Metoro is an AI Site Reliability Engineer (SRE) platform for Kubernetes. It autonomously verifies deployments, detects issues, pinpoints root causes across telemetry and code, and generates fixes with evidence—all without requiring code changes. It becomes operational in under a minute.
Freemium
from $20/node/month
How to use Metoro?
Deploy Metoro's agent on your Kubernetes cluster in under a minute with no code changes. It automatically monitors live traffic and telemetry. The AI then verifies every rollout, detects regressions, investigates alerts to filter noise, pinpoints root causes, and suggests or generates fixes with supporting evidence, streamlining your DevOps workflow.
Metoro 's Core Features
AI Issue Detection and Fixes: Detects regressions from live traffic, pinpoints root cause across logs, metrics, and code, and generates fixes with supporting evidence.
AI Deployment Verification: Automatically verifies every software rollout against production behavior, catches regressions early, and provides clear insights on what changed and the next steps.
AI Alert Investigations: Investigates each alert automatically to filter out noise, returning the identified root cause and recommended next steps before an on-call engineer needs to dig in.
Zero-Code Instrumentation: Works without requiring manual code instrumentation or changes, leveraging eBPF technology for deep observability.
Rapid Setup: Becomes fully operational on your Kubernetes cluster in less than one minute, enabling immediate value.
Multi-LLM Support: Utilizes various Large Language Model providers to power its AI analysis and remediation suggestions, ensuring robust performance.
Enterprise-Grade Security: Offers SOC 2 Type II certification, on-premises deployment options, and the ability to run in your own VPC for enhanced security and compliance.
Metoro 's Use Cases
DevOps teams can automatically verify every Kubernetes deployment, catching performance regressions or bugs before they impact users, saving hours of manual verification.
Site Reliability Engineers (SREs) use it to investigate and root-cause alerts automatically, drastically reducing mean time to resolution (MTTR) and on-call fatigue.
Engineering managers leverage the platform to gain visibility into deployment health and system stability without deep diving into complex telemetry data.
Platform engineering teams provide a self-healing layer for their internal Kubernetes platform, improving reliability for all development teams.
Startups and small teams get enterprise-grade SRE capabilities without needing to hire a large dedicated operations team, accelerating development safely.
Large enterprises with complex, multi-cluster Kubernetes environments use it for centralized, AI-driven oversight and compliance across all deployments.
Metoro 's Pricing
Hobby
Free
Free forever plan for experimentation. Includes 1 cluster, 1 user, 2 nodes, and 200GB ingested per month.
Scale
$20 USD / node / month
Popular standard plan for most teams. Unlimited clusters, users, and nodes. 100GB ingested per node/month. Support via Slack.
Enterprise
Custom Pricing
For large organizations with custom needs. Includes bulk discounts, 24/7 white-glove support, custom SLAs, on-premises deployments, and BYOC options.
