1. A system comprising: an open time-series database; a scheduler; a monitoring agent executable by one or more processors and configured to monitor clusters of nodes in a network and store monitored data in the open time-series database; an offline training module comprising: a data collection and preprocessing module configured to collect first data from the open time-series database and to label the first data as training data; and a machine learning model building module configured to build a model through machine learning using the training data; a real-time testing module comprising: a data collection and preprocessing module configured to collect second data from the open time-series database and to leave the second data as unlabeled; and a predictive model engine configured to compute anomalies in the unlabeled data using the model built by the machine learning model and to output prediction outcomes and metrics to the scheduler; and the scheduler configured to use the prediction outcomes and metrics to move or reduce workloads from problematic clusters of nodes in the network.