Abstract: Methods, systems, and computer-readable storage media for are directed to techniques and tools for analyzing data collected at application landscapes to detect patterns in configurations of tenants, services, and integrations between tenants and services. Snapshot data representing configurations defined for customers of a solution environment can be ready. The solution environment comprises a set of landscapes. The snapshot data includes data for integrations between tenants and/or services of a set of customers. The snapshot data can be evaluated according to detection algorithms to identify patterns in configurations in the solution environment based on historized snapshot data stored over time. A first identified pattern of the patterns associated with a first configuration of the configurations in the solution environment is classified as one of an anomaly configuration type or a standard configuration type.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for obtaining incoming alerts associated with tickets generated for health status issues identified by applications for central components of a cloud platform environment. The obtained incoming alerts are aggregated to determine a root cause ticket. A set of incoming alerts is associated with a first central component running at a first data center from one or more data centers of the cloud platform environment. The set of incoming alerts are generated based on a set of tickets logged at a first ticketing system of the first data center by one or more applications running on the first data center. A root cause ticket is generated to combine the set of tickets corresponding to the set of incoming alerts, and the root cause ticket identifies the first central component as associated with a first health status issue.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for obtaining incoming alerts associated with tickets generated for health status issues identified by applications for central components of a cloud platform environment. The obtained incoming alerts are aggregated to determine a root cause ticket. A set of incoming alerts is associated with a first central component running at a first data center from one or more data centers of the cloud platform environment. The set of incoming alerts are generated based on a set of tickets logged at a first ticketing system of the first data center by one or more applications running on the first data center. A root cause ticket is generated to combine the set of tickets corresponding to the set of incoming alerts, and the root cause ticket identifies the first central component as associated with a first health status issue.