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.

Abstract: Methods, systems, and computer-readable storage media for receiving a set of timeseries, each timeseries in the set of timeseries representing a parameter of execution of the system, resampling data of at least one timeseries to provide data of all timeseries in the set of timeseries in a consistent format, generating a pattern for each timeseries to provide a set of patterns based on data of the set of timeseries, combining patterns of the set of patterns to define a pattern, the pattern representing a schedule of instances over a period of time, and executing, by an instance manager, scaling of the system based on the pattern to selectively scale one or more of instances of the system and controllable resources based on scaling factors of the pattern.