Customized coordinated scaling of cloud-based applications and backend resources

A computerized method of coordinated scaling of a cloud-based software application and a backend resource in a networked computing environment, the method comprising:

• capturing, by a server computing device, usage metrics associated with one or more cloud-based software applications, each cloud-based software application comprising one or more application containers;
• capturing, by the server computing device, usage metrics associated with one or more backend resources that being used by the one or more cloud-based software applications;
• aggregating, by the server computing device, the usage metrics associated with the one or more cloud-based software applications and the usage metrics associated with the one or more backend resources to generate a set of integrated application-level usage metrics, comprising:
• identifying, for each cloud-based software application, one or more resources of the backend resources being used by the cloud-based software application, based upon metadata associated with the cloud-based software application, and
• matching, for each cloud-based software application, the usage data associated with the identified resources of the backend resources to the usage data for the cloud-based software application;
• determining, by the server computing device for each of the one or more cloud-based software applications, a current resource consumption level based upon the integrated application-level usage metrics for the cloud-based software application;
• comparing, by the server computing device for each of the one or more cloud-based software applications, the current resource consumption level to a desired resource consumption level for the cloud-based software application;
• and
• changing, by the server computing device for each of the one or more cloud-based software applications, one or more of:
• a CPU resource availability for the cloud-based software application, a memory resource availability for the cloud-based software application, a number of application containers in the cloud-based software application, a latency score for the cloud-based software application, or a priority level for the cloud-based software application, based upon a difference between the current resource consumption level and the desired resource consumption level.