Abstract: Account data comprising metadata for primary application instances running at a primary active cloud environment instance (ACEI) is stored. Application data associated with the primary application instances is stored at primary databases (DBs). The account and application data are transferred to secondary DBs at a secondary ACEI. The secondary ACEI may be a backup instance to substitute services provided by the primary ACEI in case of unavailability. For example, the location where the primary ACEI is hosted may be affected by a disaster. To failover a primary data center hosting the primary ACEI, a database takeover to the secondary DBs is performed. The secondary ACEI is configured correspondingly to the primary ACEI based on the transferred account data. Secondary application instances corresponding to the primary application instances are started at the secondary ACEI. Requests directed to the primary application instances are redirected to the secondary application instances.

Abstract: Account data comprising metadata for primary application instances running at a primary active cloud environment instance (ACEI) is stored. Application data associated with the primary application instances is stored at primary databases (DBs). The account and application data are transferred to secondary DBs at a secondary ACEI. The secondary ACEI may be a backup instance to substitute services provided by the primary ACEI in case of unavailability. For example, the location where the primary ACEI is hosted may be affected by a disaster. To failover a primary data center hosting the primary ACEI, a database takeover to the secondary DBs is performed. The secondary ACEI is configured correspondingly to the primary ACEI based on the transferred account data. Secondary application instances corresponding to the primary application instances are started at the secondary ACEI. Requests directed to the primary application instances are redirected to the secondary application instances.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for providing process intelligence by translating a business scenario definition into one or more corresponding data storage system artifacts. One example method includes identifying a process intelligence scenario associated with one or more business processes and including one or more definitions defining an observable behavior of the one or more business processes, processing the one or more definitions to produce an executable description including one or more artifacts associated with a data storage system, the one or more artifacts associated with the one or more definitions, storing the executable description in the data storage system, and processing one or more flow events associated with the one or more business processes using the executable description in the data storage system to expose the observable behavior of the business process defined in the process intelligence scenario.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for providing process intelligence by translating a business scenario definition into one or more corresponding data storage system artifacts. One example method includes identifying a process intelligence scenario associated with one or more business processes and including one or more definitions defining an observable behavior of the one or more business processes, processing the one or more definitions to produce an executable description including one or more artifacts associated with a data storage system, the one or more artifacts associated with the one or more definitions, storing the executable description in the data storage system, and processing one or more flow events associated with the one or more business processes using the executable description in the data storage system to expose the observable behavior of the business process defined in the process intelligence scenario.