1. Enable Required APIs:
Ensure the necessary Google Cloud APIs are enabled for your project:
- Compute Engine API
- Kubernetes Engine API
- GKE Hub API
- Multi-cluster Ingress API
You can enable these through the Google Cloud Console or by using the gcloud command-line tool.
2. Prepare Your GKE Clusters:
- Create or select existing GKE clusters in different regions to set up a multi-cluster environment.
- Register your clusters with a Google Cloud fleet if not already done. This step is crucial for MCI.
3. Grant IAM Permissions:
Ensure the Google Cloud account or service account you're using has the necessary roles:
- roles/container.admin (GKE Admin)
- roles/gkehub.admin (GKE Hub Admin)
- roles/compute.networkAdmin (Compute Network Admin)
These roles are needed to configure MCI and related resources.
4. Configure Multi-cluster Ingress:
- Install the `gcloud` beta components if you haven't already:
`gcloud components install beta`
- Use `gcloud` to create a multi-cluster ingress. This step involves defining the global load balancer that will route traffic to your services across clusters.
5. Deploy Your Application:
- Deploy your application to the clusters you want to include in the MCI setup.
- Ensure that each application instance is exposed via a Kubernetes Service of type ClusterIP or NodePort.
6. Define MultiClusterService:
- Create a MultiClusterService (MCS) resource for each Kubernetes Service you want to expose through MCI. This step makes your services discoverable across clusters.
7. Deploy MultiClusterIngress:
- Define and deploy a MultiClusterIngress (MCI) resource that specifies how external traffic should be routed to your multi-cluster services.
8. Apply FrontendConfig and BackendConfig (Optional):
- If needed, define and apply FrontendConfig for custom frontend settings like SSL policies.
- Define and apply BackendConfig to customize backend settings, such as health checks and session affinity.
Steps:
- Enable Required APIs:Bash
gcloud services enable gkehub.googleapis.com gcloud services enable anthos.googleapis.com gcloud services enable multiclusteringress.googleapis.com
- Provision GKE Clusters (2 or more):Use the Cloud SDK’s
gcloud container clusters create
command to create GKE clusters in geographically distributed regions. Ensure Workload Identity Federation is enabled for seamless communication between clusters.Example for a cluster namedgke-us
in theus-central1
region:Bashgcloud container clusters create gke-us \ --region=us-central1 \ --enable-workload-identity \ --workload-pool=PROJECT_ID.svc.id.goog \ --release-channel=stable \ --project=PROJECT_ID
Repeat for additional clusters, replacing region and names accordingly. - Register Clusters to a Fleet:Create a fleet in your project to manage your GKE clusters:Bash
gcloud multi-cluster ingress fleets create my-fleet \ --project=PROJECT_ID
Use codeĀ with caution.content_copyRegister each cluster to the fleet using its location and name:Bashgcloud container hub memberships register gke-us \ --gke-cluster=us-central1/gke-us \ --enable-workload-identity # Repeat for other clusters (replace names and locations)
- Select a Config Cluster:Choose a GKE cluster to act as the central configuration cluster. This cluster will manage MCI resources.
- Deploy Applications (Optional):Deploy your applications to the desired GKE clusters using Kubernetes deployment manifests.
- Create MultiClusterService Resources:In the config cluster, define
MultiClusterService
resources that specify backend services across registered clusters. These services will be targeted by the MCI.
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