Abstract: Systems and methods for allocating computing environments for completing an RPA (robotic process automation) workload are provided. A request for completing an RPA workload is received. A number of computing environments to allocate for completing the RPA workload is calculated based on a selected one of a plurality of RPA autoscaling strategies. The calculated number of computing environments is allocated for allocating one or more RPA robots to complete the RPA workload. The computing environments may be virtual machines.

Abstract: Systems and methods for allocating computing environments for completing an RPA (robotic process automation) workload are provided. A request for completing an RPA workload is received. A number of computing environments to allocate for completing the RPA workload is calculated based on a selected one of a plurality of RPA autoscaling strategies. The calculated number of computing environments is allocated for allocating one or more RPA robots to complete the RPA workload. The computing environments may be virtual machines.

Abstract: Systems and methods for allocating computing environments for completing an RPA (robotic process automation) workload are provided. A request for completing an RPA workload is received. A number of computing environments to allocate for completing the RPA workload is calculated based on a selected one of a plurality of RPA autoscaling strategies. The calculated number of computing environments is allocated for allocating one or more RPA robots to complete the RPA workload. The computing environments may be virtual machines.

Abstract: In some embodiments, an automation optimizer is configured to determine whether a provisioning condition is satisfied, for instance according to a current length of a job queue, or according to a current workload of a selected RPA host platform executing a plurality of software robots. When to the provisioning condition is satisfied, some embodiments automatically provision additional VMs onto the respective RPA host platform, and automatically remove VMs when automation demand is low. Exemplary RPA hosts include cloud computing platforms and on-premises servers, among others.

Abstract: Systems and methods for restoring a file system to a point-in-time without relying on a backup. One system includes an electronic processor configured to automatically restore a file system to a specified point-in-time by (a) automatically restoring, from a recycle bin, items deleted from the file system after the point-in-time, (b) automatically deleting, from the file system, items created within the file system after the point-in-time, (c) automatically moving items moved within the file system after the point-in-time to a location within the file system associated with the point-in-time, (d) automatically deleting, from the file system, items copied within the file system after the point-in-time, (e) automatically renaming items renamed within the file system after the point-in-time to a name associated with the point-in-time, and (f) automatically restoring, from a version history, a version associated with the point-in-time for items with content modified after the point-in-time.

Abstract: Systems and methods for restoring a file system to a point-in-time without relying on a backup. One system includes an electronic processor configured to automatically restore a file system to a specified point-in-time by (a) automatically restoring, from a recycle bin, items deleted from the file system after the point-in-time, (b) automatically deleting, from the file system, items created within the file system after the point-in-time, (c) automatically moving items moved within the file system after the point-in-time to a location within the file system associated with the point-in-time, (d) automatically deleting, from the file system, items copied within the file system after the point-in-time, (e) automatically renaming items renamed within the file system after the point-in-time to a name associated with the point-in-time, and (f) automatically restoring, from a version history, a version associated with the point-in-time for items with content modified after the point-in-time.