Vmware, Inc.

Dell Marketing USA, L.p.

Cloudhealth Technologies, Inc.

Joe Kinsella

Andi Abes

Vikram Pillai

Adam Schepis

Dave Rodger

Methods, apparatus, systems, and articles of manufacture are disclosed for Strategy-Driven Optimization of Computer Resource Configurations in a Cloud Environment. Disclosed examples include a non-transitory computer readable storage medium comprising instructions that, when executed, cause processor circuitry to: monitor consumption of cloud resources associated with a containerized workload; associate the consumption with a monetary cost; and generate a notification to notify a user the cost exceeds the threshold, the notification including workload metrics associated with the monetary cost.

System and method of strategy-driven optimization of computer resource configurations in a cloud environment

A computer-implemented method of executing a policy-based operation on a shared computer infrastructure includes storing in a computer memory a dynamically extensible metadata system that is in communication with a processor that executes policy-based operations, where the dynamically extensible metadata system includes a data structure, a collection method, a policy processing method, and a policy condition. The collection method is then executed to collect data from a first computer resource in the shared computer infrastructure using a first data structure and from a second computer resource in the shared computer infrastructure using a second data structure, where the first data structure and the second data structure are different data structures. The collected data is then processed with the policy processing method to determine if the collected data meets the policy condition.

System and method for run-time adaptable policy engine for heterogeneous managed entities

A computer-implemented method of optimizing a computer resource configuration in a cloud environment to provision an information technology service includes determining performance objectives for a provisioned information technology service. Constraints for the provisioned information technology service based on the determined performance objectives are determined. A desired computer resource configuration to achieve the determined performance objectives for the provisioned information technology service and to meet the determined constraints for the provisioned information technology service is determined. Then a computer resource configuration is compared with the desired resource configuration to determine configuration actions wherein the configuration actions comprise transitioning a computer resource in the computer resource configuration to a new computer resource configuration. Available computer resources in the cloud environment are configured as well as the computer resource configuration in the cloud environment to realize the determined configuration actions. A current performance of the configured available computer resources in the cloud environment is evaluated as well as a current performance of the configured computer resource configuration in the cloud environment compared to the performance objective. Then, the method determines if the desired computer resource configuration has been achieved based on the evaluated current performance of the configured available computer resources in the cloud environment and the evaluated current performance of the configured computer resource configuration in the cloud environment. Then a history is generated of performance using the evaluated current performance of the configured available computer resources in the cloud environment and the evaluated current performance of the configured computer resource configuration in the cloud environment. A new desired computer resource configuration to achieve the determined performance objectives is then determined using the generated history of performance.

System and method of strategy driven optimization of computer resource configurations in a cloud environment

A system and method for optimizing a cloud environment using a workflow.

Automated and policy driven optimization of cloud infrastructure through delegated actions

Described are techniques to establish an on-demand, secure, point-to-point tunnel between a source device of a source network to a target device of a target network. The target network may not be visible to the source network. The target network includes a tunnel client and a tunnel server may be a perimeter device of the source network. The tunnel client may send a first message to the tunnel server. Data may be transmitted from the source to target device by including the data in a return message in response to the first message. The first message and the return message may be sent over one or more 'heartbeat' connections which are continually established and torn down to transmit data between the two networks, and the source and target devices therein.

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Reading, MA, United States of America

Joe Kinsella