Metoro

Metoro Introduction

Metoro is an AI-powered observability platform specifically designed for Kubernetes, functioning as an autonomous Site Reliability Engineer (SRE). It monitors environments in real time, detects incidents, performs root cause analysis, and automatically fixes issues by opening pull requests, all without requiring code changes due to its eBPF-based telemetry. With a simple Helm installation, it sets up in under 5 minutes, providing comprehensive tracing, logs, metrics, and profiling.

Use Cases

DevOps teams automating Kubernetes monitoring and incident response

Startups needing scalable observability without dedicated SRE staff

Enterprises managing large-scale Kubernetes deployments with proactive issue resolution

Development teams improving application reliability and performance in containerized environments

Why Startups Use It

Startups need Metoro because it provides enterprise-grade observability and incident management with minimal setup time and cost. It automates critical SRE tasks, allowing small teams to focus on product development rather than infrastructure monitoring. The pay-as-you-go pricing and scalability make it ideal for fast-growing, resource-constrained environments.

Frequently Asked Questions

What is eBPF and how does Metoro use it?

eBPF is a kernel-level technology that allows Metoro to collect telemetry automatically without code changes, enabling tracing, logs, and metrics for comprehensive observability.

How does Metoro fix incidents automatically?

Metoro detects issues, root causes them using AI, and opens a pull request with the proposed fix in your repository, allowing for review and deployment.

Is there a free tier available?

Yes, Metoro offers a free Hobby plan for small-scale use, with paid plans starting at $20 per node per month for larger deployments.

How quickly can I set up Metoro?

Metoro can be set up in less than 5 minutes with a single Helm install, requiring no infrastructure changes or code modifications.