How Cisco Revolutionized Platform Engineering with Komodor’s Agentic AI

Cisco Outshift transformed its platform engineering by integrating Komodor's Agentic AI, specifically through the implementation of CAIPE (Community AI Platform Engineering), to manage the complexity of its AWS EKS clusters and MicroK8s workloads. This multi-agent system leverages Komodor's Klaudia to significantly reduce mean-time-to-recover (MTTR) by up to 80%, addressing bottlenecks and human scaling limits in their infrastructure. The architecture of CAIPE utilizes LangGraph, Deep Agents, Model Context Protocol (MCP), and Agent-to-Agent (A2A) communications to facilitate intelligent agent collaboration. Komodor's reliable API responses are crucial to CAIPE's functionality, enabling agents to perform tasks such as root cause analysis (RCA) quickly and accurately, converting API endpoints into executable tools via OpenAPI specs without manual coding. This innovation has led to substantial operational improvements, including faster query responses and reduced toil, and aims to progress towards autonomous self-healing systems, enhancing productivity and proactive issue resolution.

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