Abstract: Methods and systems are provided for the deployment of machine learning based processes to public clouds. For example, a method for deploying a machine learning based process may include developing and training the machine learning based process to perform an activity, performing at least one of identifying and receiving an identification of a set of one or more public clouds that comply with a set of regulatory criteria used to regulate the activity, selecting a first public cloud of the set of one or more public clouds that complies with the set of regulatory criteria used to regulate the activity, and deploying the machine learning based process to the first public cloud of the set of one or more public clouds.

Abstract: Examples described herein relate to securing communication between a cloud platform and applications running on an on-premise private network of a tenant. The cloud platform includes a communication delegate mapped to a tenant of the cloud platform. The communication delegate may receive data traffic associated with the tenant and directed to an application hosted on an on-premise private network. The communication delegate may encrypt the data traffic to generate an encrypted data traffic using a unique certificate associated with the communication delegate and communicate the encrypted data traffic to the application via a secure communication tunnel specific to the tenant between the communication delegate and the on-premise private network.

Abstract: Example implementations relate to locating cloud system resources. A system can comprise a processor and a non-transitory memory resource storing machine readable instructions to receive a global positioning system (GPS) coordinate for hardware resources positioned at a plurality of geographic locations, tag resources stored at each of the plurality of geographic locations with a corresponding GPS coordinate, and determine a corresponding geographic location of a portion of the tagged resources based on extracted GPS coordinates for the portion of the tagged resources.

Abstract: A technique includes providing, by a computer, a portal to provide a catalog describing features of a plurality of cloud services available and to be provided by otherwise unused hardware resources of a plurality of private cloud providers. The technique includes, by the computer, in response to input received through the portal selecting a given cloud service for a tenant, exposing the given cloud service to the tenant. Exposing the given cloud service to the user includes requesting a given cloud provider corresponding to the given cloud service to configure the given cloud provider to provide the given cloud service to the tenant.

Abstract: Some examples relate to collection of performance metrics from a device. In an example, performance metrics for collection from a first device may be selected. The performance metrics may be indexed by assigning an index entry to respective performance metrics on the first device. A fixed sequence of the performance metrics may be maintained on first device. The fixed sequence of the performance metrics along with the index entry assigned to the respective performance metrics may be shared with a second device. A first performance data of the respective performance metrics on first device may be determined. The first performance data of the respective performance metrics may be shared with second device. The sharing may comprise sending, to second device, the index entry and the first performance data of the respective performance metrics in an order corresponding to the fixed sequence of the performance metrics on first device.

Abstract: Some examples relate to collection of performance metrics from a device. In an example, performance metrics for collection from a first device may be selected. The performance metrics may be indexed by assigning an index entry to respective performance metrics on the first device. A fixed sequence of the performance metrics may be maintained on first device. The fixed sequence of the performance metrics along with the index entry assigned to the respective performance metrics may be shared with a second device. A first performance data of the respective performance metrics on first device may be determined. The first performance data of the respective performance metrics may be shared with second device. The sharing may comprise sending, to second device, the index entry and the first performance data of the respective performance metrics in an order corresponding to the fixed sequence of the performance metrics on first device.

Abstract: Example implementations relate to locating cloud system resources. A system can comprise a processor and a non-transitory memory resource storing machine readable instructions to receive a global positioning system (GPS) coordinate for hardware resources positioned at a plurality of geographic locations, tag resources stored at each of the plurality of geographic locations with a corresponding GPS coordinate, and determine a corresponding geographic location of a portion of the tagged resources based on extracted GPS coordinates for the portion of the tagged resources.

Abstract: Methods and systems are provided for the deployment of machine learning based processes to public clouds. For example, a method for deploying a machine learning based process may include developing and training the machine learning based process to perform an activity, performing at least one of identifying and receiving an identification of a set of one or more public clouds that comply with a set of regulatory criteria used to regulate the activity, selecting a first public cloud of the set of one or more public clouds that complies with the set of regulatory criteria used to regulate the activity, and deploying the machine learning based process to the first public cloud of the set of one or more public clouds.

Abstract: A technique includes providing, by a computer, a portal to provide a catalog describing features of a plurality of cloud services available and to be provided by otherwise unused hardware resources of a plurality of private cloud providers. The technique includes, by the computer, in response to input received through the portal selecting a given cloud service for a tenant, exposing the given cloud service to the tenant. Exposing the given cloud service to the user includes requesting a given cloud provider corresponding to the given cloud service to configure the given cloud provider to provide the given cloud service to the tenant.