Metoro

Metoro is an AI-powered Site Reliability Engineering (SRE) platform built for teams running on Kubernetes. It autonomously detects issues from live traffic, pinpoints root causes across telemetry and code, verifies deployments against production behavior, and generates fixes with evidence — all without requiring manual instrumentation or code changes. Powered by eBPF kernel-level telemetry, Metoro becomes operational in less than one minute and is backed by Y Combinator.

• AI Issue Detection & RCA: Automatically detects regressions from live traffic, correlates signals across logs, metrics, and traces, and generates code fixes with supporting evidence.
• AI Deployment Verification: Verifies every rollout against production behavior, catches regressions early, and surfaces what changed and what to do next — with Slack integration for instant notifications.
• AI Alert Investigation: Automatically investigates each alert, filters noise, and returns root cause and next steps before on-call engineers need to dig in.
• Guardian (AI RCA & Fixes): Proactively identifies and remediates incidents using AI-driven analysis across your entire Kubernetes environment.
• Kubernetes APM: Monitors application performance across services, containers, and clusters with deep visibility into latency, errors, and throughput.
• Log Management: Collects and analyzes logs from all containers without requiring restarts or instrumentation changes.
• Container Profiling: Provides deep performance insights at the container level using eBPF-based kernel telemetry.
• Custom Dashboards: Build metrics visualizations and dashboards tailored to your infrastructure and services.
• Infrastructure Monitoring: Monitors nodes and clusters for health, resource utilization, and anomalies.
• Cron Job Monitoring: Catches missed and failed cron job runs before they cause downstream issues.
• Uptime Monitoring: Health checks and status pages to track service availability.
• Flexible Deployment Options: Available as Metoro Cloud (fully managed), BYOC (hosted in your cloud, managed by Metoro), or On-Prem (fully airgapped or not).
• eBPF-Powered: Uses Linux kernel eBPF technology to collect telemetry at the kernel level for each container — no instrumentation, no restarts required.
• AI Agent Monitoring: Kernel-level telemetry for monitoring AI agents running in your Kubernetes environment.