Metoro
What is Metoro?
Metoro is a Kubernetes observability and incident-response platform for teams that want telemetry, alert investigation, and deployment verification in one system. It collects logs, metrics, traces, profiling, and Kubernetes events with an eBPF-based collector, then layers AI SRE, Autonomous Issue Detection and RCA, and Deployment Verification on top. It is used by Kong and Mozilla. Plans run Hobby free, Scale $20/month, and Enterprise custom.
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At a glance
- Metoro is best for Kubernetes teams that want observability and incident response without manual instrumentation.
- Hobby Free; Scale $20; Enterprise LET'S TALK
What does Metoro do?
Metoro collects telemetry from Kubernetes clusters with an eBPF-based collector, then correlates logs, metrics, traces, profiling, Kubernetes events, and deployment context so investigations start with connected evidence instead of scattered signals. Its APM, log management, infrastructure monitoring, and continuous profiling views are built to show service behavior, workload health, and release impact in one path. The AI SRE layer then uses that context to detect incidents, investigate alerts, verify deployments, identify root causes, and generate fix PRs. At scale, Metoro says it installs in under 60 seconds with one Helm command and is operational in under 5 minutes, with no code changes, SDKs, sidecars, or restarts. It supports Cloud, BYOC, and on-prem deployment options, and the site says it is trusted by hundreds of teams including Kong, Mozilla, Rappi, and DocioHealth. The platform also shows SOC 2 Type II certification and AI model usage billed at cost.
Why use Metoro?
- One collector captures seven signals at the kernel, so teams avoid stitching together separate agents and dashboards.
- The AI SRE layer turns detections into investigated incidents, which reduces time spent triaging alerts manually.
- Deployment verification and fix PR generation help teams catch regressions after releases and move from diagnosis to remediation faster.
- Cloud, BYOC, and on-prem options give teams flexibility when deployment control or isolation matters.
- Pricing is tied to Kubernetes node count, which keeps spend aligned with infrastructure rather than seat-based growth.
Who is Metoro for?
- Platform engineers who need cluster-wide telemetry without rolling out SDKs or sidecars.
- SRE teams who want alerts investigated with root-cause evidence instead of raw noise.
- Backend engineers who need service maps, traces, and logs tied to deployments.
- Operations leaders who want faster incident response across multiple Kubernetes clusters.
- Security-conscious teams who need Cloud, BYOC, or on-prem deployment options.
What are Metoro's key features?
Kubernetes monitoring
Monitors Kubernetes clusters across EKS, GKE, AKS, OpenShift, Rancher, k3s, and kind, so teams can spot issues in the same place they run workloads.
AI SRE
Uses an AI SRE agent to detect anomalies, investigate alerts, and suggest remediation, reducing manual triage during production incidents.
Kubernetes APM
Tracks application performance inside Kubernetes with APM, logs, metrics, and profiling, helping teams connect service slowdowns to cluster behavior.
AI Agent Monitoring
Observes AI workloads alongside Kubernetes infrastructure, with OpenAI and Microsoft integrations for teams running model-backed services in production.
Infrastructure Monitoring
Collects infrastructure signals from Kubernetes environments and resource views, giving operators a clearer picture of node and workload health.
Log Management
Centralizes logs for Kubernetes operations and AI log analysis, making it easier to search failures and correlate them with metrics and deployments.
Container Profiling
Profiles containers to show where CPU and memory time goes, helping teams find inefficient services before they affect cluster performance.
Custom Dashboards
Builds custom dashboards from metrics, logs, and APM data, so teams can track the exact signals they use to run Kubernetes.
What does Metoro integrate with?
- Slack
- Stripe
- AWS Marketplace
- OpenAI
- Microsoft
- Kubernetes
- EKS
- GKE
- AKS
- OpenShift
- Rancher
- k3s
- kind
What are Metoro's use cases?
Platform telemetry without SDK rollout
Platform engineers use Metoro to get cluster-wide visibility across Kubernetes without rolling out SDKs or sidecars. They rely on Kubernetes monitoring and the K8s Resource Viewer to spot unhealthy workloads fast, then use Metrics and Logs to confirm what changed before escalating.
Incident triage for SRE teams
SRE teams use Metoro to investigate alerts with evidence instead of noise. They lean on AI Alert Investigation and Autonomous Issue Detection and RCA to connect symptoms to likely root causes, then use AI log analysis to shorten time to resolution.
Deployment checks for backend engineers
Backend engineers use Metoro to verify service behavior after releases across Kubernetes services. They combine Kubernetes APM, Deployment Verification, and APM traces to see whether a deployment introduced latency, errors, or broken dependencies before customers feel it.
Multi-cluster response for ops leaders
Operations leaders use Metoro to coordinate incident response across multiple clusters from one place. With Custom Dashboards and Infrastructure Monitoring, they can compare cluster health, prioritize the worst blast radius, and keep teams aligned during production operations.
How does Metoro work?
- Connect your first Kubernetes cluster through the Install flow, choosing Kubernetes, EKS, GKE, AKS, OpenShift, Rancher, k3s, or kind as your environment.
- Let the one-minute install deploy the collector and start streaming Metrics, Logs, and APM data without adding SDKs or sidecars to services.
- Open Kubernetes monitoring and the K8s Resource Viewer to inspect workloads, then use Container Profiling and Cost Monitoring to spot noisy pods and expensive nodes.
- Turn on AI SRE and AI Alert Investigation so Metoro Detects anomalies, explains Root causes, and surfaces Autonomous Issue Detection and RCA for faster triage.
- Use Deployment Verification and Custom Dashboards to compare releases over time, then keep Slack alerts and AI log analysis running for ongoing production operations.
How much does Metoro cost?
Hobby
Free- 1 User
- 2 Nodes
- Free small-cluster plan
Scale
$20- Unlimited users
- Unlimited nodes
- Host-based billing by Kubernetes node
- Support via slack with our engineers
Enterprise
LET'S TALK- Unlimited users
- Unlimited nodes
- Bulk discounts
- 24/7 white glove support and onboarding
- Custom SLAs
- On-premises deployments
- Bring your own cloud - Metoro in your VPC managed by us.
Frequently asked questions
What is Metoro?
Metoro is a Kubernetes observability and incident-response platform for teams that want telemetry, alert investigation, and deployment verification in one system. It collects logs, metrics, traces, profiling, and Kubernetes events with an eBPF-based collector, then layers AI SRE, Autonomous Issue Detection and RCA, and Deployment Verification on top. It is used by Kong and Mozilla. Plans run Hobby free, Scale $20/month, and Enterprise custom.
How much does Metoro cost? Is it free?
Metoro has a free plan, with paid tiers including Scale at $20, Enterprise at LET'S TALK.
What is Metoro used for? Who is it for?
Metoro is used for Kubernetes monitoring, AI SRE, and Kubernetes APM. It's built for Platform engineers, SRE teams, and Backend engineers.
Does Metoro have an API and what does it integrate with?
Metoro doesn't publish a public API. It integrates with Slack, Stripe, AWS Marketplace, OpenAI, Microsoft, and 8 more.
Editor's read
Check the node-based pricing against your cluster footprint before rollout. Hobby caps at 1 cluster, 1 user, and 2 nodes, while Scale and Enterprise remove those limits but bill around Kubernetes node count.
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