Abstract: Examples are disclosed for upgrading services of a software-based service according to a predefined sequence to account for dependencies between services. An upgrade package that includes a manifest defining an order for upgrading services of the software-based system is retrieved. Each service is upgraded according to the sequence and a status log is modified following each upgrade to include a unified status summary associated with all services being upgraded.

Abstract: Examples for upgrading third-party services for a virtualized computing environment are discussed. A request is obtained to upgrade services associated with the virtualized computing environment. An upgrade bundle is obtained that includes a manifest defining an order for upgrading the third-party services. In the order defined in the manifest, each third-party upgrade is executed and a status log is modified to indicate the completion of the upgrade.

Abstract: Disclosed are various embodiments for automating the prediction of maintenance windows in datacenter environments. A user input can be received specifying a start time for a maintenance window. A first amount of time for a host machine to enter a maintenance mode at the start time for the maintenance window is estimated. Then, a second amount of time to update a software component installed on the host machine is estimated. A third amount of time for the host to update a storage cache to match a respective data store can also be estimated. A maintenance window length can then be predicted that comprises a sum of the first amount of time, the second amount of time, and third amount of time. The maintenance window length can then be rendered within a user interface.

Abstract: Examples for upgrading third-party services for a virtualized computing environment are discussed. A request is obtained to upgrade services associated with the virtualized computing environment. An upgrade bundle is obtained that includes a manifest defining an order for upgrading the third-party services. In the order defined in the manifest, each third-party upgrade is executed and a status log is modified to indicate the completion of the upgrade.

Abstract: Embodiments detect and group multiple failure events to enable batch processing of those failure events, such as in a virtual datacenter executing a plurality of virtual machines (VMs). A long timer, adaptive short timer, and adaptive polling frequency enable a computing device to efficiently detect and group the failure events that may be related (e.g., resulting from one failure). The grouped failure events are processed in parallel thereby reducing the time for recovery from the failure events.

Abstract: Embodiments detect and group multiple failure events to enable batch processing of those failure events, such as in a virtual datacenter executing a plurality of virtual machines (VMs). A long timer, adaptive short timer, and adaptive polling frequency enable a computing device to efficiently detect and group the failure events that may be related (e.g., resulting from one failure). The grouped failure events are processed in parallel thereby reducing the time for recovery from the failure events.

Abstract: Embodiments detect and group multiple failure events to enable batch processing of those failure events, such as in a virtual datacenter executing a plurality of virtual machines (VMs). A long timer, adaptive short timer, and adaptive polling frequency enable a computing device to efficiently detect and group the failure events that may be related (e.g., resulting from one failure). The grouped failure events are processed in parallel thereby reducing the time for recovery from the failure events.

Abstract: Exemplary methods, apparatuses, and systems include a first virtual infrastructure management (VIM) server monitoring a first host device to determine if the first host device receives one or more messages within an interval of time from a first storage device indicating a failure of one or more logical disks within the first storage device. The first VIM server manages a first virtual datacenter including the first host device and the first storage device. A second VIM server manages a second virtual datacenter including a second host device and a second storage device. The logical disk is replicated on the second storage device. The first VIM server determines, that a plurality of virtual machines running on the first host device is dependent upon the logical disk(s). The first VIM server performs, in response to the dependency upon the logical disk, a failover of the virtual machines to the second host device.

Abstract: Exemplary methods, apparatuses, and systems include a first virtual infrastructure management (VIM) server monitoring a first host device to determine if the first host device receives one or more messages within an interval of time from a first storage device indicating a failure of one or more logical disks within the first storage device. The first VIM server manages a first virtual datacenter including the first host device and the first storage device. A second VIM server manages a second virtual datacenter including a second host device and a second storage device. The logical disk is replicated on the second storage device. The first VIM server determines, that a plurality of virtual machines running on the first host device is dependent upon the logical disk(s). The first VIM server performs, in response to the dependency upon the logical disk, a failover of the virtual machines to the second host device.

Abstract: Embodiments detect and group multiple failure events to enable batch processing of those failure events, such as in a virtual datacenter executing a plurality of virtual machines (VMs). A long timer, adaptive short timer, and adaptive polling frequency enable a computing device to efficiently detect and group the failure events that may be related (e.g., resulting from one failure). The grouped failure events are processed in parallel thereby reducing the time for recovery from the failure events.