Data management in a public cloud network

A non-transitory machine-readable storage medium that provides instructions that, if executed by a processor, are configurable to cause said processor to perform operations comprising:

• predicting, based on a previous usage of a cloud-based computing resource by a plurality of users of the cloud-based computing resource, a future usage of the cloud-based computing resource;
• predicting, based on the predicted future usage of the cloud-based computing resource, an anomaly event at the cloud-based computing resource;
• identifying a top contributing user from the plurality of users that is responsible for the anomaly event at the cloud-based computing resource;
• throttling an access of the top contributing user to the cloud-based computing resource;
• evaluating a speed of data requests received at the cloud-based computing resource from the top contributing user after the throttling, and a utilization level of the cloud-based computing resource;
• and
• dynamically controlling the speed of data requests received at the cloud-based computing resource, based on the evaluation of the utilization level of the cloud-based computing resource, and additionally based on a controlling speed of data request recommended by a first artificial intelligence model monitoring the previous usage of the cloud-based computing resource and the future usage of the cloud-based computing resource,
• the recommended controlling speed of data request being validated by a human reasoning based model configured to monitor and mitigate a risk associated with a counter-intuitive or non-intuitive recommendation of the first artificial intelligence model, wherein the human reasoning model validates the controlling speed of data request based on a speed of data requests for a past time cycle and a predetermined target range for the utilization level of the cloud-based computing resource;
• and
• maintaining the utilization level of the cloud-based computing resource within a the predetermined target range.

A system comprising:

• a processor;
• a cloud-based computing resource digitally connected with the processor;
• a non-transitory machine-readable storage medium that provides instructions that, if executed by the processor, are configurable to cause the system to perform operations comprising:
• predicting, based on a previous usage of a cloud-based computing resource by a plurality of users of the cloud-based computing resource, a future usage of the cloud-based computing resource;
• predicting, based on the predicted future usage of the cloud-based computing resource, an anomaly event at the cloud-based computing resource;
• identifying a top contributing user from the plurality of users that is responsible for the anomaly event at the cloud-based computing resource;
• throttling an access of the top contributing user to the cloud-based computing resource;
• evaluating a speed of data requests received at the cloud-based computing resource from the top contributing user after the throttling, and a utilization level of the cloud-based computing resource;
• dynamically controlling the speed of data requests received at the cloud-based computing resource, based on the evaluation of the utilization level of the cloud-based computing resource, and additionally based on a controlling speed of data request recommended by a first artificial intelligence model monitoring the previous usage of the cloud-based computing resource and the future usage of the cloud-based computing resource,
• the recommended controlling speed of data request being validated by a human reasoning based model configured to monitor and mitigate a risk associated with a counter-intuitive or non-intuitive recommendation of the first artificial intelligence model, wherein the human reasoning model validates the controlling speed of data request based on a speed of data requests for a past time cycle and a predetermined target range for the utilization level of the cloud-based computing resource;
• and
• maintaining the utilization level of the cloud-based computing resource within the predetermined target range.

A computer implemented method comprising:

• predicting, based on a previous usage of a cloud-based computing resource by a plurality of users of the cloud-based computing resource, a future usage of the cloud-based computing resource;
• predicting, based on the predicted future usage of the cloud-based computing resource, an anomaly event at the cloud-based computing resource;
• identifying a top contributing user from the plurality of users that is responsible for the anomaly event at the cloud-based computing resource;
• throttling an access of the top contributing user to the cloud-based computing resource;
• evaluating a speed of data requests received at the cloud-based computing resource from the top contributing user after the throttling, and a utilization level of the cloud-based computing resource;
• dynamically controlling the speed of data requests received at the cloud-based computing resource, based on the evaluation of the utilization level of the cloud-based computing resource, and additionally based on a controlling speed of data request recommended by a first artificial intelligence model monitoring the previous usage of the cloud-based computing resource and the future usage of the cloud-based computing resource,
• the recommended controlling speed of data request being validated by a human reasoning based model configured to monitor and mitigate a risk associated with a counter-intuitive or non-intuitive recommendation of the first artificial intelligence model wherein the human reasoning model validates the controlling speed of data request based on a speed of data requests for a past time cycle and a predetermined target range for the utilization level of the cloud-based computing resource;
• in response to the human reasoning based model validating that the controlling speed of data request recommended by the first artificial intelligence model is not counter-intuitive or non-intuitive, dynamically controlling the speed of data requests based on the recommendations from the first artificial intelligence model;
• in response to the human reasoning based model validating that the controlling speed of data request recommended by the first artificial intelligence model is counter-intuitive or non-intuitive, dynamically controlling the speed of data requests based on an alternate controlling speed of data request recommended by the human reasoning based model,
• wherein the alternate controlling speed of data request is generated using a second artificial intelligence model trained on a human domain knowledge relevant for mitigating the anomaly event;
• and
• maintaining the utilization level of the cloud-based computing resource within the predetermined target range comprising 60% to 70% of a maximum utilization level of the cloud-based computing resource.