In real workflows, cloud APIs often return before the resource is actually usable. For example, your flow might create an instance and immediately try to attach storage or run a configuration step, only to fail because the instance is still booting or the resource state has not converged.

AWS has native waiters for some APIs, but they cover only a small subset of services and operations. In Google Cloud, you generally don’t get an equivalent out of the box, which pushes teams toward brittle sleep steps and custom retry loops.

You can now add a “waiter” to cloud API actions so CloudFlow pauses until the resource reaches the state you need, then continues automatically. This reduces fragile retry logic and makes multi-step automations behave consistently across AWS and Google Cloud.

A waiter is tied to the specific action you’re running and waits on a defined target state before the next step runs. You enable the waiter on the action, choose what to wait for, and optionally tune the polling behavior for faster or more conservative checks. If the waiter needs extra inputs to verify readiness, you provide those parameters as part of the waiter configuration.

To get started, review the "Add a Waiter" article.