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Delete an Aurora DB Cluster

A 4-step recipe with Amazon RDS. We can help you get access.

Recipe · 4 steps

Delete an Aurora DB Cluster

with Amazon RDS · IT Infrastructure Management

Delete an Aurora cluster member then the cluster with a final snapshot.

  1. Describe the Aurora DB cluster to confirm it is available before tearing it down.
  2. Delete the cluster member instance, skipping a per-instance final snapshot since a cluster-level snapshot is taken later.
  3. Describe the member instance to track its teardown. While it is still deleting the workflow loops back to poll again; once it reports deleting it proceeds to remove the cluster.
  4. Delete the Aurora DB cluster, retaining a final cluster snapshot rather than skipping it.
What you'll need to have ready
  • dbClusterIdentifier: The identifier of the Aurora DB cluster to delete.
  • dbInstanceIdentifier: The identifier of the cluster member instance to delete first.
  • finalDbSnapshotIdentifier: The identifier for the final cluster snapshot taken during deletion.
For your developer

Arazzo workflow amazon-rds:delete-aurora-cluster, 4 operations: DescribeDBClusters → DeleteDBInstance → DescribeDBInstances → DeleteDBCluster. Specs on APIs.io.

More recipes with Amazon RDS

Add an Aurora Replica InstanceClean Up a DB SnapshotSnapshot and Rebuild a DB InstanceConvert Instance to Multi-AZEnable Backup RetentionModify a DB Instance ClassProvision an Aurora DB ClusterProvision a DB InstanceReboot a DB InstanceRotate Master Password