Gloo Mesh deploys alongside your Istio installations in single or multicluster environments, and gives you instant insights into your Istio environment through a custom dashboard.

You can follow this guide to quickly get started with Gloo Mesh. To learn more about the benefits and architecture, see About. To customize your installation with Helm instead, see the advanced installation guide.

Before you begin

  1. Install the following command-line (CLI) tools.

    • kubectl, the Kubernetes command line tool. Download the kubectl version that is within one minor version of the Kubernetes clusters you plan to use.
    • meshctl, the Solo command line tool.
        curl -sL https://run.solo.io/meshctl/install | GLOO_MESH_VERSION=v2.8.0-rc1 sh -
export PATH=$HOME/.gloo-mesh/bin:$PATH
    • helm, the Kubernetes package manager.

  2. Create or use at least two existing Kubernetes clusters. The instructions in this guide assume one management cluster and two workload clusters.

    • The cluster name must be alphanumeric with no special characters except a hyphen (-), lowercase, and begin with a letter (not a number).

  3. 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
  4. Save the kubeconfig contexts for your clusters. Run kubectl config get-contexts, look for your cluster in the CLUSTER column, and get the context name in the NAME column. Note: Do not use context names with underscores. The generated certificate that connects workload clusters to the management cluster uses the context name as a SAN specification, and underscores in SAN are not FQDN compliant. You can rename a context by running kubectl config rename-context "<oldcontext>" <newcontext>.
      export MGMT_CONTEXT=<management-cluster-context>
export REMOTE_CONTEXT1=<remote-cluster1-context>
export REMOTE_CONTEXT2=<remote-cluster2-context>

  5. Save your Enterprise level license key for Gloo Mesh as an environment variable, which is required for multicluster mesh functionality. Contact your account representative to obtain a valid license.

  export GLOO_MESH_LICENSE_KEY=<enterprise_license_key>

Install Gloo Mesh

In a multicluster setup, you deploy the Gloo management plane into a dedicated management cluster, and the Gloo data plane into one or more workload clusters that run Istio service meshes.

Management plane

Deploy the Gloo management plane into a dedicated management cluster.

  1. Install Gloo Mesh in your management cluster. This command uses a basic profile to create a gloo-mesh namespace and install the Gloo management plane components, such as the management server and Prometheus server, in your management cluster. For more information, check out the CLI install profiles.

      meshctl install --profiles gloo-mesh-mgmt \
  --kubecontext $MGMT_CONTEXT \
  --set common.cluster=$MGMT_CLUSTER \
  --set licensing.glooMeshCoreLicenseKey=$GLOO_MESH_LICENSE_KEY

  2. Verify that the management 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-collector-agent-7rzfb      1/1     Running   0          30s
gloo-telemetry-collector-agent-mf5rw      1/1     Running   0          30s
gloo-telemetry-gateway-6547f479d5-r4zm6   1/1     Running   0          30s
prometheus-server-57cd8c74d4-2bc7f        2/2     Running   0          30s

  3. Save the external address and port that your cloud provider assigned 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 $MGMT_CONTEXT -o jsonpath="{.status.loadBalancer.ingress[0]['hostname','ip']}")
export TELEMETRY_GATEWAY_PORT=$(kubectl get svc -n gloo-mesh 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

Data plane

Register each workload cluster with the Gloo management plane by deploying Gloo data plane components. A deployment named gloo-mesh-agent runs the Gloo agent in each workload cluster.

  1. Register both workload clusters with the management server. These commands use a basic profile to create a gloo-mesh namespace and install the Gloo data plane components, such as the Gloo agent. For more information, check out the CLI install profiles.

      meshctl cluster register $REMOTE_CLUSTER1 \
  --kubecontext $MGMT_CONTEXT \
  --profiles gloo-mesh-agent \
  --remote-context $REMOTE_CONTEXT1 \
  --telemetry-server-address $TELEMETRY_GATEWAY_ADDRESS

meshctl cluster register $REMOTE_CLUSTER2 \
  --kubecontext $MGMT_CONTEXT \
  --profiles gloo-mesh-agent \
  --remote-context $REMOTE_CONTEXT2 \
  --telemetry-server-address $TELEMETRY_GATEWAY_ADDRESS

  2. Verify that the Gloo data plane components in each workload cluster are healthy. If not, try debugging the agent.

      kubectl get pods -n gloo-mesh --context $REMOTE_CONTEXT1
kubectl get pods -n gloo-mesh --context $REMOTE_CONTEXT2

    Example output:

      NAME                                   READY   STATUS    RESTARTS   AGE
gloo-mesh-agent-8ffc775c4-tk2z5        2/2     Running   0          90s
gloo-telemetry-collector-agent-g8p7x   1/1     Running   0          90s
gloo-telemetry-collector-agent-mp2wd   1/1     Running   0          90s

  3. 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 product licenses are valid and current.
    • The Gloo CRDs are installed at the correct version.
    • The management plane pods in the management cluster are running and healthy.
    • The agents in the workload clusters are successfully identified by the management server.
      meshctl check --kubecontext $MGMT_CONTEXT

    Example output:

      🟢 License status

INFO  gloo-mesh enterprise license expiration is 25 Aug 24 10:38 CDT

🟢 CRD version check

🟢 Gloo 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 | 2/2   | 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

Connected Pod                                    | Clusters
gloo-mesh/gloo-mesh-mgmt-server-65bd557b95-v8qq6 | 2

Deploy Istio

Use the Gloo Operator to deploy and link service meshes in each workload cluster.

  1. Get the Solo distribution of Istio binary and install istioctl, which you use for multicluster linking and gateway commands.

    1. Get the operating system, architecture, and Istio repository details and save them in environment variables.

        OS=$(uname | tr '[:upper:]' '[:lower:]' | sed -E 's/darwin/osx/')
ARCH=$(uname -m | sed -E 's/aarch/arm/; s/x86_64/amd64/; s/armv7l/armv7/')
echo $OS
echo $ARCH
ISTIO_VERSION=1.25.2
ISTIO_IMAGE=${ISTIO_VERSION}-solo
REPO_KEY=e038d180f90a

    2. Download the Solo distribution of Istio binary and install istioctl.

        mkdir -p ~/.istioctl/bin
curl -sSL https://storage.googleapis.com/istio-binaries-$REPO_KEY/$ISTIO_IMAGE/istioctl-$ISTIO_IMAGE-$OS-$ARCH.tar.gz | tar xzf - -C ~/.istioctl/bin
chmod +x ~/.istioctl/bin/istioctl

export PATH=${HOME}/.istioctl/bin:${PATH}

    3. Verify that the istioctl client runs the Solo distribution of Istio that you want to install.

        istioctl version --remote=false

      Example output:

        client version: 1.25.2-solo

  2. Create a shared root of trust for the workload clusters. These example commands use the Istio CA to generate a self-signed root certificate and key, and use them to sign the workload certificates. For more information, see the Plug in CA Certificates guide in the community Istio documentation.

      curl -L https://istio.io/downloadIstio | ISTIO_VERSION=${ISTIO_VERSION} sh -
cd istio-${ISTIO_VERSION}
mkdir -p certs
pushd certs
make -f ../tools/certs/Makefile.selfsigned.mk root-ca

function create_cacerts_secret() {
  context=${1:?context}
  cluster=${2:?cluster}
  make -f ../tools/certs/Makefile.selfsigned.mk ${cluster}-cacerts
  kubectl --context=${context} create ns istio-system || true
  kubectl --context=${context} create secret generic cacerts -n istio-system \
    --from-file=${cluster}/ca-cert.pem \
    --from-file=${cluster}/ca-key.pem \
    --from-file=${cluster}/root-cert.pem \
    --from-file=${cluster}/cert-chain.pem
}

create_cacerts_secret ${REMOTE_CONTEXT1} ${REMOTE_CLUSTER1}
create_cacerts_secret ${REMOTE_CONTEXT2} ${REMOTE_CLUSTER2}

  3. Apply the CRDs for the Kubernetes Gateway API to each cluster, which are required to create components such as waypoint proxies for L7 traffic policies, gateways with the Gateway resource, and more.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl apply -f https://github.com/kubernetes-sigs/gateway-api/releases/download/v1.2.1/standard-install.yaml --context ${REMOTE_CONTEXT1}
done

  4. Install the Gloo Operator to the gloo-mesh namespace of each cluster. This operator deploys and manages your Istio installations.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  helm install gloo-operator oci://us-docker.pkg.dev/solo-public/gloo-operator-helm/gloo-operator \
  --version 0.2.3 \
  -n gloo-mesh \
  --create-namespace \
  --kube-context ${context} \
  --set manager.env.SOLO_ISTIO_LICENSE_KEY=${GLOO_MESH_LICENSE_KEY}
done

  5. Verify that the operator pods are running.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl get pods -n gloo-mesh --context ${context} | grep operator
done

  6. Apply the following ServiceMeshController resource for the Gloo Operator to create an Istio installation.

      function apply_smc() {
context=${1:?context}
cluster=${2:?cluster}

kubectl apply -n gloo-mesh --context ${context} -f - <<EOF
apiVersion: operator.gloo.solo.io/v1
kind: ServiceMeshController
metadata:
  name: managed-istio
  labels:
    app.kubernetes.io/name: managed-istio
spec:
  cluster: ${cluster}
  network: ${cluster}
  dataplaneMode: Ambient # required for multicluster setups
  installNamespace: istio-system
  version: ${ISTIO_VERSION}
EOF
}

apply_smc ${REMOTE_CONTEXT1} ${REMOTE_CLUSTER1}
apply_smc ${REMOTE_CONTEXT2} ${REMOTE_CLUSTER2}

  7. Verify that the components of the Istio control and data plane are successfully installed. Because the ztunnel and the CNI are deployed as daemon sets, the number of ztunnel pods and CNI pods each equal the number of nodes in your cluster. Note that it might take a few seconds for the pods to become available.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl get pods -n istio-system --context ${context}
done

    Example output for one cluster:

      NAME                          READY   STATUS    RESTARTS   AGE
istio-cni-node-6s5nk          1/1     Running   0          2m53s
istio-cni-node-blpz4          1/1     Running   0          2m53s
istiod-gloo-bb86b959f-msrg7   1/1     Running   0          2m45s
istiod-gloo-bb86b959f-w29cm   1/1     Running   0          3m
ztunnel-mx8nw                 1/1     Running   0          2m52s
ztunnel-w8r6c                 1/1     Running   0          2m52s

  8. Create an east-west gateway in the istio-eastwest namespace of each cluster to facilitate traffic between services in each cluster in your multicluster mesh.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl create namespace istio-eastwest --context ${context}
  istioctl multicluster expose --namespace istio-eastwest --context ${context}
done

  9. Link clusters to enable cross-cluster service discovery and allow traffic to be routed through east-west gateways across clusters. In each cluster, Gateway resources are created that use the istio-remote GatewayClass, which allows the gateways to connect to other clusters by using the clusters’ contexts.

      istioctl multicluster link --namespace istio-eastwest --contexts=${REMOTE_CONTEXT1},${REMOTE_CONTEXT2}

  10. Verify that east-west and remote peering gateways are successfully created in each cluster.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl get gateways -A --context ${context}
done

    Example output:

      NAMESPACE        NAME             CLASS            ADDRESS                                                                   PROGRAMMED   AGE
istio-eastwest   istio-eastwest   istio-eastwest   a7e3c1cb7895b4feaa69bc82ae276e0a-1234567890.us-east-1.elb.amazonaws.com   True         55s
istio-eastwest   cluster1         istio-remote     a7e3c1cb7895b4feaa69bc82ae276e0a-1234567890.us-east-1.elb.amazonaws.com   True         54s
NAMESPACE        NAME             CLASS            ADDRESS                                                                   PROGRAMMED   AGE
istio-eastwest   istio-eastwest   istio-eastwest   abfb3c4472a93442b9cb08f11d0d95cb-0987654321.us-east-1.elb.amazonaws.com   True         52s
istio-eastwest   cluster2         istio-remote     abfb3c4472a93442b9cb08f11d0d95cb-0987654321.us-east-1.elb.amazonaws.com   True         52s

Deploy a sample app

To analyze your service mesh with Gloo Mesh, be sure to include your services in the mesh.

If you already deployed apps that you want to include in the mesh, you can run the following command to add all pods in the service namespace to the ambient mesh.

  kubectl label ns <namespace> istio.io/dataplane-mode=ambient --context ${REMOTE_CONTEXT1}

If you don’t have any apps yet, you can deploy Bookinfo, the Istio sample app.

  1. Create the bookinfo namespace in each cluster, and label the namespaces so that the services become part of the ambient service mesh.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  kubectl --context ${context} create ns bookinfo
  kubectl --context ${context} label namespace bookinfo istio.io/dataplane-mode=ambient
done

  2. Deploy the Bookinfo app to each cluster.

      for context in ${REMOTE_CONTEXT1} ${REMOTE_CONTEXT2}; do
  # deploy bookinfo application components for all versions
  kubectl --context ${context} -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'app'
  # deploy an updated product page with extra container utilities such as 'curl' and 'netcat'
  kubectl --context ${context} -n bookinfo apply -f https://raw.githubusercontent.com/solo-io/gloo-mesh-use-cases/main/policy-demo/productpage-with-curl.yaml
  # deploy all bookinfo service accounts
  kubectl --context ${context} -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'account'
done

  3. Verify that the Bookinfo app is deployed successfully.

      kubectl --context ${REMOTE_CONTEXT1} get pods,svc -n bookinfo
kubectl --context ${REMOTE_CONTEXT2} get pods,svc -n bookinfo

  4. Label the productpage service in each cluster to create one productpage global service entry. This global service unifies both service endpoints behind one global service hostname, which increases the availability of the Bookinfo app and makes both endpoints available across the multicluster mesh. For more information, see Namespace sameness.

      kubectl --context ${REMOTE_CONTEXT1} label service productpage -n bookinfo solo.io/service-scope=global
kubectl --context ${REMOTE_CONTEXT2} label service productpage -n bookinfo solo.io/service-scope=global

  5. Apply the networking.istio.io/traffic-distribution=Any annotation to the services. This annotation allows requests to the productpage global service to be routed to each service endpoint equally.

      kubectl --context ${REMOTE_CONTEXT1} annotate service productpage -n bookinfo networking.istio.io/traffic-distribution=Any
kubectl --context ${REMOTE_CONTEXT2} annotate service productpage -n bookinfo networking.istio.io/traffic-distribution=Any

  6. Verify that the global service entry with the productpage.bookinfo.mesh.internal hostname is created.

      kubectl get serviceentry -n istio-system --context ${REMOTE_CONTEXT1} 
kubectl get serviceentry -n istio-system --context ${REMOTE_CONTEXT2}

    Example output:

      NAMESPACE      NAME                           HOSTS                                    LOCATION   RESOLUTION   AGE
istio-system   autogen.bookinfo.productpage   ["productpage.bookinfo.mesh.internal"]              STATIC       94s

You can now use the productpage global service hostname in routing configurations. For example, to expose the productpage global service hostname with an ingress gateway, check out the guide to use Gloo Gateway as an ingress gateway to your ambient mesh.

If you already deployed apps that you want to include in the mesh, you can run the following command to label the service namespace for Istio sidecar injection with the gloo revision label.

  kubectl label ns <namespace> istio.io/rev=gloo --overwrite --context ${REMOTE_CONTEXT1}

If you don’t have any apps yet, you can deploy Bookinfo, the Istio sample app.

  1. Create the bookinfo namespace in each cluster, and label it with the gloo revision for Istio sidecar injection so that the services become part of the service mesh.

      kubectl create ns bookinfo --context ${REMOTE_CONTEXT1}
kubectl label ns bookinfo istio.io/rev=gloo --overwrite --context ${REMOTE_CONTEXT1}
kubectl create ns bookinfo --context ${REMOTE_CONTEXT2}
kubectl label ns bookinfo istio.io/rev=gloo --overwrite --context ${REMOTE_CONTEXT2}

  2. Deploy Bookinfo with the details, productpage, ratings, reviews-v1, and reviews-v2 services in cluster1.

      # deploy bookinfo application components for all versions less than v3
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'app,version notin (v3)' --context ${REMOTE_CONTEXT1}
# deploy an updated product page with extra container utilities such as 'curl' and 'netcat'
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/solo-io/gloo-mesh-use-cases/main/policy-demo/productpage-with-curl.yaml --context ${REMOTE_CONTEXT1}
# deploy all bookinfo service accounts
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'account' --context ${REMOTE_CONTEXT1}

  3. Deploy Bookinfo with the ratings and reviews-v3 services in cluster2.

      # deploy reviews and ratings services
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'service in (reviews)' --context ${REMOTE_CONTEXT2}
# deploy reviews-v3
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'app in (reviews),version in (v3)' --context ${REMOTE_CONTEXT2}
# deploy ratings
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'app in (ratings)' --context ${REMOTE_CONTEXT2}
# deploy reviews and ratings service accounts
kubectl -n bookinfo apply -f https://raw.githubusercontent.com/istio/istio/1.25.2/samples/bookinfo/platform/kube/bookinfo.yaml -l 'account in (reviews, ratings)' --context ${REMOTE_CONTEXT2}

  4. Verify that the Bookinfo app deployed successfully.

      kubectl get pods,svc -n bookinfo --context ${REMOTE_CONTEXT1}
kubectl get pods,svc -n bookinfo --context ${REMOTE_CONTEXT2}

  5. Label the productpage service in each cluster to create one productpage global service entry. This global service unifies both service endpoints behind one global service hostname, which increases the availability of the Bookinfo app and makes both endpoints available across the multicluster mesh. For more information, see Namespace sameness.

      kubectl --context ${REMOTE_CONTEXT1} label service productpage -n bookinfo solo.io/service-scope=global
kubectl --context ${REMOTE_CONTEXT2} label service productpage -n bookinfo solo.io/service-scope=global

  6. Apply the networking.istio.io/traffic-distribution=Any annotation to the services. This annotation allows requests to the productpage global service to be routed to each service endpoint equally.

      kubectl --context ${REMOTE_CONTEXT1} annotate service productpage -n bookinfo networking.istio.io/traffic-distribution=Any
kubectl --context ${REMOTE_CONTEXT2} annotate service productpage -n bookinfo networking.istio.io/traffic-distribution=Any

  7. Verify that the global service entry with the productpage.bookinfo.mesh.internal hostname is created.

      kubectl get serviceentry -n istio-system --context ${REMOTE_CONTEXT1} 
kubectl get serviceentry -n istio-system --context ${REMOTE_CONTEXT2}

    Example output:

      NAMESPACE      NAME                           HOSTS                                    LOCATION   RESOLUTION   AGE
istio-system   autogen.bookinfo.productpage   ["productpage.bookinfo.mesh.internal"]              STATIC       94s

You can now use the productpage global service hostname in routing configurations.

Optional: Expose apps with an ingress gateway

You can optionally deploy an ingress gateway to send requests to sample apps from outside the multicluster service mesh. To review your options, such as deploying Gloo Gateway as an ingress gateway, see the ingress gateway guide for ambient or sidecar meshes.

Explore the UI

Use the Gloo UI to evaluate the health and efficiency of your service mesh. You can review the analysis and insights for your service mesh, such as recommendations to harden your Istio environment and steps to implement them in your environment.

Launch the dashboard

  1. Open the Gloo UI. The Gloo UI is served from the gloo-mesh-ui service on port 8090. You can connect by using the meshctl or kubectl CLIs.

    For more information, see the CLI documentation.

      meshctl dashboard --context $MGMT_CONTEXT
    1. Port-forward the gloo-mesh-ui service on 8090.
        kubectl port-forward -n gloo-mesh --context $MGMT_CONTEXT svc/gloo-mesh-ui 8090:8090
    2. Open your browser and connect to http://localhost:8090.

  2. Review your Dashboard for an at-a-glance overview of your Gloo Mesh environment. Environment insights, health, status, inventories, security, and more are summarized in the following cards:

    • Analysis and Insights: Gloo Mesh recommendations for how to improve your Istio setups.
    • Gloo and Istio health: A status check of the Gloo Mesh and Istio installations in each cluster.
    • Certificates Expiry: Validity timelines for your root and intermediate Istio certificates.
    • Cluster Services: Inventory of services across all clusters in your Gloo Mesh setup, and whether those services are in a service mesh or not.
    • Istio FIPS: FIPS compliance checks for the istiod control planes and Istio data plane workloads.
    • Zero Trust: Number of service mesh workloads that receive only mutual TLS (mTLS)-encrypted traffic, and number of external services that are accessed from the mesh.


    Figure: Gloo UI dashboard
    Figure: Gloo UI dashboard
    Figure: Gloo UI dashboard
    Figure: Gloo UI dashboard

Check insights

Review the insights for your environment. Gloo Mesh comes with an insights engine that automatically analyzes your Istio setups for health issues. These issues are displayed in the UI along with recommendations to harden your Istio setups. The insights give you a checklist to address issues that might otherwise be hard to detect across your environment.

  1. From the Dashboard, click on any of the insights cards to open the Insights page, or go to the Home > Insights page directly.

  2. On the Insights page, you can view recommendations to harden your Istio setup, and steps to implement them in your environment. Gloo Mesh analyzes your setup, and returns individual insights that contain information about errors and warnings in your environment, best practices you can use to improve your configuration and security, and more.

    Figure: Insights page
    Figure: Insights page
    Figure: Insights page
    Figure: Insights page

  3. Select the insight that you want to resolve. The details modal shows more data about the insight, such as the time when it was last observed in your environment, and if applicable, the extended settings or configuration that the insight applies to.

    Figure: Example insight
    Figure: Example insight

  4. Click the Target YAML tab to see the resource file that the insight references, and click the View Resolution Steps tab to see guidance such as steps for fixing warnings and errors in your resource configuration or recommendations for improving your security and setup.

Next steps

Now that you have Gloo Mesh and Istio up and running, check out some of the following resources to learn more about Gloo Mesh and expand your service mesh capabilities.

Istio:

For ambient installations, see Upgrade Gloo-managed ambient meshes or Upgrade ambient service meshes with Helm.

Gloo Mesh:

  • Customize your Gloo Mesh installation with a Helm-based setup.
    • Explore insights to review and improve your setup’s health and security posture.
    • When it’s time to upgrade Gloo Mesh, see the upgrade guide.

    Help and support:

    Cleanup

    If you no longer need this quick-start Gloo Mesh environment, you can follow the steps in the uninstall guide.