The agentic path streams log files directly from FSx for ONTAP through an S3 access point, enabling cross-file correlation to pinpoint root causes such as AXI timeout failures.

The system supports dashboards and automations, including QuickSight for regression-health dashboards and Quick Automate for scheduled triage and alerts.

EDA verification teams generate large nightly logs (from simulation, compilation, and scheduling) that are difficult to triage by hand.

This approach avoids moving data and provides zero-copy access to logs for AI analytics, accelerating verification closure.

The solution could extend to other EDA workflows that produce logs on NFS, such as synthesis timing, physical verification, and power analysis outputs.

All components operate within the customer VPC with read-only S3 access-point permissions for AI services, while NFS remains the write path for EDA tools.

Two analysis paths exist: a knowledge-base path using Amazon Quick for quick summaries and an agentic path using AgentCore with an MCP gateway for deep, cross-file investigation.

The RAG path in Amazon Quick builds a knowledge base by indexing logs to deliver fast, natural-language answers about nightly failures.

AgentCore MCP gateway offers List, Read, and Search capabilities to autonomously traverse directories and read multiple logs to generate triage reports.

FSx for NetApp ONTAP stores logs on NFS and exposes them via an S3 access point through the S3 API without requiring data movement.