How we built an autonomous SRE agent for Kubernetes

Langchain··Submitted by Mads Kristian Nylund
AI ToolsAI InfrastructureAI-agents

The SRE Agent for Kubernetes deployments uses a scheduler to monitor cluster health without waking the full agent, collecting state via the Kubernetes Python client and generating structured reports in Slack. It employs a read/write split, with writes requiring human approval, and integrates specialized subagents to prioritize remediations. The architecture balances autonomy with safety, using LangGraph for planning and HITL interrupts for writes, while minimizing costs through efficient resource use. The agent is designed to be simple, cost-effective, and adaptable, with LangSmith aiding in debugging and improving its performance.

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