Introduction of AI Module
- Introduced AI performance analysis tools to enhance performance monitoring intelligence.
- Added AI environment detection functionality to ensure deployment environment stability and compatibility.
- Support for Azure and OpenAI service integration, broadening application scenarios.
Basic Functionality Enhancements
- Added an environment search function for quick environment location.
- Introduced the "Execute Blue Whale Job" task to enhance task execution flexibility.
- Support for version filtering of undeployed services, simplifying the deployment task process.
- Added display of execution results for SQL data change tasks, including the number of affected rows and the time taken.
- Release plans now support scheduled execution, simplifying the management of repetitive tasks.
- Approval notification content has been optimized to improve the efficiency of the approval process.
Developer Center and Operations
- Added monitoring for Zadig service component status and cluster connection status.
- Support for creating clusters via OpenAPI, enhancing automation levels.
Performance Optimization and Fixes
- Significant improvement in the loading performance of the efficiency insight page.
- Performance optimization for the environment add service page loading.
- Optimized cluster deletion prompts to clearly display information about the environments in use.
- Fixed issues with host build cache paths.
- Resolved the issue where project administrators could not select test cases.
- Fixed the problem where managed service components could not be associated after name changes.
- Solved the issue where the number of branches matched in build task configuration was limited.
- Fixed the problem where clusters could not be edited when the kubeconfig account for direct connection clusters was unavailable.