Abstract: Embodiments generate machine learning recommendations using log data. Log data can be ingested to generate an event stream for cloud systems, where each of the cloud systems comprises a combination of components, and the cloud systems present heterogenous system architectures. The generated event streams can be processed to generate a data set, where the data set include issue labels for issues experienced by the cloud systems. Features from the generated data set can be extracted. Issue recommendations can be generated using machine learning algorithms based on the extracted features and the generated data set, where the issue recommendations are generated using a hybrid of collaborative based machine learning filtering and content based machine learning filtering.

Abstract: In accordance with an embodiment, described herein is a system and method for enabling cross-platform deployment of enterprise software applications, as mobile applications, to different mobile device platforms. A server-based deployment platform, including a mobile application repository, application publisher, and application marketplace, enables the publishing of hybrid application packages that provide enterprise application functionality and can be rendered on different mobile device platforms. A cross-platform mobile application, provided at a mobile device, includes a hybrid application package manager and a container for storing one or more hybrid application packages, and renders the hybrid application packages to provide access to their enterprise application functionality, independently of the device's mobile operating system.