Hewlett-Packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Hewlett-Packard Company

Bret Alan McKee

Chris Deon Hyser

Robert David Gardner

Blaine Douglas Gaither

Daniel J Magenheimer

Peter Erik Mellquist

Brian J Watson

Frederick Miles Roeling

Gregory William Thelen

John S Worley

Cullen Edwin Bash

Boris Zuckerman

Thomas W Christian

Blaine R Southam

John M Kessenich

Fredrick M Roeling

William S Worley, Jr

Christopher Scott Worley

William S Worely, Jr

Brian Watson

Tom Christian

Scott N D'Angelo

Michael J Mahon

Brian T Zimpfer

Embodiments described herein are generally directed to a controller of a managed container service that facilitates selection among bare metal machines available within a private cloud. According to an example, a request is received by a Container-as-a-Service controller from a CaaS portal to create a cluster based at least in part on resources of a private cloud of a customer of a managed container service. An inventory of bare-metal machines available within the private cloud is received from a Bare-Metal-as-a-Service (BMaaS) provider associated with the private cloud. A particular bare metal machine is identified for the cluster by selecting among the available bare-metal machines based on cluster information associated with the request, the inventory, and a best fit algorithm configured in accordance with a policy established by the customer.

Container-as-a-service (CAAS) controller for private cloud container cluster management

Embodiments described herein are generally directed to a controller of a managed container service that facilitates autoscaling based on bare metal machines available within a private cloud. According to an example, a CaaS controller of a managed container service monitors a metric of a cluster deployed on behalf of a customer within a container orchestration system. Responsive to a scaling event being identified for the cluster based on the monitoring and an autoscaling policy associated with the cluster, a BMaaS provider associated with the private cloud may be caused to create an inventory of bare-metal machines available within the private cloud. Finally, a bare metal machine is identified to be added to the cluster by selecting among the bare-metal machines based on the autoscaling policy, the inventory and a best fit algorithm configured in accordance with a policy established by or on behalf of the customer.

Container-as-a-service (CaaS) controller for monitoring clusters and implementing autoscaling policies

Container-as-a-service (CAAS) controller for selecting a bare-metal machine of a private cloud for a cluster of a managed container service

Example implementations relate to a logical rack controller. In an example, a logical rack controller receives an inventory of a plurality of physical computing racks. The logical rack controller receives a logical rack definition that indicates selected physical infrastructure from among the inventory to form a logical rack. The logical rack controller validates the logical rack definition by verifying network connectivity of the selected physical infrastructure. After validation of the logical rack definition, the logical rack controller provides, to a provisioning controller, an interface to the logical rack. The provisioning controller can utilize the interface to access the logical rack.

Logical rack controller

Container-as-a-service (CaaS) controller for monitoring clusters and implemeting autoscaling policies

To provide an arrangement of virtual machines on physical machines, at least one controller compares indicators associated with plural different layouts of the virtual machines on the physical machines, wherein the indicators provide information regarding performances of corresponding layouts. The at least one controller selects one of the plural layouts based on the comparing.

Selecting one of plural layouts of virtual machines on physical machines

A system includes a memory and a controller. The controller controls access to the memory and is adapted to be programmed with a key that is associated with a context. The controller is adapted to, in response to a request to access the memory, perform a cryptographic function on data associated with the request based on the key.

Controlling access to memory using a controller that performs cryptographic functions

A technique includes receiving a query to a directory in a file system. In response to the query, both information targeted by the query and additional information are retrieved in anticipation of another query for the additional information.

Anticipatorily retrieving information in response to a query of a directory

Systems, methods, and machine-readable and executable instructions are provided for marked test script creation. Marked test script creation can include identifying a number of test scenarios that are associated with a program under test. Marked test script creation can include identifying a number of parameter types that are associated with the number of test scenarios. Marked test script creation can include including the number of test scenarios and the number of parameter types in a marked test script. Marked test script creation can include marking the number of test scenarios in the marked test script with a mark that identifies the number of test scenarios as requiring further processing. Marked test script creation can include creating, with a computing device, a number of un-marked test scripts from the marked test script wherein the number of un-marked test scripts are used to test the program under test.

Marked test script creation

To migrate a virtual machine from a first physical machine to a second physical machine, a hot-plug event notification is issued to an operating system of the virtual machine in response to an indication that the virtual machine is to be migrated. After issuing the hot-plug event notification, migration of the virtual machine to the second physical machine is performed.

Migrating a virtual machine by using a hot-plug event

To migrate a virtual machine from a first physical machine to a second physical machine over a network, execution of the virtual machine in the first physical machine is stopped, where the first physical machine contains data associated with the virtual machine. State information of the virtual machine is copied from the first physical machine to the second physical machine, and execution of the virtual machine is started on the second physical machine based on the copied state information.

Retrieving data of a virtual machine based on demand to migrate the virtual machine between physical machines

Embodiments are directed to virtual machine migration according to environmental data in a data center. One embodiment is a method that analyzes environmental data for a data center having plural servers and migrates virtual machines among the servers to increase cooling efficiency in the data center.

Virtual machine migration according to environmental data

In a system including plural physical machines containing virtual machines, a first group including a subset, of the plural physical machines is defined. A controller is provided in the first group for identifying a placement of virtual machines on the physical machines in the first group. Migration is performed of at least one of the virtual machines between or among the physical machines in the first group according to the identified placement.

Migrating virtual machines between physical machines in a define group

A method is provided for evaluating workload consolidation on a computer located in a datacenter. The method comprises inflating a balloon workload on a first computer that simulates a consolidation workload of a workload originating on the first computer and a workload originating on a second computer. The method further comprises evaluating the quality of service on the first computer's workload during the inflating and transferring the workload originating on either the first or the second computer to the other of the first or second computer if the evaluating the quality of service remains above a threshold.

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Fort Collins, CO, United States of America

Bret Alan McKee