Methods, systems, and computer-readable storage media for an autoscaling framework that uses a multi-tenant interference model for selectively scaling resources in container orchestration systems based on an estimated performance, an actual performance, and a violation count of each resource unit of a plurality of resource units. In some implementations, the autoscaling framework of the present disclosure mitigates length of response times in applications composed of a set of services.