公开(公告)号：US20230359476A1

公开(公告)日：2023-11-09

申请号：US18355251

申请日：2023-07-19

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Peter Erik Mellquist ,  Bret Alan McKee ,  Frederick Miles Roeling

IPC: G06F9/455 ,  G06F9/50

CPC classification number: G06F9/45541 ,  G06F9/5083

Abstract: 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.

公开(公告)号：US20230229467A1

公开(公告)日：2023-07-20

申请号：US18188562

申请日：2023-03-23

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Bret Alan McKee ,  Peter Erik Mellquist ,  Frederick Miles Roeling

IPC: G06F9/455

CPC classification number: G06F9/45541 ,  G06F9/45558 ,  G06F2009/4557 ,  G06F2009/45562

Abstract: 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.

公开(公告)号：US11625256B2

公开(公告)日：2023-04-11

申请号：US16908083

申请日：2020-06-22

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Bret Alan McKee ,  Peter Erik Mellquist ,  Frederick Miles Roeling

IPC: G06F9/455 ,  G06F9/445 ,  G06F9/50 ,  H04L67/14 ,  H04L67/51

Abstract: 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.

公开(公告)号：US10693735B2

公开(公告)日：2020-06-23

申请号：US16357744

申请日：2019-03-19

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Peter Erik Mellquist ,  Bryan Stiekes

IPC: H04L12/24 ,  H04L12/26

Abstract: Examples include fabric management devices. Some examples include a fabric management device to manage a network fabric. The fabric management device comprises a serial interface to connect to a network device of the network fabric that provides power and data to the fabric management device, a processing resource, and a machine-readable storage medium with instructions executable by the processing resource. The machine-readable storage medium comprises instructions establish communication across the serial interface with the network device via a fabric management device driver, discover a topology of the network fabric, wherein the network fabric comprises a plurality of network devices, and monitor a set of network performance metrics of the plurality of network devices. The machine-readable storage medium further comprises instructions to dynamically configure the network fabric based on the set of network performance metrics.