Abstract: A method and system for pre-attaching volumes onto a host. The method includes analyzing a plurality of hosts in a cloud environment. The method also includes identifying a least populated host based on the analyzation of the hosts. The least populated host is based on the attributes of the hosts. The method also includes identifying at least one popular volume in the cloud environment. The popular volume is a volume type most frequently used by the hosts in the cloud environment. Further, the method includes attaching the popular volume to the least populated host.

Abstract: Workload redistribution is provided. Upper and lower thresholds of resource utilization by worker nodes in a worker node group are defined. Hot and cold regions are determined in the worker node group to provide policy-based rescheduling of the worker nodes and redistribution of workload on the worker nodes based on the upper and lower thresholds of resource utilization. Resource utilization data corresponding to the worker nodes in the worker node group are collected at defined time intervals. It is determined whether an average resource utilization of any worker node in the worker node group is greater than the upper threshold of resource utilization based on the collected resource utilization data. In response to determining that the average resource utilization of any worker node in the worker node group is greater than the upper threshold, redistribution of the workload on the worker nodes is triggered.

Abstract: A method and system for pre-attaching volumes onto a host. The method includes analyzing a plurality of hosts in a cloud environment. The method also includes identifying a least populated host based on the analyzation of the hosts. The least populated host is based on the attributes of the hosts. The method also includes identifying at least one popular volume in the cloud environment. The popular volume is a volume type most frequently used by the hosts in the cloud environment. Further, the method includes attaching the popular volume to the least populated host.

Abstract: Workload redistribution is provided. Upper and lower thresholds of resource utilization by worker nodes in a worker node group are defined. Hot and cold regions are determined in the worker node group to provide policy-based rescheduling of the worker nodes and redistribution of workload on the worker nodes based on the upper and lower thresholds of resource utilization. Resource utilization data corresponding to the worker nodes in the worker node group are collected at defined time intervals. It is determined whether an average resource utilization of any worker node in the worker node group is greater than the upper threshold of resource utilization based on the collected resource utilization data. In response to determining that the average resource utilization of any worker node in the worker node group is greater than the upper threshold, redistribution of the workload on the worker nodes is triggered.

Abstract: A method and system for pre-attaching volumes onto a host. The method includes analyzing a plurality of hosts in a cloud environment. The method also includes identifying a least populated host based on the analyzation of the hosts. The least populated host is based on the attributes of the hosts. The method also includes identifying at least one popular volume in the cloud environment. The popular volume is a volume type most frequently used by the hosts in the cloud environment. Further, the method includes attaching the popular volume to the least populated host.

Abstract: A method and system for pre-attaching volumes onto a host. The method includes analyzing a plurality of hosts in a cloud environment. The method also includes identifying a least populated host based on the analyzation of the hosts. The least populated host is based on the attributes of the hosts. The method also includes identifying at least one popular volume in the cloud environment. The popular volume is a volume type most frequently used by the hosts in the cloud environment. Further, the method includes attaching the popular volume to the least populated host.

Abstract: A method, computer program product, and system includes a processor(s) progressively recording data modifications to an object (e.g., a virtual resource or a container), in an in-memory resource of the shared computing environment. Based on receiving an indication of a system failure or a system reboot, the processor(s) writes the data modifications to a non-volatile storage resource, where the non-volatile storage resource is readable by an object manager communicatively coupled to the non-volatile storage resource, and where the object manager utilizes the data modifications to recover the object at reboot following the system failure.

Abstract: A method, computer program product, and system includes a processor(s) progressively recording data modifications to an object (e.g., a virtual resource or a container), in an in-memory resource of the shared computing environment. Based on receiving an indication of a system failure or a system reboot, the processor(s) writes the data modifications to a non-volatile storage resource, where the non-volatile storage resource is readable by an object manager communicatively coupled to the non-volatile storage resource, and where the object manager utilizes the data modifications to recover the object at reboot following the system failure.

Abstract: A method, computer program product, and system includes a processor(s) progressively recording data modifications to an object (e.g., a virtual resource or a container), in an in-memory resource of the shared computing environment. Based on receiving an indication of a system failure or a system reboot, the processor(s) writes the data modifications to a non-volatile storage resource, where the non-volatile storage resource is readable by an object manager communicatively coupled to the non-volatile storage resource, and where the object manager utilizes the data modifications to recover the object at reboot following the system failure.

Abstract: A method, computer program product, and system includes a processor(s) progressively recording data modifications to an object (e.g., a virtual resource or a container), in an in-memory resource of the shared computing environment. Based on receiving an indication of a system failure or a system reboot, the processor(s) writes the data modifications to a non-volatile storage resource, where the non-volatile storage resource is readable by an object manager communicatively coupled to the non-volatile storage resource, and where the object manager utilizes the data modifications to recover the object at reboot following the system failure.