Abstract: A data storage interface provides access to data storage clusters that may not otherwise be accessible to data accessors. The data storage interface can serve as a point of access for data accessors to access stored data via a consistent data access protocol, even when a data storage cluster on which requested data is stored may use a different protocol. The data storage interface can also provide access across network boundaries, such as those between different private cloud computing systems (e.g., virtual private clouds or “VPCs”).

Abstract: An online system detects imposter pages based on machine learning techniques. The online system maintains a plurality of authenticated pages and a plurality of unauthenticated pages, each of which is associated with a name and an image. From the plurality of unauthenticated pages, the online system filters out one or more unauthenticated pages that are associated with names of authenticated pages to obtain a group of candidate pages. Further, the online system pairs each candidate page up with an authenticated page. The candidate page has a name and/or image similar to the authenticated page. The online system inputs the candidate page and the authenticated page into a trained model. The trained model outputs an imposter score indicating a likelihood that the candidate page is an imposter page. The online system takes actions on the candidate page based on the imposter score.