This page shows you how to route traffic across multiple Google Kubernetes Engine (GKE) clusters in different regions using Multi Cluster Ingress, with an example using two clusters.
For a detailed comparison between Multi Cluster Ingress (MCI), Multi-cluster Gateway (MCG), and load balancer with Standalone Network Endpoint Groups (LB and Standalone NEGs), see Choose your multi-cluster load balancing API for GKE.
To learn more about deploying Multi Cluster Ingress, see Deploying Ingress across clusters.
These steps require elevated permissions and should be performed by a GKE administrator.
Before you begin
Before you start, make sure you have performed the following tasks:
- Enable the Google Kubernetes Engine API. Enable Google Kubernetes Engine API
- If you want to use the Google Cloud CLI for this task,
install and then
initialize the
gcloud CLI. If you previously installed the gcloud CLI, get the latest
version by running
gcloud components update
.
Requirements and limitations
Multi Cluster Ingress has the following requirements:
- Google Cloud CLI version 290.0.0 and later.
If you use Standard mode clusters, ensure that you meet the following requirements. Autopilot clusters already meet these requirements.
- Clusters must have the
HttpLoadBalancing
add-on enabled. This add-on is enabled by default, you must not disable it. - Clusters must be VPC-native.
- Clusters must have Workload Identity Federation for GKE enabled.
Multi Cluster Ingress has the following limitations:
- Only supported with an external Application Load Balancer.
- Don't create Compute Engine load balancers in the same project with
the prefix
mci-
that are not managed by Multi Cluster Ingress or they will be deleted. Google Cloud uses the prefixmci-[6 char hash]
to manage the Compute Engine resources that Multi Cluster Ingress deploys. - Configuration of HTTPS requires a pre-allocated static IP address. HTTPS is not supported with ephemeral IP addresses.
Overview
In this exercise, you perform the following steps:
- Select the pricing you want to use.
- Deploy clusters.
- Configure cluster credentials.
- Register the clusters to a fleet.
- Specify a config cluster. This cluster can be a dedicated control plane, or it can run other workloads.
The following diagram shows what your environment will look like after you complete the exercise:
In the diagram, there are two GKE clusters named gke-us
and
gke-eu
in the regions europe-west1
and us-central1
. The clusters are
registered to a fleet so that the Multi Cluster Ingress controller can recognize
them. A fleet lets you logically group and normalize your GKE clusters, making administration of infrastructure easier and enabling the use of multi-cluster features such as Multi Cluster Ingress. You can learn more about the benefits of fleets and how to create them in the fleet management documentation.
Select pricing
If Multi Cluster Ingress is the only GKE Enterprise capability that you are using, then we recommend that you use standalone pricing. If your project is using other GKE Enterprise on Google Cloud components or capabilities, you should enable the entire GKE Enterprise platform. This lets you use all GKE Enterprise features for a single per-vCPU charge.
The APIs that you must enable depend on the Multi Cluster Ingress pricing that you use.
- If the GKE Enterprise API (
anthos.googleapis.com
) is enabled, then your project is billed according to the number of cluster vCPUs and GKE Enterprise pricing. - If the GKE Enterprise API is disabled, then your project is billed according to the number of backend Multi Cluster Ingress pods in your project.
You can change the Multi Cluster Ingress billing model from standalone to GKE Enterprise, or from GKE Enterprise to standalone at any time without impacting Multi Cluster Ingress resources or traffic.
Standalone pricing
To enable standalone pricing, perform the following steps:
Confirm that the GKE Enterprise API is disabled in your project:
gcloud services list --project=PROJECT_ID | grep anthos.googleapis.com
Replace
PROJECT_ID
with the project ID where your GKE clusters are running.If the output is an empty response, the GKE Enterprise API is disabled in your project and any Multi Cluster Ingress resources are billed using standalone pricing.
Enable the required APIs in your project:
gcloud services enable \ multiclusteringress.googleapis.com \ gkehub.googleapis.com \ container.googleapis.com \ multiclusterservicediscovery.googleapis.com \ --project=PROJECT_ID
GKE Enterprise pricing
To enable GKE Enterprise pricing, enable the required APIs in your project:
gcloud services enable \
anthos.googleapis.com \
multiclusteringress.googleapis.com \
gkehub.googleapis.com \
container.googleapis.com \
multiclusterservicediscovery.googleapis.com \
--project=PROJECT_ID
After anthos.googleapis.com
is enabled in your project, any clusters
registered to Connect are billed according to
GKE Enterprise pricing.
Deploy clusters
Create two GKE clusters named gke-us
and gke-eu
in the
europe-west1
and us-central1
regions.
Autopilot
Create the
gke-us
cluster in theus-central1
region:gcloud container clusters create-auto gke-us \ --region=us-central1 \ --release-channel=stable \ --project=PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project ID.Create the
gke-eu
cluster in theeurope-west1
region:gcloud container clusters create-auto gke-eu \ --region=europe-west1 \ --release-channel=stable \ --project=PROJECT_ID
Standard
Create the two clusters with Workload Identity Federation for GKE enabled.
Create the
gke-us
cluster in theus-central1
region:gcloud container clusters create gke-us \ --region=us-central1 \ --enable-ip-alias \ --workload-pool=PROJECT_ID.svc.id.goog \ --release-channel=stable \ --project=PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project ID.Create the
gke-eu
cluster in theeurope-west1
region:gcloud container clusters create gke-eu \ --region=europe-west1 \ --enable-ip-alias \ --workload-pool=PROJECT_ID.svc.id.goog \ --release-channel=stable \ --project=PROJECT_ID
Configure cluster credentials
Configure credentials for your clusters and rename the cluster contexts to make it easier to switch between clusters when deploying resources.
Retrieve the credentials for your clusters:
gcloud container clusters get-credentials gke-us \ --region=us-central1 \ --project=PROJECT_ID gcloud container clusters get-credentials gke-eu \ --region=europe-west1 \ --project=PROJECT_ID
The credentials are stored locally so that you can use your kubectl client to access the cluster API servers. By default, an auto-generated name is created for the credentials.
Rename the cluster contexts:
kubectl config rename-context gke_PROJECT_ID_us-central1_gke-us gke-us kubectl config rename-context gke_PROJECT_ID_europe-west1_gke-eu gke-eu
Register clusters to a fleet
Register your clusters to your project's fleet as follows.
Register your clusters:
gcloud container fleet memberships register gke-us \ --gke-cluster us-central1/gke-us \ --enable-workload-identity \ --project=PROJECT_ID gcloud container fleet memberships register gke-eu \ --gke-cluster europe-west1/gke-eu \ --enable-workload-identity \ --project=PROJECT_ID
Confirm that your clusters have successfully been registered to the fleet:
gcloud container fleet memberships list --project=PROJECT_ID
The output is similar to the following:
NAME EXTERNAL_ID gke-us 0375c958-38af-11ea-abe9-42010a800191 gke-eu d3278b78-38ad-11ea-a846-42010a840114
After you register your clusters, GKE deploys the gke-mcs-importer
Pod to your cluster.
You can learn more about registering clusters in Register a GKE cluster to your fleet.
Specify a config cluster
The config cluster is a GKE cluster you choose to be the central point of control for Ingress across the member clusters. This cluster must already be registered to the fleet. For more information, see Config cluster design.
Enable Multi Cluster Ingress and select gke-us
as the config cluster:
gcloud container fleet ingress enable \
--config-membership=gke-us \
--location=us-central1 \
--project=PROJECT_ID
The config cluster takes up to 15 minutes to register. Successful output is similar to the following:
Waiting for Feature to be created...done.
Waiting for controller to start...done.
The unsuccessful output is similar to the following:
Waiting for controller to start...failed.
ERROR: (gcloud.container.fleet.ingress.enable) Controller did not start in 2 minutes. Please use the `describe` command to check Feature state for debugging information.
If a failure occurred in the previous step, then check the feature state:
gcloud container fleet ingress describe \
--project=PROJECT_ID
The successful output is similar to the following:
createTime: '2021-02-04T14:10:25.102919191Z'
membershipStates:
projects/PROJECT_ID/locations/global/memberships/CLUSTER_NAME:
state:
code: ERROR
description: '...is not a VPC-native GKE Cluster.'
updateTime: '2021-08-10T13:58:50.298191306Z'
projects/PROJECT_ID/locations/global/memberships/CLUSTER_NAME:
state:
code: OK
updateTime: '2021-08-10T13:58:08.499505813Z'
To learn more about troubleshooting errors with Multi Cluster Ingress, see Troubleshooting and operations.
Impact on live clusters
You can safely enable Multi Cluster Ingress using gcloud container fleet ingress enable
on a live cluster, as it does not result in any downtime or impact to traffic on the cluster.
Shared VPC
You can deploy a MultiClusterIngress
resource for clusters in a
Shared VPC network, but all the participating backend GKE
clusters must be in the same project. Having GKE clusters in
different projects using the same Cloud Load Balancing VIP is not supported.
In non-Shared VPC networks, the Multi Cluster Ingress controller manages firewall rules to allow health checks to pass from the load balancer to container workloads.
In a Shared VPC network, a host project administrator must manually create the firewall rules for load balancer traffic on behalf of the Multi Cluster Ingress controller.
The following command shows the firewall rule that you must create if your
clusters are on a Shared VPC network. The source ranges are the ranges
that load balancer uses to send traffic to backends. This rule must exist for
the operational lifetime of a MultiClusterIngress
resource.
If your clusters are on a Shared VPC network, create the firewall rule:
gcloud compute firewall-rules create FIREWALL_RULE_NAME \
--project=HOST_PROJECT \
--network=SHARED_VPC \
--direction=INGRESS \
--allow=tcp:0-65535 \
--source-ranges=130.211.0.0/22,35.191.0.0/16
Replace the following:
FIREWALL_RULE_NAME
: the name of the new firewall rule that you choose.HOST_PROJECT
: the ID of the Shared VPC host project.SHARED_VPC
: the name of the Shared VPC network.
Known issues
This section describes known issues for the Multi Cluster Ingress
InvalidValueError for field config_membership
A known issue prevents the Google Cloud CLI from interacting with Multi Cluster Ingress. This issue was introduced in version 346.0.0 and was fixed in version 348.0.0. We don't recommend using the gcloud CLI versions 346.0.0 and 347.0.0 with Multi Cluster Ingress.
Invalid value for field 'resource'
Google Cloud Armor cannot communicate with Multi Cluster Ingress config clusters running on the following GKE versions:
- 1.18.19-gke.1400 and later
- 1.19.10-gke.700 and later
- 1.20.6-gke.700 and later
When you configure a Google Cloud Armor security policy, the following message appears:
Invalid value for field 'resource': '{"securityPolicy": "global/securityPolicies/"}': The given policy does not exist
To avoid this issue, upgrade your config cluster
to version 1.21 or later, or use the following command to update the
BackendConfig CustomResourceDefinition
:
kubectl patch crd backendconfigs.cloud.google.com --type='json' -p='[{"op": "replace", "path": "/spec/versions/1/schema/openAPIV3Schema/properties/spec/properties/securityPolicy", "value":{"properties": {"name": {"type": "string"}}, "required": ["name" ],"type": "object"}}]'