Turbonomic, Inc.

Mor Cohen

Endre Sara

Enlin Xu

Shmuel Kliger

Danilo Florissi

Yechiam Yemini

David P Olshefski

Shai Benjamin

Yuri Rabover

Ariel Tal

Nitya Hemang Vyas

Wei Duan

Milin Jaiswal

Apostolos Dailianas

Shravan Sriram

Aditya Deo

Tian Xia

Eric Senunas

Richard Trickey

Astha Malik

Systems, methods and apparatus, including computer program products, are disclosed for regulating access of consumers (e.g., applications, containers, or VMs) to resources and services (e.g., storage). In one embodiment, this regulation occurs through the movement of consumers between different providers of a resource or service, such as a cloud service provider. Moving consumers includes, for example, determining the cost of moving the consumer from a first provider to a second provider. According to various embodiments, the cost of moving the consumer is compared to performance criteria associated with moving the consumer from the first provider to the second provider.

Systems, apparatus and methods for cost and performance-based movement of applications and workloads in a multiple-provider system

Systems, apparatus and methods are disclosed which are directed to computer program products for managing multiple instances of an application or other entities, including managing instances of an application or other entities across multiple environments, in each case while assuring application performance to the extent possible given the resources available. The disclosed management software and/or processes may also be used to ensure that an application is running in multiple geo localities (e.g., discrete and/or physically separated geographical locations).

Systems, apparatus, and methods for managing computer workload availability and performance

Methods, systems, and apparatus, including computer program products, for managing resources in virtualization systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a virtualization system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a virtualization system, and to suspend or terminate computing resources.

Managing resources in virtualization systems

Methods, systems, and apparatus, including computer program products, for managing resources in container systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a container system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a container system, and to suspend or terminate computing resources.

Managing resources in container systems

Methods, systems, and apparatus, including computer program products, are disclosed for managing resources, such as computer software licenses, in container systems, including multi-cloud systems. The use of supply chain economics alone and in combination with other techniques offers a unified platform to integrate, optimize or improve, and automate resource management in a container system. These techniques may be used to monitor and control the delivery of service level agreements and software licenses. They may also be used to monitor and control contention of computing resources in a container system, and to suspend or terminate computing resources.

Systems, apparatus and methods for management of computer-based software licenses

Systems, apparatus and methods are disclosed which are directed to computer program products for automatically understanding and addressing the QoS adherence of a workload in a computer network. The use of pricing can be used to provide QoS adherence for any type of demand or service. The disclosed methodologies can be applied to applications, to virtual machines, to storage, and/or other types of workload, demand or service that is achieved through the use of shared resources.

Systems, apparatus, and methods for managing quality of service agreements

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New York, NY, United States of America

Mor Cohen