Ambient AI Agents for Smarter SRE and Incident Response
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Ambient AI Agents for Smarter SRE and Incident Response
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𝐘𝐨𝐮𝐫 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐝𝐞𝐭𝐞𝐜𝐭𝐞𝐝 𝐭𝐡𝐞 𝐢𝐧𝐜𝐢𝐝𝐞𝐧𝐭. 𝐖𝐡𝐲 𝐝𝐢𝐝 𝐢𝐭 𝐬𝐭𝐢𝐥𝐥𝐭𝐚𝐤𝐞 the Engineers 𝐡𝐨𝐮𝐫𝐬 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐭𝐡𝐞 root cause?
Engineering teams have dashboards, alerts, logs, and traces. Yet finding theroot cause of a production issue can still take hours.
Frank Chávez and I spoke with Viraat Das, Cofounder and CEO of Exla, about Libra, an ambient AI agent that continuously investigates production systems, identifies regressions, and proposes fixes.
Viraat’s recommendation for enterprise architects, and SRE teams while designing agentic workflows:
“The harder it is to reverse an action, the more a human shouldbe in the loop.”
Our main discussion points:
- Why incident detection is easier than root cause investigation- How ambient agents connect logs, traces, deployments, and code changes
-Detecting regressions that traditional monitoring may miss
- When agents should act autonomously and when human approval is necessary
Agents should be able to investigate complex problems autonomously, but execution should follow defined policies, permissions, and risk controls.