基于人工智能的灰度测试方法、装置、电子设备及介质
By developing gray-scale plans and monitoring indicators, generating gray-scale identifiers, collecting link data, and updating the whitelist, the problem of unreliable gray-scale test results was solved, achieving stable and automated gray-scale testing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PINGAN YIQIANBAO E COMMERCE CO LTD
- Filing Date
- 2023-02-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing gray-scale testing methods cannot automatically switch to normal business servers when abnormal situations occur in the test population, resulting in unreliable gray-scale test results and poor stability and automation.
Develop a gray-scale plan, including a whitelist, monitoring indicators, and standard thresholds. Use tag parameters to identify test objects, generate gray-scale identifiers, connect access requests to the gray-scale server, collect link data to calculate real-time values of monitoring indicators, and update the whitelist based on decision results to achieve intelligent circuit breaker functionality.
It improves the stability and automation of grayscale testing, ensures the accuracy and stability of the testing process, and realizes the intelligent circuit breaker function of grayscale testing.
Smart Images
Figure CN116107894B_ABST