COMPUTER-BASED PROVISIONING OF CLOUD RESOURCES

In an approach to improve enhancing the provisioning cloud resources, embodiments receive a set of potential cloud resource providers and predict a performance for a distributed workload on each potential provider of the set according to a machine learning model. Additionally, embodiments inject fault into the set of potential cloud resource providers and measure an impact of the injected fault upon system performance. Embodiments utilize the injected fault to create a system intervention to ensure that the system intervention is carried out on a network in predetermined system. Further, embodiments provision the distributed workload among the potential cloud resource providers according to dynamic conditions output by the set of potential cloud resources based on the measured impact of the injected fault.