Wuhr-AI-ops provides a unified multi-environment management solution that enables efficient operations and maintenance through the following steps:
- Unified access to the environment: The platform supports centralized management of local hosts and remote servers, switching between different environments with a single click through the web interface.
- Intelligent Command Execution: Built-in Kubernetes and Linux command auto-adaptation, no need to manually adjust the environment parameters.
- Cross-environment monitoring: Integrated Grafana dashboards can simultaneously display multi-location server performance metrics, and ELK log analysis supports cross-environment log aggregation.
The implementation needs to be done first in the.envConfigure the connection information of each environment in the file, then assign the access rights to the environment through the permission management module, and finally use the natural language command of the AI assistant, such as "Synchronize all environment profiles" to complete the complex operation.
This answer comes from the articleWuhr-AI-ops: Intelligent Operations Management PlatformThe
May not be reproduced without permission:AI productivity tools " How to solve the complexity and inefficiency of multi-environment O&M management?
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