Hi Flink community, We are trying to use Flink’s reactive mode with Kubernetes HPA for autoscaling, however since the reactive mode will always use all available resources, it causes a problem when we need standby task managers for fast failure recover: The job will always use these extra standby task managers as active task manager to process data.
I wonder if you have any suggestion on this, should we avoid using Flink reactive mode together with standby task managers? Best, Wei
