Red Hat, Inc.

Greg D Blomquist

Scott Wayne Seago

Ian Scott McLeod

Christopher Lalancette

Carl C Trieloff

John Dunning

Ladislav Smola

Oleg Barenboim

Jason Frey

Implementations of the disclosure describe automatically scaling up physical resources in a computing infrastructure. A method of the disclosure includes determining a change to implement in a physical configuration of a cluster in view of utilization of individual virtual resources and individual physical resources in the cluster, the change indicating one or more actions to be performed to modify a non-provisioned physical resource in view of a cluster type of the cluster, and performing, by a processing device without user interaction, an action to implement the change, wherein the change comprises adding the non-provisioned physical resource to the cluster.

Automatically scaling up physical resources in a computing infrastructure

A processing device sends a request to a cloud provider for data for a metric for a particular resource being provided by the cloud provider, receives one or more data steams for the metric for the particular resource from the cloud provider. The one or more data streams includes data points over a specified period of time. The data points have one or more different time intervals between the data points. The processing device creates a uniform data stream from data in the one or more data streams. The uniform data stream includes data points that have the same time intervals between the data point. The processing device determines the utilization of the particular resource from the uniform data stream.

Evaluating resource performance from misaligned cloud data

A method of implementations includes determining, by a processing device in a management platform, an occurrence of an inventory event in a computing environment managed by the management platform, wherein the computing environment comprises a plurality of managed objects, and invoking a relationship handler to obtain identifying attributes for a target managed object corresponding to the inventory event. The relationship handler is further to update the identifying attributes and relationship attributes corresponding to the target managed object in an inventory tree maintained by the management platform, the relationship attributes comprising an identification of affiliations between two or more managed objects and for each managed object affiliated to the target managed object, and schedule a job in a message queue to update each of the attributes for the managed object, the detailed attributes comprising attributes of the managed object that are not identifying attributes or relationship attributes.

Skeletal refresh for management platforms

A processing device determines that utilization of a resource that is executing a workload meets a utilization threshold. The resource is part of multiple resources in a cluster. The processing device determines that no other resource of the cluster has available capacity for a transfer of a workload or a portion of a workload from the resource to the other resource, and determines a change to implement in a physical configuration of the cluster in view of no other resource having available capacity. The processing device sends a message over a network to implement the change, without user interaction, to the physical configuration of the cluster. The change includes adding a new physical resources to the cluster.

A server computer system determines that configuring a first virtual machine in a cloud depends on a configuration result of configuring a second virtual machine. The server computer system configures the second virtual machine in the cloud and configures the first virtual machine in the cloud using the configuration result of the second virtual machine.

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Apex, NC, United States of America

Greg D Blomquist