1. A method for proactively identifying hotspots in a cloud computing environment, comprising: identifying parameters associated with a workload running in the cloud computing environment; correlating server, storage, and network data to identify resources, of a plurality of resources, involved for each workload of a plurality of workloads running in the cloud computing environment; creating a regression based model based on the correlation of the server, storage, and network data; predicting an amount of load that the plurality of workloads will generate in the future through a time-series based workload trend model; detecting at least one potential hotspot in the cloud computing environment using the time-series based workload trend model and the regression based model; and provisioning at least one resource of the cloud computing environment for the workload in response to the detecting so as to minimize triggering the at least one potential hotspot.