AI-Powered Kubernetes Monitoring with n8n
This post demonstrates how to run a fully self-hosted n8n automation platform on a Talos Kubernetes cluster and extend it with custom operational tooling. Using sidecar containers that provide kubectl and talosctl access, n8n workflows can inspect cluster state, analyse issues with AI agents, and trigger remediation actions. The setup combines NFS-backed persistent storage, a PostgreSQL backend, and Telegram notifications for human-in-the-loop approvals. The result is a closed-loop monitoring pipeline where Kubernetes health checks, root-cause analysis, and remediation workflows run directly inside the cluster being monitored.
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