[Epic] Evolution to AI-Native Observability: Integration of Hera Agent
- Dominant language
- Java
- Stars
- 122
- Forks
- 46
- Avg merge
- 11h 56m
- Merged PRs (30d)
- 9
Description
### 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.
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Assessment
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