The invention discloses a
performance monitoring system and method for expansion and upgrading of a
big data platform, and relates to the technical field of
big data analysis. According to the
performance monitoring system and method, key information of newly-added Web servers is collected to form a standardized configuration
data set, and
node deployment normalization and cluster compatibility in the expansion stage are improved; operating load logs before capacity expansion are directionally pulled and screened, and a historical cluster
server operating load set is constructed through
structural analysis; first dynamic weight configuration is completed by combining two types of load sets, the cache types of the Web servers are distinguished according to cache configuration identifiers, and secondary
weight adjustment is performed on the shared
distributed cache Web servers based on the
hit rate, so that the defects of existing weight configuration are overcome, accurate weight
adaptation is realized, the
cache hit rate is increased, the frequency of requesting to penetrate through a
database is reduced, and the service life of the Web servers is prolonged. The
database load is reduced, the
response delay is shortened, resource imbalance and service
instability are avoided, and the performance of platform expansion upgrading operation is guaranteed.