Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform ingesting streaming events for processing by multiple models; mapping each of the streaming events to a model of the multiple models; storing each of the streaming events in a respective queue in a respective sequence store, such that a respective one of the multiple models retrieves (i) a respective one of the streaming events in the respective sequence store associated with the respective one of the multiple models and (ii) a respective key corresponding to the respective one of the streaming events from a leaf store, to asynchronously perform the respective machine-learning inferencing, wherein the multiple models run independently and in parallel on multi-tenant threads. Other embodiments are disclosed.

Abstract: A distributed system including multiple processing nodes. The distributed system can perform certain acts. The acts can include receiving a first conflation event identifying a first node and a second node. The first node can be part of a first set. The first set can include a sole parent node stored at a first processing node of the multiple processing nodes. The second node can be part of a second set. The second set can include a sole parent node stored at a second processing node of the multiple processing nodes. The first and second sets can be disjoint sets. The first conflation event can be received at an event-driven stream application at one of the multiple processing nodes. The acts also can include conflating the first set and the second set into a conflated set. The conflated set can include the first and second nodes. The conflated set can include a sole parent node.

Abstract: A system and method of bootstrapping replicas from existing partitions is disclosed. A distributed database is maintained by a system. The distributed database includes a first partition copy and a second partition copy each containing a database. A failure of the first partition copy is detected and a third partition copy including an empty database is generated. The database of the second partition copy is copied to the empty database of the third partition copy and the third partition copy is designated as one of an active partition copy or a replica partition copy.

Abstract: A distributed system including multiple processing nodes. The distributed system can perform certain acts. The acts can include receiving a first conflation event identifying a first node and a second node. The first node can be part of a first set. The first set can include a sole parent node stored at a first processing node of the multiple processing nodes. The second node can be part of a second set. The second set can include a sole parent node stored at a second processing node of the multiple processing nodes. The first and second sets can be disjoint sets. The first conflation event can be received at an event-driven stream application at one of the multiple processing nodes. The acts also can include conflating the first set and the second set into a conflated set. The conflated set can include the first and second nodes. The conflated set can include a sole parent node.

Abstract: A system and method of bootstrapping replicas from existing partitions is disclosed. A distributed database is maintained by a system. The distributed database includes a first partition copy and a second partition copy each containing a database. A failure of the first partition copy is detected and a third partition copy including an empty database is generated. The database of the second partition copy is copied to the empty database of the third partition copy and the third partition copy is designated as one of an active partition copy or a replica partition copy.