HPE Zerto Builds On-Premises Agentic Troubleshooting
💡Learn how an enterprise grounds multi-agent troubleshooting in live disaster recovery data on-premises.
⚡ 30-Second TL;DR
What Changed
Runs an Amazon Bedrock-powered troubleshooting system on-premises.
Why It Matters
The architecture demonstrates how enterprises can apply agentic AI to sensitive operational data without moving the full system to a public environment. It may be especially relevant to organizations with strict deployment and data-residency requirements.
What To Do Next
Prototype a Strands Agents multi-agent workflow against a sanitized disaster-recovery dataset before evaluating an on-premises Bedrock deployment.
Key Points
- •Runs an Amazon Bedrock-powered troubleshooting system on-premises.
- •Uses a multi-agent architecture built with Strands Agents.
- •Addresses the engineering challenge of grounding agents in live disaster recovery data.
Weekly AI Recap
Read this week's curated digest of top AI events →
👉Related Updates
AI-curated news aggregator. All content rights belong to original publishers.
Original source: AWS Machine Learning Blog ↗
This is a summary, not the original. Read the source, or get the weekly briefing.
Weekly AI briefing
One email a week. Unsubscribe anytime.