This application provides an anomaly
troubleshooting method, apparatus, electronic device, storage medium, and program product, relating to the field of
computer technology. The method, by invoking tools and relying on underlying
client dependencies to obtain
business data,
middleware status, and runtime context information in real time, enables the
system to possess
dynamic data access and deep
technical information retrieval capabilities. Based on this, semantic structured
processing is used to uniformly transform user anomaly queries or
system alarms into
executable instructions, and the execution chain enables automated collaborative scheduling of multiple tools, replacing the traditional mode of manually switching between multiple systems, manually collecting data, and inferring root causes step by step. This mechanism integrates the originally scattered
data entry points and complex
troubleshooting processes into an automated
system, enabling the system to quickly locate code-level root causes of problems, significantly shortening the average anomaly resolution time, reducing the
workload of maintenance personnel, and improving the efficiency of problem
troubleshooting.