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Metoro

Q: Who is Metoro for?

Kubernetes teams, platform engineering, SRE teams, startups

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SRE / DevOps agentindependentVerified 2026-07-22

Kubernetes native observability with eBPF telemetry and an AI SRE agent, Guardian, that finds root cause and opens fix pull requests.

Metoro is an AI SRE for teams running on Kubernetes. It brings its own eBPF telemetry layer, installed as a DaemonSet through a single Helm command with no code changes, and its AI agents autonomously detect issues from live traffic, investigate alerts, verify deployments, identify root causes and open fix pull requests that engineers review like any teammate's. Its Guardian capability handles AI root cause and fixes, and the platform doubles as a Kubernetes native observability tool with unsampled eBPF capture of logs, metrics, traces and profiling. Metoro is backed by Y Combinator.

Vendor details

Canonical URL

https://metoro.io

Company status

independent

Use cases & customers

Primary use cases

Kubernetes incident detection and root cause analysisdeployment verificationautomated fix pull requestsKubernetes observability

Target customers

Kubernetes teamsplatform engineeringSRE teamsstartups

Deployment options

SaaS with in-cluster eBPF collector

Integrations

eBPF telemetry, OTLP and Prometheus, code repository and deploy history, Slack, PagerDuty, webhooks and email.

Sources & related URLs

Research sources

https://metoro.io https://github.com/agamm/awesome-ai-sre

Capability coverage

8.5 / 14 capabilities · 61%

Integrations & Tool CallingBrings its own eBPF telemetry and integrates OTLP and Prometheus metrics and traces, code repository and deploy history, plus Slack, PagerDuty, webhooks and email, Metoro site 2026-07-22	Full
Workflow OrchestrationAutonomous full loop for Kubernetes: detects issues from live traffic, investigates alerts, verifies deployments, root causes and opens fix pull requests, Metoro site 2026-07-22	Full
Knowledge Grounding & RAGGrounds investigation in its own eBPF telemetry pre correlated with Kubernetes identity plus deployment and code context, so the model starts with complete runtime evidence, Metoro site 2026-07-22	Full
Human Oversight & GuardrailsRemediation is delivered as a reviewable fix pull request rather than an autonomous action, a review and approve workflow that keeps humans in control, Metoro site 2026-07-22	Full
Security, Identity & GovernanceeBPF runtime visibility with in cluster kernel level collection and a stated security posture for Kubernetes; specific certifications and identity governance are not documented in retrieved sources, Metoro site 2026-07-22	Partial
Observability & AuditabilityA Kubernetes native observability platform in its own right with 100 percent unsampled eBPF capture of logs, metrics, traces, profiling and events plus custom dashboards, Metoro site 2026-07-22	Full
Memory & State PersistenceDocuments a learning system that recognizes recurring patterns and learns from past fixes; no distinct persistent memory architecture named, Metoro site 2026-07-22	Partial
Deployment & Data ResidencyIn cluster eBPF collector deployed as a DaemonSet via a single Helm install with a SaaS backend; self hosted or data residency options are not documented, Metoro site 2026-07-22	Partial
Prebuilt Agents, Templates & PacksShips several prebuilt Kubernetes capabilities including Guardian for root cause and fixes, deployment verification and alert investigation, though not a broad agent or template library, Metoro site 2026-07-22	Partial
Triggers & Channel CoverageInvestigates every firing alert automatically and detects incidents from live traffic in real time, filtering noise before on call engages, Metoro site 2026-07-22	Full
Model Flexibility & RoutingProprietary AI pipeline; no customer facing model choice or bring your own model routing documented, Metoro site 2026-07-22	Unable to verify
APIs, SDKs & MCP ExtensibilityIngests standard OTLP and Prometheus telemetry, but a public API, SDK or MCP extensibility surface is not documented in retrieved sources, Metoro site 2026-07-22	Unable to verify
Testing, Debugging & OptimizationDeployment verification checks every rollout against production behavior to catch regressions, and container profiling adds optimization signal; not a dedicated agent evaluation harness, Metoro site 2026-07-22	Partial
Browser & Computer UseOperates through Kubernetes, eBPF and APIs rather than browser or computer interface control, Metoro site 2026-07-22	Unable to verify

Pricing

Free tier available; paid pricing not fully public

Public — partialMedium variable costFree tierTrial available

What is public

A free tier is available with no per investigation metering; full paid pricing is not published.

Variable cost rationale

Free tier with no per investigation metering; paid tier pricing is not fully public, so cost at scale is not fully determinable from public sources.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free tier

Key ambiguities

Paid tier list price and billing axis not public.

Verified 2026-07-22

Data confidence: high