Gateway API separates infrastructure from routes
Gateway orientation is easiest to understand by separating the Kubernetes contract from the Google Cloud implementation. Gateway API replaces annotation-heavy ingress design with explicit resources and ownership. GKE's controllers are Google-hosted and program Cloud Load Balancing. The Kubernetes objects stay familiar, but GKE supplies controllers, infrastructure and safe defaults around them. This is why a team can move from an on-premises cluster without rewriting every workload, while still needing to redesign networking, identity and operational ownership for the cloud environment.
A useful inspection step is `kubectl get gatewayclass`. Read the output as evidence, not as a ritual: first confirm the desired object exists, then look at status conditions, events and the Google Cloud resource it represents. In production, capture the expected result in a runbook or automated check so an operator can distinguish slow reconciliation from a configuration error.
Production gotcha: Each GatewayClass inherits the capabilities and limits of its underlying load balancer. The safe habit is to verify quotas, regional availability and feature support against current Google Cloud documentation before rollout. First, map the resource chain.