Metoro has made visibility into our Kubernetes environment effortless with on-demand event analysis and AI-driven root-cause investigations. Nothing is hidden anymore.
NewGuardian · AI RCA & Fixes→
Kubernetes Observability with an AI SRE Agent
Metoro collects logs, metrics, traces, profiling, Kubernetes events, and deployment context from your cluster with eBPF.
AI agents use that context to detect production issues, investigate alerts, verify deployments, identify root causes, and open fix PRs.
One Helm install. No code changes. Operational in under 5 minutes.
Metoro Overview
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Observability · out of the box
One collector. Seven signals.
No code changes.
Metoro's collector runs as a DaemonSet on every node and captures the full telemetry stack at the kernel with no code changes, no SDKs, and no restarts. Every signal arrives pre-correlated with Kubernetes identity, so services, pods, and deploys already line up when the agent goes looking.
Logs
stdout/stderr + structuredStdout/stderr for every container, structured JSON parsed automatically.
Metrics
RED + USE + customRequest, error, duration, and resource metrics for every workload, auto-labeled with Kubernetes metadata.
Traces
distributed, zero-codeFull distributed request flow across services. eBPF creates spans without touching your app.
Profiling
continuous CPU + memoryOn-CPU flame graphs per process, always on. Spot hot paths and memory leaks without redeploying.
K8s Events
pods, nodes, deploymentsEvery event stored, indexed and queryable correlated to the workload they affected.
K8s Resources
versioned, every changeDeployments, ConfigMaps, CRDs, and more stored with full change history for point-in-time diffs.
Deployment Context
git SHA -> workloadEvery rollout tied to commit, author, PR, and the workloads it touched.
Unified store · One query language across all signals·OpenTelemetry / Prometheus-compatible for anything eBPF can't see
Install · under 5 minutes
One Helm install. No code changes.
Metoro installs as a DaemonSet. Because collection happens in the kernel via eBPF, there are no SDKs to add, no containers to restart, and nothing to change in your application code. It works the same on EKS, GKE, AKS, OpenShift, or bare-metal Kubernetes.
0:00helm installsingle command, any cluster
0:30DaemonSet readyone pod per node, kernel-hooked
2:00Signals flowinglogs, metrics, traces, events
5:00Agent activemonitoring, ready to investigate
install
The AI SRE Agent
Your clusters, now with an AI SRE Agent on it 24/7.
The same data that powers your dashboards becomes context for an agent that watches production continuously - detecting regressions, investigating alerts, verifying deploys, and opening fix PRs for issues as they arise.
AI Issue Detection and Fixes
Detection, investigation, remediation. Automated.
Metoro autonomously monitors all your services and infrastructure to detect issues. Once an issue is detected, Metoro automatically root causes it and opens a pull request with a fix.
AI Deployment Verification
Every deployment. Checked and verified.
Metoro detects every change across your clusters. After a change is detected, Metoro analyzes the change (code or config) and verifies that production behavior is not impacted.
AI Alert Investigations
Every alert, auto-investigated.
Metoro investigates each alert automatically, filters the noise, and returns root cause and next steps before on-call digs in so you can can wake up to answers, not problems.
How Metoro Differs
AI SRE Agents needs complete context
Most AI SREs inherit missing context, we don't. Every call. Every operation. We capture it at the kernel level with eBPF and kubernetes native observability.
Typical AI SRE
Inherited context
Telemetrypartial / unstructured
Inherited signals are incomplete and inconsistent across teams.
Code + Inframissing / dirty
Built for every architecture at once, so runtime context gets broader, noisier, and less reliable.
Outcomeguesswork
Missing context, dead ends, and weaker root cause analysis.
Guesswork
Missing context slows down detection, weakens RCA, and leaves more unanswered questions.
Metoro
Complete context
Telemetrye2e coverage
eBPF covers the cluster, with custom OpenTelemetry for app-specific signals.
Code + Infrafull context
Kubernetes-native context is already mapped, so the AI starts with clean workload awareness.
Outcomeunified context
Complete context before investigation starts.
Unified Context
Metoro gives the model the telemetry, workload, and deployment context it needs before the investigation begins.
Customer testimonials
What our customers say
Metoro absolutely slaps, so good ❤️
Detection, investigation, and the fix PR - all before I finished reading the page. It's the first AI SRE that's actually earned its name.
Metoro has been a huge boon to our observability ecosystem; saving us time and effort getting the information we care about most out of our clusters. The only thing cooler than the tool has been the people behind it.
It found exactly what I was looking for in the logs. Amazing.
We used to spend an hour digging through dashboards when something broke. Now Metoro figures it out in minutes - our on-call engineers love it.
AI root cause analysis is just amazing. Helps us save a ton of time.
We installed Metoro, and it just worked.
I'm literally able to look up at a Slack notification from Metoro whilst having noodles, tap the link, access the Metoro dashboard, see what customers on Porter Cloud are doing and take a call in real-time. For me, that's the best thing ever.
In the last week, we've detected and blocked 10 malicious agents running on our infrastructure. Without Metoro, they would still likely be running.
Metoro made it incredibly simple for us to not just observe and trace logs, but also to dive into AI-driven investigations effortlessly - turning complex Kubernetes monitoring into a smooth, intuitive experience.
Anyone running user agents on their infrastructure needs a solution like Metoro. It's just a case of when, not if a malicious agent will be running.
Pricing
Simple predictable pricing
Pay only for what you use, no hidden fees, no surprises.
Hobby
FREE
Free forever. For those who like to experiment.
Get startedFeatures
- 1 Cluster
- 1 User
- 2 Nodes
- 200GB Ingested / month
Popular
Scale
$20
USD / node / month
Data Transfer: $0.20 / GB on excess over 100GB / node.
Our standard plan for all but the largest teams.
Get startedFeatures
- Unlimited clusters
- Unlimited users
- Unlimited nodes
- 100GB Ingested / node / month
- Support via slack with our engineers
Enterprise
LET'S TALK
For large organizations with specific needs.
Features
- Unlimited clusters
- 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.
Purchase through Stripe in-platform, the AWS Marketplace listing, or our AWS Marketplace seller profile, whichever fits your preference. Compare prices with other vendors using our price calculators. See Metoro ROI for how Metoro can help you save money.
Support
FAQs
Everything you need to know about the product and billing. Cannot find the answer? Ask us in our Slack community.
What is eBPF?
eBPF is a linux kernel technology that allows us to run code in response to events that happen in the kernel. This allows us to collect telemetry data at the kernel level for each container so you do not have to instrument or restart any of your containers. Checkout more at ebpf.io.
What happens if there's a bug in Metoro? Will it crash my host?
This is a great question and this was previously a problem with linux kernel modules. However, eBPF is explicitly designed in such a way that an ebpf program crash will not cause the kernel to crash. More info at ebpf.io safety section.
How does Metoro work without manual instrumentation?
Metoro uses our own eBPF programs that are loaded into the kernel of all your nodes in the Kubernetes cluster. This means you do not need to restart your containers to start collecting data.
Which LLM providers does Metoro support for AI features?
Metoro currently uses OpenAI models for its AI features. The cloud offering uses Microsoft's hosted OpenAI API.
Do you offer on-premises installations?
Yes, we do as part of our enterprise offering. Please contact us for more information.
Do I need to enter my credit card details to sign up?
No, you do not need to enter your credit card details to sign up. You can sign up for free and use Metoro for free for limited workloads. When you are ready just upgrade to a paid plan.
Where are your docs?
How do I contact support?
We are available at our community slack, head on over! If you are a customer, reach out via your dedicated slack connect channel.