A method, comprising: accessing behavior data of at least one user in using one or more cloud resources provided by a cloud provider ; using the behavior data, generating a profile identifying cloud using characteristics of the at least one user or a cloud tenant associated with the at least one user, wherein generating the profile comprises accessing the behavior data of a user of the at least one user in using the one or more cloud resources and generating the profile according to the behavior data of the user in using the one or more cloud resources, wherein the profile includes one of a label identifying a cloud resource type used by the cloud user, a label identifying a cloud resource using habit of the cloud user, and a label identifying a cloud resource using mode of the cloud tenant; acquiring running status data of a cloud resource; transmitting the profile and the running status data of the cloud resource to a third-party Bot module , the third-party Bot module being an artificial intelligent, Al, module running on a third-party AI data platform , and in response to the transmitting, acquiring, from the Bot module, a cloud management suggestion to adjust one or more cloud resources based on a predicted future state that is predicted based on at least the profile and the running status data of the cloud resource, wherein the third-party Bot module performs analysis on the profile and the running status data to extract information and then generate the cloud management suggestion, the third-party Bot module being used for performing machine learning on the running status data and the profile to generate prediction data on a cloud resource running status for a period in the future, and to generate the cloud management suggestion for making adjustments on cloud resources based on such prediction data. accessing behavior data of at least one user in using one or more cloud resources provided by a cloud provider ; using the behavior data, generating a profile identifying cloud using characteristics of the at least one user or a cloud tenant associated with the at least one user, wherein generating the profile comprises accessing the behavior data of a user of the at least one user in using the one or more cloud resources and generating the profile according to the behavior data of the user in using the one or more cloud resources, wherein the profile includes one of a label identifying a cloud resource type used by the cloud user, a label identifying a cloud resource using habit of the cloud user, and a label identifying a cloud resource using mode of the cloud tenant; acquiring running status data of a cloud resource; transmitting the profile and the running status data of the cloud resource to a third-party Bot module , the third-party Bot module being an artificial intelligent, Al, module running on a third-party AI data platform , and in response to the transmitting, acquiring, from the Bot module, a cloud management suggestion to adjust one or more cloud resources based on a predicted future state that is predicted based on at least the profile and the running status data of the cloud resource, wherein the third-party Bot module performs analysis on the profile and the running status data to extract information and then generate the cloud management suggestion, the third-party Bot module being used for performing machine learning on the running status data and the profile to generate prediction data on a cloud resource running status for a period in the future, and to generate the cloud management suggestion for making adjustments on cloud resources based on such prediction data. <EOS>