Metoro

Metoro is a Kubernetes observability platform with an AI site reliability agent on top. A collector installed with one Helm command runs as a DaemonSet on every node and uses eBPF to capture logs, metrics, traces, continuous profiling, Kubernetes events, resource changes and deployment context without code changes, SDKs or restarts. The signals are correlated with Kubernetes identity and kept in one store with a single query language, and OpenTelemetry and Prometheus data can be added for anything eBPF cannot see. The AI agent uses that context to detect production issues, investigate alerts, verify deployments, find root causes and open pull requests with fixes. It works on EKS, GKE, AKS, OpenShift and bare metal clusters. Metoro is built for platform and DevOps teams running Kubernetes who want observability and incident response in one tool. Pricing is by node. Hobby is free for one cluster, one user and up to two nodes, with limited AI root cause analysis and alert investigation. Scale is $20 per node per month with unlimited clusters, users and nodes, Slack support from engineers and automated remediation workflows, with $0.20 per GB charged on ingest above 100 GB per node. Default retention is 28 days. Enterprise is custom and adds bulk discounts, custom SLAs, on premise deployment and bring your own cloud. AI model usage is passed through at cost, or customers can bring their own Bedrock keys on Enterprise.