Abstract: Restriction-compliant data replication including receiving a request to replicate a dataset of a database that is stored in a cloud-based data warehouse at a first region of a plurality of geographic regions to a second region of the plurality of geographic regions, wherein the second region is subject to persistent storage restrictions different from restrictions of the first region; selecting a replication policy, applicable to the second region, wherein the replication policy specifies replication restrictions that conform to the persistent storage restrictions of the second region; and replicating the dataset from the first region to the second region, including applying the replication policy to the dataset.

Abstract: In one aspect, a first device includes a surface onto which objects are placeable and plural wireless chargers electrically connectable to each other. The plural wireless chargers are disposed beneath the surface so a second device can be charged while resting on the surface at various locations.

Abstract: In some examples, machine learning based incident classification and resolution may include analyzing an issue associated with performance of a task or operation of an application or a device, and determining, based on the analysis of the issue and based on a machine learning based automated incident resolution model, whether the issue is appropriate for automated resolution. If so, automated resolution of the issue may be implemented to resolve the issue. Alternatively, a machine learning based incident classification model may be used to determine whether an incident associated with the issue is actionable or non-actionable. If the incident is actionable, a machine learning based incident ticket creation and routing model may be used to generate an incident ticket associated with the incident, and determine support personnel selected from a plurality of support personnel to resolve the incident ticket.

Abstract: Systems and methods for cluster maintenance are presented. In one embodiment a cluster configuration method includes: maintaining configuration information associated with a first node and a second node, including cluster configuration version information; evaluating the first node as a potential configuration update node for the second node, including evaluating an indication of potential partial snapshot update availability based upon the configuration information associated with the first node and configuration information associated with the second node; performing an update type selection, including continued analysis of partial snapshot update availability; and performing an update for the second node in accordance with results of the update type selection.

Abstract: Systems and methods for cluster maintenance are presented. In one embodiment a cluster configuration method includes: maintaining configuration information associated with a first node and a second node, including cluster configuration version information; evaluating the first node as a potential configuration update node for the second node, including evaluating an indication of potential partial snapshot update availability based upon the configuration information associated with the first node and configuration information associated with the second node; performing an update type selection, including continued analysis of partial snapshot update availability; and performing an update for the second node in accordance with results of the update type selection.