set
istioInstallations.enabled
tofalse
in your management cluster Helm installation, deploy Istio in each workload cluster.- To deploy managed Istio installations, see Install Istio by using the Istio Lifecycle Manager.
- To instead manage Istio yourself, see Manually deploy Istio.
Optional: Configure the locality labels for the nodes
Gloo Mesh uses Kubernetes labels on the nodes in your clusters to indicate locality for the services that run on the nodes. For more information, see the Kubernetes topology and Istio locality documentation.
- Cloud: Typically, your cloud provider sets the Kubernetes
region
andzone
labels for each node automatically. Depending on the level of availability that you want, you might have clusters in the same region, but different zones. Or, each cluster might be in a different region, with nodes spread across zones. - On-premises: Depending on how you set up your cluster, you likely must set the
region
andzone
labels for each node yourself. Additionally, consider setting asubzone
label to specify nodes on the same rack or other more granular setups.
Verify that your nodes have locality labels
Verify that your nodes have at least region
and zone
labels. If so, and you do not want to update the labels, you can skip the remaining steps.
kubectl get nodes --context $REMOTE_CONTEXT1 -o jsonpath='{.items[*].metadata.labels}'
kubectl get nodes --context $REMOTE_CONTEXT2 -o jsonpath='{.items[*].metadata.labels}'
Example output with region
and zone
labels:
..."topology.kubernetes.io/region":"us-east","topology.kubernetes.io/zone":"us-east-2"
Add locality labels to your nodes
If your nodes do not already have region and zone labels, you must add the labels. Depending on your cluster setup, you might add the same region
label to each node, but a separate zone
label per node. The values are not validated against your underlying infrastructure provider. The following example shows how you might label multizone clusters in two different regions, but you can adapt the steps for your actual setup.
- Label all the nodes in each cluster for the region. If your nodes have incorrect region labels, include the
--overwrite
flag in the command.kubectl label nodes --all --context $REMOTE_CONTEXT1 topology.kubernetes.io/region=us-east kubectl label nodes --all --context $REMOTE_CONTEXT2 topology.kubernetes.io/region=us-west
- List the nodes in each cluster. Note the name for each node.
kubectl get nodes --context $REMOTE_CONTEXT1 kubectl get nodes --context $REMOTE_CONTEXT2
- Label each node in each cluster for the zone. If your nodes have incorrect zone labels, include the
--overwrite
flag in the command.kubectl label node <cluster1_node-1> --context $REMOTE_CONTEXT1 topology.kubernetes.io/zone=us-east-1 kubectl label node <cluster1_node-2> --context $REMOTE_CONTEXT1 topology.kubernetes.io/zone=us-east-2 kubectl label node <cluster1_node-3> --context $REMOTE_CONTEXT1 topology.kubernetes.io/zone=us-east-3 kubectl label node <cluster2_node-1> --context $REMOTE_CONTEXT2 topology.kubernetes.io/zone=us-west-1 kubectl label node <cluster2_node-2> --context $REMOTE_CONTEXT2 topology.kubernetes.io/zone=us-west-2 kubectl label node <cluster2_node-3> --context $REMOTE_CONTEXT2 topology.kubernetes.io/zone=us-west-3
Next steps
Now that the Gloo Mesh is installed, check out the following resources to explore Gloo Mesh capabilities:
- Organize team resources with workspaces.
- Deploy sample apps for multicluster or single cluster environments to follow the guides in the documentation.
- Review how Gloo Mesh custom resources are automatically translated into Istio resources.
- Talk to an expert to get advice or build out a proof of concept.
- Join the #gloo-mesh channel in the Solo.io community slack.
- Try out one of the Gloo Mesh workshops.