Auto scaling method based on cloud management platform and cloud management platform

A compute device cluster, comprising:

• a memory to store instructions;
• and
• a processor, operatively coupled to the memory, to:
• receive, through a network interface, an auto scaling formula that is input by a tenant for a scaling group, wherein the auto scaling formula comprises a variable that indicates current load of the scaling group, a target load indicator of the scaling group, and an operator, and the variable, the target load indicator of the scaling group, and the operator are used to determine a target capacity of the scaling group;
• obtain a current load indicator of the scaling group, substitute the current load indicator into the variable, and determine the target capacity of the scaling group according to the auto scaling formula;
• and
• adjust the scaling group based on the target capacity, wherein a capacity of an adjusted scaling group matches the target capacity.

A non-transitory computer-readable storage medium including instructions that, when executed by a computer device, cause the computer device to:

• receive, through a network interface, an auto scaling formula that is input by a tenant for a scaling group, wherein the auto scaling formula comprises a variable that indicates current load of the scaling group, a target load indicator of the scaling group, and an operator, and the variable, the target load indicator of the scaling group, and the operator are used to determine a target capacity of the scaling group;
• obtain a current load indicator of the scaling group, substitute the current load indicator into the variable, and determine the target capacity of the scaling group according to the auto scaling formula;
• and
• adjust the scaling group based on the target capacity, wherein a capacity of an adjusted scaling group matches the target capacity.