The invention discloses a
software application performance optimization method based on
big data analysis, and relates to the technical field of
data analysis and mining, and the method comprises the following steps: tracking
software application service call
link data through a distributed tracking technology, collecting
log data during
software application operation through a log aggregation
system, and monitoring the performance of software application through a
performance monitoring tool. The method comprises the steps of collecting
performance index data of a software application program, establishing a Prophet
time sequence prediction model, predicting the performance trend of the software application, monitoring the performance data of the software application through an isolated forest
algorithm, implementing real-time
anomaly detection, and presenting an analysis result to a software application user through a
visual tool. By means of the
big data analysis technology, accurate prediction and real-time monitoring of software application performance are achieved, the efficiency and accuracy of performance optimization are effectively improved, meanwhile, the analysis result is visually presented, a user can visually understand the software performance condition, and stable operation and optimization upgrading of software application are promoted.