The embodiment of the invention discloses an ELK-based
big data alarm method, device and equipment and a storage medium, and relates to the technical field of
big data processing. The ELK-based
big data alarm method comprises the steps of collecting original result data of a service; performing cleaning
processing on the original result data to obtain valid data; executing multi-dimensional
data extraction on the effective data; acquiring the proportion of each data feature in the overall data, and allocating feature weights; and generating characteristic values of the multiple types of alarmcharacteristics, and generating an
alarm message for pushing. In the method, multi-dimensional
data extraction is performed on effective data acquired from
original data; the method can achieve the deep analysis of finer
granularity, thereby better discovering the
abnormality in the
business logic or function points, the alarm strategy is adjusted through combining two parameters, i.e., the feature weight and the feature value, affecting the alarm strategy, the dynamic adjustment of the alarm strategy is realized, and the
false alarm and disturbance of an alarm is avoided.