Abstract: A method comprises analyzing metrics corresponding to operation of a first node in a first data center using at least one machine learning algorithm, predicting, based at least in part on the analyzing of the metrics, whether the operation of the first node is anomalous, designating the first node as being in an anomalous state responsive to predicting that the operation of the first node is anomalous, and causing routing of one or more database transactions to a second node in a second data center instead of the first node in response to the anomalous state designation.