AI Assistant for O&M Intelligence
This feature enhances efficiency through three main features:
- natural language interaction: Input commands such as "View Server Load Peak", and the system automatically converts them to specific commands.
- Multi-model supportIntelligent selection of optimal models such as GPT-4o (complex analysis) or Gemini (fast response) depending on the type of task.
- contextual understanding: Preceding actions can be associated with ongoing dialogs, e.g., "analyze error logs" followed by "suggest fixes".
Typical application scenarios include: automatically troubleshooting Kubernetes Pod anomalies, generating log analysis reports, and giving capacity expansion recommendations based on monitoring data. Test data shows that it can reduce the manual command line operation time by about 60%, which is especially suitable for multi-environment mixed operation and maintenance scenarios.
This answer comes from the articleWuhr-AI-ops: Intelligent Operations Management PlatformThe
May not be reproduced without permission:AI productivity tools " How Smart AI Assistants Can Simplify O&M?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil