The invention discloses a fault
processing method and device for a distributed micro-
service system, equipment and a medium, relates to the technical field of communication, and aims to solve the problems of low real-time performance and poor precision of fault
processing. Transient fault data is injected into the target micro-service group through a chaos injection unit, real-time abnormal
data acquisition is performed through a non-intrusive probe, and a transient snapshot is generated; according to the transient snapshots, single-service micro-explosion segments are obtained, the single-service micro-explosion segments are aggregated based on the cross-service overlapping degree, a transient family is generated, index slopes,
resource contention traces, log emergence frequencies and topological slices in the transient family are coded into multi-view
time sequence vectors, the multi-view
time sequence vectors are written into an index
database, and the multi-view
time sequence vectors are sent to a meta
reinforcement learning training
queue; in an isolation environment, according to the meta
reinforcement learning training
queue, performing meta
reinforcement learning model training on the high-frequency abrupt change fault scene, and determining a meta strategy according to an instant reward function; and adjusting a chaos injection unit according to the meta-strategy, and carrying out fault
processing operation on the distributed micro-
service system.