Abstract: A computer implemented method comprising operating a software container, the software container including a blockchain subsystem and a blockchain ledger, generating a blockchain entry by executing a hashing function on a current state of the software container and a last entry in the blockchain ledger, updating the blockchain ledger with the generated blockchain entry, and transmitting the generated blockchain entry to one or more connected software containers.

Abstract: A computer implemented method comprising operating a software container, the software container including a blockchain subsystem and a blockchain ledger, generating a blockchain entry by executing a hashing function on a current state of the software container and a last entry in the blockchain ledger, updating the blockchain ledger with the generated blockchain entry, and transmitting the generated blockchain entry to one or more connected software containers.

Abstract: Examples of techniques for jointly managing a cloud and non-cloud environment are disclosed. In one example implementation according to aspects of the present disclosure, a method includes: receiving a request to be executed on one of a cloud resource and a non-cloud resource using one of cloud orchestration and non-cloud orchestration, the request comprising a plurality of tasks; scheduling the first task for execution on the cloud resource by a cloud orchestration device using a joint cloud and non-cloud management device; scheduling the second task for execution on the non-cloud resource by a non-cloud orchestration device using a non-cloud management device; and scheduling the third task for execution on the non-cloud resource by the non-cloud orchestration device using the joint cloud and non-cloud management device.

Abstract: A mechanism is provided for disaster recovery of managed systems. Responsive to an identification of a virtual machine recovery condition occurring at a first node site, one or more virtual machines to be recovered to a second site node are identified. Further responsive to the identification of the virtual machine recovery condition occurring at the first node site and responsive to the identification of the one or more virtual machines to be recovered, at least some of records/metadata state data associated with the one or more virtual machines are transmitted to the second site node.

Abstract: In a virtualized data processing system where an operating system assigns resources to a virtualized computing entity (VCE) according to a container configuration of the VCE, and by using performance data corresponding to a type of the VCE, an initial resource allocation for a new VCE is computed at an initialization of the new VCE. The performance data includes at least a processor utilization information corresponding to the type of VCE for a past period. An operation of the new VCE is initiated using the initial resource allocation. New performance data is collected from the operation of the new VCE. For a future period of operation of the new VCE, a resource requirement is forecasted. An instruction to a provisioning system is constructed, specifying a portion of the resource requirement and the future period, which causes the provisioning system to adjust the initial resource allocation.

Abstract: In a virtualized data processing system where an operating system assigns resources to a virtualized computing entity (VCE) according to a container configuration of the VCE, and by using performance data corresponding to a type of the VCE, an initial resource allocation for a new VCE is computed at an initialization of the new VCE. The performance data includes at least a processor utilization information corresponding to the type of VCE for a past period. An operation of the new VCE is initiated using the initial resource allocation. New performance data is collected from the operation of the new VCE. For a future period of operation of the new VCE, a resource requirement is forecasted. An instruction to a provisioning system is constructed, specifying a portion of the resource requirement and the future period, which causes the provisioning system to adjust the initial resource allocation.

Abstract: A mechanism is provided for disaster recovery of managed systems. Responsive to an identification of a virtual machine recovery condition occurring at a first node site, one or more virtual machines to be recovered to a second site node are identified. Further responsive to the identification of the virtual machine recovery condition occurring at the first node site and responsive to the identification of the one or more virtual machines to be recovered, at least some of records/metadata state data associated with the one or more virtual machines are transmitted to the second site node.

Abstract: A method, executed by a computer, for allocating resources includes assigning resiliency attributes to a server having a workload, linking each server to a partner resource, duplicating the workload of each server in an offsite location accessible to the partner resource, detecting a disaster event, and transferring the workload of the server automatically to the partner resource. In some embodiments, the partner resource is a plurality of pool servers. The partner resource may be calculated by performing a capacity analysis. The partner resource may not a specifically assigned resource until a disaster occurs. In some embodiments, the workload is duplicated such that the recovery point objective of the workload is minimized. A computer program product and computer system corresponding to the methods are also disclosed herein.

Abstract: In an approach for provisioning a server utilizing a virtual consistency group, a processor receives a request to provision a first server utilizing a first application consistency group, wherein the first application consistency group is a virtualized consistency group. A processor defines a storage consistency group. A processor assigns the first application consistency group to the storage consistency group. A processor provisions the first server. A processor assigns to the provisioned first server, storage specified by the first application consistency group.

Abstract: Examples of techniques for jointly managing a cloud and non-cloud environment are disclosed. In one example implementation according to aspects of the present disclosure, a method includes: receiving a request to be executed on one of a cloud resource and a non-cloud resource using one of cloud orchestration and non-cloud orchestration, the request comprising a plurality of tasks; scheduling the first task for execution on the cloud resource by a cloud orchestration device using a joint cloud and non-cloud management device; scheduling the second task for execution on the non-cloud resource by a non-cloud orchestration device using a non-cloud management device; and scheduling the third task for execution on the non-cloud resource by the non-cloud orchestration device using the joint cloud and non-cloud management device.

Abstract: A foreign instance is transferred from a customer environment to a target infrastructure-as-a-service cloud environment as an image. The foreign instance is adjusted to standards of the infrastructure-as-a-service cloud environment to obtain an adjusted instance. The adjusted instance is registered into a management system of the infrastructure-as-a-service cloud environment.

Abstract: An image version of a source instance is prepared and is transferred to a destination environment. Two or more copies of the transferred image version of the source instance are created at the destination environment. The first copy of the transferred image version of the source instance is adjusted while the source instance is in use. The second copy of the transferred image version of the source instance is resynchronized with one or more changes made to the source instance. The adjustments made to the first copy of the source instance are applied to the resynchronized second copy of the source instance.

Abstract: In one approach, one or more computer processors provision an instance in a cloud computing environment, wherein the instance includes one or more local disks. The one or more computer processors boot the instance from a boot image such that an operating system exists in a main memory of the instance. The one or more computer processors copy an image file to the one or more local disks of the instance, where copying the image file overwrites the one or more local disks. The one or more computer processors reboot the instance.

Abstract: A computer determines that a utilization level of a resource has satisfied a threshold. The computer scales the allocation of the resource to the furthest of the current allocation of the resource plus a parameter and of a historical limit. The computer determines if the scaled allocation of the resource is outside the historical limit and if so, sets the historical limit equal to the scaled allocation of the resource. The computer determines whether the scaling of the allocation of the resource will result in an allocation oscillation. The computer determines if the scaled allocation of the resource is outside a boundary parameter and if so, sets the allocation of the resource equal to the boundary parameter.

Abstract: In an approach for provisioning a server utilizing a virtual consistency group, a processor receives a request to provision a first server utilizing a first application consistency group, wherein the first application consistency group is a virtualized consistency group. A processor defines a storage consistency group. A processor assigns the first application consistency group to the storage consistency group. A processor provisions the first server. A processor assigns to the provisioned first server, storage specified by the first application consistency group.

Abstract: A method, executed by a computer, for allocating resources includes assigning resiliency attributes to a server having a workload, linking each server to a partner resource, duplicating the workload of each server in an offsite location accessible to the partner resource, detecting a disaster event, and transferring the workload of the server automatically to the partner resource. In some embodiments, the partner resource is a plurality of pool servers. The partner resource may be calculated by performing a capacity analysis. The partner resource may not a specifically assigned resource until a disaster occurs. In some embodiments, the workload is duplicated such that the recovery point objective of the workload is minimized. A computer program product and computer system corresponding to the methods are also disclosed herein.

Abstract: In one approach, one or more computer processors provision an instance in a cloud computing environment, wherein the instance includes one or more local disks. The one or more computer processors boot the instance from a boot image such that an operating system exists in a main memory of the instance. The one or more computer processors copy an image file to the one or more local disks of the instance, where copying the image file overwrites the one or more local disks. The one or more computer processors reboot the instance.

Abstract: A method for identifying and managing a plurality of virtual machines is provided. The method may include creating a virtual machine within the plurality of virtual machines. The method may include creating a plurality of globally unique IDs for each virtual machine within the plurality of virtual machines. The method may also include assigning each of the globally unique IDs within the plurality of globally unique IDs to each of the virtual machines within the plurality of virtual machines, whereby the assigned globally unique ID is assigned to only one virtual machine. The method may include recording each globally unique ID into at least one database. The method may include associating the recorded globally unique ID with a management domain corresponding to the virtual machine assigned the globally unique ID, and a domain ID corresponding to the virtual machine.

Abstract: An image version of a source instance is prepared and is transferred to a destination environment. Two or more copies of the transferred image version of the source instance are created at the destination environment. The first copy of the transferred image version of the source instance is adjusted while the source instance is in use. The second copy of the transferred image version of the source instance is resynchronized with one or more changes made to the source instance. The adjustments made to the first copy of the source instance are applied to the resynchronized second copy of the source instance.

Abstract: A computer determines that a utilization level of a resource has satisfied a threshold. The computer scales the allocation of the resource to the furthest of the current allocation of the resource plus a parameter and of a historical limit. The computer determines if the scaled allocation of the resource is outside the historical limit and if so, sets the historical limit equal to the scaled allocation of the resource. The computer determines whether the scaling of the allocation of the resource will result in an allocation oscillation. The computer determines if the scaled allocation of the resource is outside a boundary parameter and if so, sets the allocation of the resource equal to the boundary parameter.