Rebooting an Amazon Aurora DB cluster or Amazon Aurora DB instance

You might need to reboot your DB cluster or some instances within the cluster, usually for maintenance reasons. For example, suppose that you modify the parameters within a parameter group or associate a different parameter group with your cluster. In these cases, you must reboot the cluster for the changes to take effect. Similarly, you might reboot one or more reader DB instances within the cluster. You can arrange the reboot operations for individual instances to minimize downtime for the entire cluster.

The time required to reboot each DB instance in your cluster depends on the database activity at the time of reboot. It also depends on the recovery process of your specific DB engine. If it's practical, reduce database activity on that particular instance before starting the reboot process. Doing so can reduce the time needed to restart the database.

You can only reboot each DB instance in your cluster when it's in the available state. A DB instance can be unavailable for several reasons. These include the cluster being stopped state, a modification being applied to the instance, and a maintenance-window action such as a version upgrade.

Rebooting a DB instance restarts the database engine process. Rebooting a DB instance results in a momentary outage, during which the DB instance status is set to rebooting.