Abstract: Temporal dynamic policies may be used to effectively alter the management of a virtual machine in a virtualized computing environment based upon some temporal condition such as how long a virtual machine has been active or idle, how long it has been since the virtual machine was created or deployed, etc. The altered management may be used, for example, to activate various performance and/or reliability-related technologies such as high availability and failover functionality for longer-running virtual machines.

Abstract: Disclosed aspects relate to managing link aggregation with respect to a shared pool of configurable computing resources. A set of workloads of the shared pool of configurable computing resources can be monitored to identify a set of networking data. Based on the set of networking data, a link aggregation arrangement for dynamic adjustment may be determined. The link aggregation arrangement may be established by dynamic adjustment with respect to the shared pool of configurable computing resources.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A set of scaling factor data is monitored. The set of scaling factor data is related to a workload on a configuration of the shared pool of configurable computing resources. A set of workload resource data associated with the workload is ascertained. Using the set of scaling factor data and the set of workload resource data, a triggering event is detected. In response to detecting the triggering event, a configuration action (with respect to the configuration of the shared pool of configurable computing resources) is performed.

Abstract: A computer in a cloud computing environment includes a virtualization instance (VI) providing cloud services to a consumer device. The computer includes non-virtualizing and self-virtualizing type devices. The VI uses a first virtual device that is a virtual form of one of the non-virtualizing and self-virtualizing type devices to meet Quality of Service (QoS) objectives. A method for managing the resources of the cloud comprises receiving QoS metrics, determining that the VI cannot meet the QoS objectives using the first virtual device, determining that a second virtual device comprising a virtual form of the non-virtualizing and self-virtualizing type device alternative to that of first virtual device is available and can meet the QoS objectives, and configuring the VI to use the second virtual device in place of the first virtual device. A computer programming product and a system can embody the method.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A set of scaling factor data is monitored. The set of scaling factor data is related to a workload on a configuration of the shared pool of configurable computing resources. A set of workload resource data associated with the workload is ascertained. Using the set of scaling factor data and the set of workload resource data, a triggering event is detected. In response to detecting the triggering event, a configuration action (with respect to the configuration of the shared pool of configurable computing resources) is performed.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Techniques are described relating to alert propagation in a virtualized computing environment. An associated method may include receiving a notification regarding an incident in an environment in which computing capabilities are provided as a service. The method further may include monitoring a plurality of events within the environment to detect an event relating to the incident and evaluating the detected event. The method further may include propagating via at least one alerting site service at least one disruption alert associated with the incident. The at least one disruption alert may be based upon evaluating the detected event. The at least one alerting site service may distribute the at least one disruption alert to at least one alerting agent among a plurality of alerting agents, each of the at least one alerting agent being associated with a respective virtual machine within the environment that is affected by the incident.

Abstract: A computer in a cloud computing environment includes a virtualization instance (VI) providing cloud services to a consumer device. The computer includes non-virtualizing and self-virtualizing type devices. The VI uses a first virtual device that is a virtual form of one of the non-virtualizing and self-virtualizing type devices to meet Quality of Service (QoS) objectives. A method for managing the resources of the cloud comprises receiving QoS metrics, determining that the VI cannot meet the QoS objectives using the first virtual device, determining that a second virtual device comprising a virtual form of the non-virtualizing and self-virtualizing type device alternative to that of first virtual device is available and can meet the QoS objectives, and configuring the VI to use the second virtual device in place of the first virtual device. A computer programming product and a system can embody the method.

Abstract: A method manages virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, storage fabric limitations may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, storage fabric limitations may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: An apparatus and program product manage virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, storage fabric limitations may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, storage fabric limitations may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: The invention addresses these and other problems associated with the prior art by providing an apparatus and program product that manage virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations, referred to herein as fabric limits, may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, fabric limits may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, fabric limits may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: A method manages virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, storage fabric limitations may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, storage fabric limitations may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: An apparatus and program product manage virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, storage fabric limitations may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, storage fabric limitations may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: A method manages virtual machines in a virtualized computing environment based at least in part on limitations associated with storage fabrics through which virtual machines may access one or more storage systems in such an environment. The storage fabric limitations may be used, for example, in connection with placing virtual machines on hosts in a virtualized computing environment. As another example, storage fabric limitations may be used in connection with deploying virtual machines into a virtualized computing environment to reduce the likelihood of boot errors. As still another example, storage fabric limitations may be used in connection with load balancing across multiple fabrics in a virtualized computing environment.

Abstract: A virtualization instance (VI) uses a first virtual device that is a virtual form of non-virtualizing devices or a second virtual device that is a virtual form of self-virtualizing device to meet Quality of Service (QoS) objectives. A method for managing resources comprises receiving first QoS metrics, determining QoS objectives are unmet, determining that a first substitute virtual device comprising a virtual form of self-virtualizing device is available and can meet QoS objectives, configuring the VI to use the first substitute virtual device in place of the first virtual device, receiving second QoS metrics, determining QoS objectives are exceeded, determining that a second substitute virtual device comprising a virtual form of the non-virtualizing device is available and can meet QoS objectives, and configuring the VI to use the second substitute virtual device in place of the second virtual device. A computer programming product and a system can embody the method.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.

Abstract: Disclosed aspects include managing asset placement with respect to a shared pool of configurable computing resources. A first set of first resource values is detected with respect to a set of assets. The first set of first resource values includes a first value. A second set of first resource values is detected with respect to the set of assets. The second set of first resource values includes a second value. The second value exceeds the first value. A set of asset weight values is detected with respect to the set of assets. The set of asset weight values indicates an asset utilization arrangement. A placement arrangement is determined for the set of assets using the first set of first resource values, the second set of first resource values, and the set of asset weight values. Accordingly, the set of assets is placed based on the placement arrangement.