How HPE Zerto built an agentic troubleshooting system with Amazon Bedrock
HPE Zerto deployed multi-agent troubleshooting in production — not a pilot. Here's how they grounded agents in live DR data on-premises.
Why it matters
A real-world agent deployment case study showing the engineering patterns practitioners need to move agents from experiment to production: multi-agent orchestration, on-premises grounding, and integration with live operational data.
The key facts
11 to knowMulti-agent architecture (specific agents not named in headline, but implied in 'multi-agent')
On-premises deployment model
Built with Strands Agents framework
Amazon Bedrock backend
Grounding agents in live disaster recovery data
Production troubleshooting system (not pilot)
Multi-agent architecture for disaster-recovery troubleshooting
On-premises deployment model (agents run inside customer environment)
Powered by Amazon Bedrock
Grounding agents in live DR data (engineering challenge described)
HPE Zerto is the platform (disaster-recovery/backup software vendor)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: HPE Zerto built an agentic troubleshooting system powered by Amazon Bedrock that runs on-premises inside the customer environment. This post describes the multi-agent architecture, the on-premises deployment model built with Strands Agents, and the engineering challenges of grounding agents in live…