Abstract: A service control method based on a service cluster, an electronic device, and a storage medium are described. The method includes: acquiring operation index information generated by a target service cluster when a task runs; calling one or more strategy models in a strategy model library to perform anomaly analysis on the operation index information, and determining target anomaly information of an anomaly occurring in the target service cluster when the task runs and a corresponding target solution strategy; and sending a configuration updating indication carrying the target solution strategy to the target service cluster.

Abstract: A slow node detection method during task running, an apparatus, an electronic device, and a medium are provided.

Abstract: The present disclosure provides a method and an apparatus of resource adjustment for a service cluster, an electronic device and a storage medium. The method includes: determining resource adjustment information for the service cluster according to a task quantity of streaming data processing tasks to be processed; determining a core quantity to be adjusted corresponding to central processor units and the second quantity of computing nodes to be adjusted, according to the parallelism degree to be adjusted, the first quantity of the computing nodes that have been created in the service cluster, and a resource utilization rate of central processor units in each computing node that has been created; and executing the resource adjustment operation according to the core quantity to be adjusted and the second quantity, and obtaining a service cluster subject to resource adjusting.

Abstract: The present disclosure provides a method and an apparatus of resource adjustment for a service cluster, an electronic device and a storage medium. The method includes: determining resource adjustment information for the service cluster according to a task quantity of streaming data processing tasks to be processed; determining a core quantity to be adjusted corresponding to central processor units and the second quantity of computing nodes to be adjusted, according to the parallelism degree to be adjusted, the first quantity of the computing nodes that have been created in the service cluster, and a resource utilization rate of central processor units in each computing node that has been created; and executing the resource adjustment operation according to the core quantity to be adjusted and the second quantity, and obtaining a service cluster subject to resource adjusting.