Key Takeaways:
- Rethinking the Agent Silo: Why single-vendor AI agents struggle with modern incident triage, and how cross-silo context changes how engineering teams collaborate during outages.
- Lessons from Data Architecture: How applying data virtualization principles (querying in place) to observability offers an alternative to endless telemetry duplication and rising ingestion bills.
- Shift-Left Triage: Exploring how unified analysis across live cluster state, code, and metrics can help teams detect early signal degradation before it turns into a major incident.
- Balancing Autonomy & Control: What an enterprise-ready AI architecture looks like when prioritizing zero-data footprint, zero storage, and human-in-the-loop governance.