Background
Standard observability platforms require manual dashboard checks and expert knowledge to identify root causes. To reduce the MTTR (Mean Time To Repair), we propose evolving Ozhera into an AI-Native platform.
Goal
Implement a conversational interface (Hera Agent) that can:
- Automatically summarize system health status.
- Perform root cause analysis (RCA) by querying metrics, logs, and traces.
- Execute maintenance tasks via predefined API interfaces (e.g., scale-up/down, log-level adjustment).
Key Components
- Integration with LLM frameworks (LangGraph/CrewAI).
- Asynchronous execution engine (Virtual Threads support).
- Natural language to PromQL/SQL translation.
Background
Standard observability platforms require manual dashboard checks and expert knowledge to identify root causes. To reduce the MTTR (Mean Time To Repair), we propose evolving Ozhera into an AI-Native platform.
Goal
Implement a conversational interface (Hera Agent) that can:
Key Components