The GatewayClass name is an architecture decision
GatewayClass selection is easiest to understand by separating the Kubernetes contract from the Google Cloud implementation. GKE ships several classes because Cloud Load Balancing has distinct global, regional, external and internal products. Multi-cluster classes end in -mc. 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 -o wide`. 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: Class names and capability matrices evolve; validate the exact filters, policies and address types supported before standardizing. The safe habit is to verify quotas, regional availability and feature support against current Google Cloud documentation before rollout. A worked HTTPS route makes the resource relationships tangible.