Making Data Agent Ready with Andre Elizondo

About this episode

The episode discusses making data actionable for AI agents with Andre Elizondo from Mezmo.

Today we are talking with Andre Elizondo, the Director of Innovation at Mezmo about their open source agentic harness for SREs called AURA. Mezmo got their start handling observability data at scale. Logs, traces, metrics, the usual stuff. AURA is their answer to a growing problem, as system complexity outpaces humans' ability to make sense of all that data, how do you actually make it actionable for AI agents? We get into their approach to context engineering, essentially making data agent ready before it hits the model. Why they built their own orchestrator in Rust? How they handle memory and self-correction in agent loops? Their take on MCP and where it fits versus Skills and code sandboxing and how the SRE role is evolving as agents become trusted teammates. Visit mezmo.com/aura

People in this episode

Guest: Andre Elizondo

Topics covered

• data engineering
• AI agents
• observability
• SRE
• context engineering
• system complexity

Keywords

• data agent
• AURA
• observability
• SRE
• context engineering
• AI
• system complexity

Mentioned in this episode

Organizations: Mezmo

Products: AURA

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