This page describes the Google Kubernetes Engine (GKE) implementation of the Kubernetes Gateway API using the GKE Gateway controller. To deploy Gateways in GKE, see Deploying Gateways or Deploying multi-cluster Gateways.
The Gateway API is an open source standard for service networking. The Gateway API evolves the Ingress resource and improves upon it in the following ways:
Role-oriented: Gateway is composed of API resources that correspond to the organizational roles of cluster operator, developer, and infrastructure provider. This allows cluster operators to define how shared infrastructure can be used by many different and non-coordinating developer teams.
Portable: The Gateway API is an open source standard with many implementations. It's designed by using the concept of flexible conformance, which promotes a highly portable core API (like Ingress) that still has the flexibility and extensibility to support native capabilities of the environment and implementation. This enables the concepts and core resources to be consistent across implementations and environments, reducing complexity and increasing user familiarity.
Expressive: The Gateway API resources provide built-in capabilities for header-based matching, traffic weighting, and other capabilities that are only possible in Ingress through custom annotations.
Gateway API resources
The Gateway API is a role-oriented resource model, designed for the personas who interact with Kubernetes networking. As shown by the following diagram, this model enables different non-coordinating service owners to share the same underlying network infrastructure safely in a way that centralizes policy and control for the platform administrator.
The Gateway API contains the following resource types:
- GatewayClass: Defines a cluster-scoped resource that's a template for creating load balancers in a cluster. GKE provides GatewayClasses that can be used in GKE clusters.
- Gateway: Defines where and how the load balancers listen for traffic. Cluster operators create Gateways in their clusters based on a GatewayClass. GKE creates load balancers that implement the configuration defined in the Gateway resource.
- HTTPRoute: Defines protocol-specific rules for routing requests from a Gateway to Kubernetes services. GKE supports HTTPRoutes for HTTP(S)-based traffic routing. Application developers create HTTPRoutes to expose their HTTP applications using Gateways.
- Policy: Defines a set of implementation-specific characteristics of a Gateway resource. You can attach a policy to a Gateway, a Route, or a Kubernetes Service.
A GatewayClass is a resource that defines a template for HTTP(S) (level 7) load balancers in a Kubernetes cluster. GKE provides GatewayClasses as cluster-scoped resources. Cluster operators specify a GatewayClass when creating Gateways in their clusters.
The different GatewayClasses correspond to different Google Cloud load balancers. When you create a Gateway based on a GatewayClass, a corresponding load balancer is created to implement the specified configuration. Some GatewayClasses support multi-cluster load balancing.
The following table lists the GatewayClasses available in GKE clusters and their underlying load balancer type. For complete details on the GatewayClasses, see the GatewayClass capabilities and specifications.
||Global external Application Load Balancer(s) built on the global external Application Load Balancer|
||Regional external Application Load Balancer(s) built on the regional external Application Load Balancer|
||Internal Application Load Balancer(s) built on the internal Application Load Balancer|
||Global external Application Load Balancer(s) built on the classic Application Load Balancer|
||Multi-cluster Global external Application Load Balancer(s) built on the global external Application Load Balancer|
||Multi-cluster Regional external Application Load Balancer(s) built on the global external Application Load Balancer|
||Multi-cluster Internal Application Load Balancer(s) built on the internal Application Load Balancer|
||Multi-cluster Global external Application Load Balancer(s) built on the classic Application Load Balancer|
||Multi-cluster Traffic Director service mesh|
||Global external Application Load Balancer(s) built on Anthos Service Mesh|
Each GatewayClass is subject to the limitations of the underlying load balancer.
Cluster operators create Gateways to define where and how the load balancers listen for traffic. Gateways take their behavior (that is, how they are implemented) from their associated GatewayClass.
The Gateway specification includes the GatewayClass for the Gateway, which ports and protocols to listen on, and which Routes can bind to the Gateway. A Gateway selects routes based on the Route metadata; specifically the kind, namespace, and labels of Route resources.
An HTTPRoute defines how HTTP and HTTPS requests received by a Gateway are directed to Services. Application developers create HTTPRoutes to expose their applications through Gateways.
An HTTPRoute defines which Gateways it can route traffic from, which Services to route to, and rules that define what traffic the HTTPRoute matches. Gateway and Route binding is bidirectional, which means that both resources must select each other for them to bind. HTTPRoutes can match requests based on details in the request header.
A Policy defines characteristics of a Gateway resource, typically implementation-specific, that cluster operators can attach to a Gateway, a Route, or a Kubernetes Service. A Policy defines how the underlying Google Cloud infrastructure should function.
A Policy is typically attached to a namespace and can reference a resource in the same namespace and access is granted using RBAC. The hierarchical nature of the Gateway API lets you to attach a Policy to a top resource (Gateway) in a namespace, and have all the resources underneath in different namespaces receive the characteristics of that policy.
The GKE Gateway controller supports the following Policies:
HealthCheckPolicy: defines the parameters and behavior of the health check used to check the health status of the backend Pods.
GCPGatewayPolicy: defines specific parameters of the frontend of the Google Cloudload balancer. This is similar to a
FrontendConfigfor an Ingress resource.
GCPBackendPolicy: defines how the backend services of the load balancer should distribute the traffic to the endpoints. This is similar to a
BackendConfigfor an Ingress resource.
Gateway ownership and usage patterns
Gateway and Route resources provide flexibility in how they are owned and deployed within an organization. This means that a single load balancer can be deployed and managed by an infrastructure team, but routing under a particular domain or path can be delegated to another team in another Kubernetes Namespace. The GKE Gateway controller supports multi-tenant usage of a load balancer, shared across Namespaces, clusters, and regions. Gateways also don't have to be shared if more distributed ownership is required. The following are some of the most common usage patterns for Gateways in GKE.
A single owner can deploy a Gateway and Route just for their applications and use them exclusively. Gateways and Routes deployed in this manner are similar to Ingress. The following diagram shows two different service owners who deploy and manage their own Gateways. Similar to Ingress, each Gateway corresponds to its own unique IP address and load balancer. TLS, routing, and other policies are fully controlled by the service owner.
This usage pattern is common for Ingress but is challenging to scale across many teams because of the lack of shared resources. The Gateway API resource model enables following usage patterns which provide a spectrum of options for distributed control and ownership.
Platform-managed Gateway per Namespace
Separation between Gateway and Route resources lets platform administrators control Gateways on behalf of service owners. Platform admins can deploy a Gateway per Namespace or team, giving that Namespace exclusive access to use the Gateway. This gives the service owner full control over the routing rules without any risk of conflict from other teams. This lets the platform administrator control aspects such as IP allocation, port exposure, protocols, domains, and TLS. Platform admins can also decide which kinds of Gateways are available to teams, such as internal or external Gateways. This usage pattern creates a clean separation of responsibilities between different roles.
Cross-Namespace routing is what lets Routes to attach to Gateways across Namespace boundaries. Gateways can restrict from which Namespaces Routes can attach. Similarly, Routes specify the Gateways that they attach to, but they can only attach to a Gateway that has permitted the Route's Namespace. This bi-directional attachment provides each side with flexible controls that enable this diversity of usage patterns.
In the following diagram, the platform administrator has deployed a Gateway for exclusive
access for each Namespace. For example, the
store Gateway is configured so
that only Routes from the
store Namespace can attach to it. Each Gateway
represents a unique, load balanced IP address and so it lets each team deploy
any number of Routes against the Gateway for any domains or routes it chooses.
Shared Gateway per cluster
Sharing Gateways across Namespaces offers an even more centralized form of ownership to platform administrators. This lets different service owners, running in different Namespaces, share the same IP address, DNS domain, certificates, or paths for fine grained routing between services. Gateways provide control to platform administrators over which Namespaces can route for a specific domain. This is similar to the previous example except Gateways permit Route attachment from more than one Namespace.
In the following diagram, the platform administrator has deployed two Gateways into the
infra Namespace. The
external Gateway permits Routes from the
mobile Namespaces to attach to the Gateway. Routes from the
Namespace cannot use the
external Gateway because the
accounts Namespace is only for
internal services. The
internal Gateway lets internal clients communicate privately
within the VPC using private IP addresses.
m.example.com domain is delegated to the
mobile Namespace which lets
mobile service owners configure any routing rules they need under the
m.example.com domain. This gives the service owners a greater degree of
control for introducing new API endpoints and controlling traffic without
requesting a change from administrators.
Shared Gateway per Fleet
Using multi-cluster Gateways,
a Gateway can be shared across both Namespaces, clusters, and
regions. Large organizations with geographically distributed apps might benefit
from multi-cluster Gateways because they can granularly control global traffic
while also delegating routing ownership. Similar to the previous examples, a
platform administrator manages the Gateway and delegates routing. The major
addition to this use case is that Routes reference multi-cluster Services, which
are deployed across clusters. Traffic can be routed in an explicit
manner, traffic to
store.example.com/us goes to
gke-us Pods, or in an
implicit manner, traffic to
example.com/* gets routed to the closest cluster
to the client. This flexibility lets service owners define the optimal routing
strategy for their application.
GKE Gateway controller
The GKE Gateway controller is Google's implementation of the Gateway API for Cloud Load Balancing. Similar to the GKE Ingress controller, the Gateway controller watches a Kubernetes API for Gateway API resources and reconciles Cloud Load Balancing resources to implement the networking behavior specified by the Gateway resources.
There are two versions of the GKE Gateway controller:
- Single-cluster: manages single-cluster Gateways for a single GKE cluster.
- Multi-cluster: manages multi-cluster Gateways for one or more GKE clusters.
Both Gateway controllers are Google-hosted controllers that watch the Kubernetes API for GKE clusters. Unlike the GKE Ingress controller, the Gateway controllers are not hosted on GKE control planes or in the user project, enabling them to be more scalable and robust. Both Gateway controllers are Generally Available.
The Gateway controllers themselves are not a networking data plane and they do not process any traffic. They sit out of band from traffic and manage various data planes that process traffic. The following diagram shows the architecture of the single-cluster and multi-cluster GKE Gateway controllers. The underlying controller that is used depends on the GatewayClass of the deployed Gateway.
|Controller||Single-cluster Gateway controller||Multi-cluster Gateway controller|
|Cluster scope||Single cluster Gateways||Multi-cluster Gateways|
|Deployment location||Deployed regionally in the same region as its GKE cluster.||Deployed globally across multiple Google Cloud regions.|
|How to enable||Enabled by default in GKE.||Enabled through the Multi Cluster Ingress API and registration into a fleet. See Enabling multi-cluster Gateways.|
You can use multiple Gateway controllers, including controllers not provided by Google, in a GKE cluster simultaneously. Every GatewayClass is supported by one and only one Gateway controller, which enables single and multi-cluster load balancing to be used simultaneously.
Ingress and Gateway
Comparison of Ingress and Gateway
Gateway and Ingress are both open source standards for routing traffic. Gateway was designed by the Kubernetes community, drawing on lessons learned from the Ingress and the service mesh ecosystems. Gateway is an evolution of Ingress that provides the same function, delivered as a superset of the Ingress capabilities. Both can be used simultaneously without conflict, though over time Gateway and Route resources will deliver more capabilities not available in Ingress, compelling users to start using Gateway where they might have previously used Ingress.
In GKE all Ingress resources are directly convertible to Gateway and HTTPRoute resources. A single Ingress corresponds to both a Gateway (for frontend configuration) and an HTTPRoute (for routing configuration). The following example shows what the corresponding Gateway and HTTPRoute configuration looks like. Note that the Gateway and HTTPRoute resources can be created separately, also by different users. Gateways can have many Routes and a Route can also attach to more than one Gateway. The relationships between Gateways and Routes is discussed in Gateway usage patterns.
apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: my-ingress annotations: kubernetes.io/ingress.class: "gce-internal" spec: rules: - host: "example.com" http: paths: - pathType: Prefix path: / backend: service: name: site port: number: 80 - pathType: Prefix path: /shop backend: service: name: store port: number: 80
apiVersion: gateway.networking.k8s.io/v1beta1 kind: Gateway metadata: name: my-gateway spec: gatewayClassName: gke-l7-rilb listeners: - name: http protocol: HTTP port: 80 allowedRoutes: kinds: - kind: HTTPRoute
apiVersion: gateway.networking.k8s.io/v1beta1 kind: HTTPRoute metadata: name: my-route spec: parentRefs: - name: my-gateway hostnames: - "example.com" rules: - matches: - path: value: / backendRefs: - name: site port: 80 - matches: - path: value: /shop backendRefs: - name: store port: 80
Integrating the Gateway API with Service Meshes
You can configure a Traffic Director service mesh using the Gateway API. This enables service-to-service communications, traffic management, global load balancing, and security policy enforcement for service mesh use cases. For complete information on using Traffic Director with the Gateway API, including deployment setup guides, see Traffic Director GKE service mesh overview.
All Compute Engine resources deployed through the Gateway controllers are charged against the project in which your GKE clusters reside. The single-cluster Gateway controller is offered at no additional charge as a part of GKE Standard and Autopilot pricing. Pricing for multi-cluster Gateways is described in the Multi Cluster Ingress and Gateway pricing page.
- Learn how to Configure Gateway resources using Policies
- Learn about Deploying Gateways.
- Learn about Deploying multi-cluster Gateways.
- For complete information on using Traffic Director with the Gateway API, see Traffic Director GKE service mesh overview.