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AI SRE For Teams on Kubernetes
Metoro is an AI SRE for teams running on Kubernetes. Run one command to get autonomous root causing and automatic fix PRs. Batteries included, telemetry is set up automatically. Go from nothing to production ready in < 5 minutes.
Metoro provides an AI SRE agent for Kubernetes that automates issue detection, root-cause analysis, and remediation without requiring code changes. It operates by collecting kernel-level telemetry and Kubernetes context to continuously monitor deployments and verify changes in production.
Metoro installs as a DaemonSet with a single Helm install, using eBPF to collect logs, metrics, traces, events, and deployment context from every node. It correlates signals with Kubernetes identities and offers AI-powered detection, alert investigation, deployment verification, and automatic fix PRs. The agent works across environments (cloud, on-prem, bare-metal) and supports deployment verification for every change, AI-driven RCA, and automated remediation by opening pull requests for fixes.
Who it’s for: Teams operating Kubernetes clusters (production-grade, multi-service) seeking automated SRE capabilities, deployment verification, and AI-assisted incident investigation.
Customers: Porter, Remy Security, DocioHealth, Porter Observability
The site lists multiple named customers and testimonials, demos, and a demo/pricing flow, indicating traction and ongoing user adoption.
I'm one of the founders of Metoro - We're building an AI SRE for teams running in Kubernetes. You can go from nothing to full observability with auomatically detected bugs in < 5 minutes. Before Metoro, I worked at Palantir as a Software Engineer where I built out Foundry's compute platform.
Metoro surfaces relevant metrics and logs, performs root cause analysis and suggests remediations
Metoro is an AI agent that helps debug production systems by surfacing relevant metrics and logs, performing root cause analysis, and suggesting remediations. It integrates with existing observability stacks (e.g., DataDog, Grafana, Elastic) and debugs services with users, presenting results in an interactive dashboard.
From the original launch (Jul 2023) — may be outdated.
Automating root cause analysis with generative AI
AI-based full stack observability platform
