Abstract: Methods and apparatus are described for synchronizing primary and secondary content. In some embodiments, a host device may livestream primary content to a number of user devices in a group-watch setting. Secondary content (e.g., live or video-on-demand (VOD) content) from a separate source may also be provided to the user devices. A host user of the host device may initiate a control action (e.g., pause, seek, display advertisement) to the secondary content. To signal the control action to the user devices, the host device may embed metadata indicative of the desired control action into the primary content. A user device receiving the primary content including the metadata may apply the control action to the secondary content. Since control action data is embedded in the livestreamed primary content, the primary and secondary contents are synchronized, providing an optimal viewer experience without time lag between the intended action and the implemented action.

Abstract: Technology for identifying relevant data (also called “data of interest”) for applying a machine logic based rule and for increasing the frequency of making backups (for example, snapshots) of the relevant data.

Abstract: A computer-implemented method according to one embodiment includes retrieving details of a data backup system; determining whether a first data backup operation will complete within the data backup system before a second data backup operation is initiated within the data backup system, based on the details of the data backup system; and conditionally adjusting one or more elements of the data backup system, based on the determining.

Abstract: A computer-implemented method according to one embodiment includes retrieving details of a data backup system; determining whether a first data backup operation will complete within the data backup system before a second data backup operation is initiated within the data backup system, based on the details of the data backup system; and conditionally adjusting one or more elements of the data backup system, based on the determining.

Abstract: A computer-implemented method according to one embodiment includes causing a failure event in each of a plurality of microservices of a system and collecting failure effect data associated with the caused failure events. A mapping is created detailing transition of the microservices between different states and the collected failure effect data is analyzed for creating the mapping. The method further includes outputting a predetermined notification in response to a determination that a first of the microservices is close to experiencing a predicted failure event, and outputting a suggested solution for repairing the system in response to a determination that the system has failed, using the mapping to identify a root cause of the system failure. Using the mapping to identify the root cause of the system failure includes identifying the microservices that caused the system failure.

Abstract: A computer-implemented method according to one embodiment includes causing a failure event in each of a plurality of microservices of a system and collecting failure effect data associated with the caused failure events. A mapping is created detailing transition of the microservices between different states and the collected failure effect data is analyzed for creating the mapping. The method further includes outputting a predetermined notification in response to a determination that a first of the microservices is close to experiencing a predicted failure event, and outputting a suggested solution for repairing the system in response to a determination that the system has failed, using the mapping to identify a root cause of the system failure. Using the mapping to identify the root cause of the system failure includes identifying the microservices that caused the system failure.

Abstract: Technology for identifying relevant data (also called “data of interest”) for applying a machine logic based rule and for increasing the frequency of making backups (for example, snapshots) of the relevant data.