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Metoro Kubernetes Profiling
What it is
Metoro Kubernetes Profiling continuously analyzes Kubernetes workloads with a kernel-level eBPF sampling profiler. It produces interactive flame graphs that can be grouped by service, pod, or container, then filtered by cluster, namespace, deployment, or Kubernetes label. The profiler samples at 97Hz per CPU core and is designed to use less than 0.5% CPU overhead per node. Supported runtimes include Go, Python, C++, C, Rust, Node.js, and Java; other runtimes can appear through host-level frames. It can profile third-party containers and vendor workloads, and requires no SDKs, code changes, language agents, restarts, or rebuilds. Profiles connect with Metoro APM traces, logs, metrics, pod state, and deployment context. Installation uses Helm, with Cloud, BYOC, and on-premises options. The free Hobby plan covers one cluster, one user, and two nodes with 28-day retention. Scale is $20 USD per node per month, plus $0.20 per GB above 100GB per node. Enterprise pricing is by contract.
For and against
For
- Interactive flame graphs with multiple grouping and filtering options
- Can profile third-party containers and vendor workloads
- No application changes, agents, restarts, or rebuilds required
- Free plan includes 28-day retention
- Cloud, BYOC, and on-premises deployment options
Against
- Free plan is limited to one cluster, user, and two nodes
- Scale charges $0.20 per GB above 100GB per node
- eBPF requires Linux kernel 4.18 or newer
The verdict
Metoro combines Kubernetes profiling with linked APM and deployment context, and offers several deployment models. The free plan is limited in cluster, user, and node count; larger deployments use per-node pricing.
Who it suits
It suits teams profiling Kubernetes workloads that want runtime views alongside application traces and deployment context. It supports Linux-based Kubernetes distributions, with eBPF requiring Linux kernel 4.18 or newer.
Plans and prices
Hobby
1 cluster · 1 user · 2 nodes · 28-day retention
Read 15 Oct 2026 · metoro.io
Cloud
Fully managed cloud · unlimited users · SSO/SAML · full observability
Read 15 Oct 2026 · g2.com
Scale
Unlimited clusters · unlimited users · unlimited nodes · 28-day retention
Read 15 Oct 2026 · metoro.io
BYOC
Isolated instance in your cloud · feature parity with Cloud · managed by Metoro · one-month pilot
Read 15 Oct 2026 · g2.com
Enterprise
Unlimited clusters · unlimited users · unlimited nodes · bulk discounts
Read 15 Oct 2026 · metoro.io
On Prem
Isolated instance · customer-managed · dedicated support engineer · one-month pilot
Read 15 Oct 2026 · g2.com
On the record
- AI operations
- Metoro offers automated issue detection, alert investigation, root-cause analysis, deployment verification, runtime-to-code context and remediation workflows.metoro.io · read 15 Oct 2026
- AI privacy
- The AI policy says AI is opt-in, providers do not train on customer data, connections and stored results are encrypted, and agents have no general internet access.metoro.io · read 15 Oct 2026
- API
- The API reference documents a POST environment-creation endpoint using bearer authentication that returns an environment token.metoro.io · read 15 Oct 2026
- APM
- Its eBPF collection maps Kubernetes services, requests, latency, errors and traces without manual instrumentation.metoro.io · read 15 Oct 2026
- Automatic instrumentation
- Metoro installs an eBPF DaemonSet with Helm and gathers telemetry without application code changes, SDKs, sidecars or container restarts.metoro.io · read 15 Oct 2026
- Company founding
- LinkedIn gives Metoro a 2023 founding year and San Francisco, California headquarters.linkedin.com · read 15 Oct 2026
- Company size
- LinkedIn lists Metoro as privately held with 11–50 employees.linkedin.com · read 15 Oct 2026
- Continuous profiling
- The Kubernetes Profiling feature continuously samples CPU activity at the kernel, attributes stacks to pods and services, and relates changes to deployments, traffic shifts and noisy neighbors.metoro.io · read 15 Oct 2026
- Correlation
- Profiles are connected to Metoro APM traces, logs, metrics, pod state, and deployment context.metoro.io · read 30 Sep 2026
- Deployment
- Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment.metoro.io · read 30 Sep 2026
- Deployment options
- Metoro offers managed Cloud, BYOC in a customer account and on-premises deployment models.metoro.io · read 15 Oct 2026
- Documentation and support
- Metoro provides Mintlify-hosted technical documentation, a community Slack and dedicated Slack Connect support for customers.metoro.io · read 15 Oct 2026
- Flame graphs
- Interactive flame graphs can be aggregated by service, pod or container and filtered by cluster, namespace, deployment or Kubernetes label.metoro.io · read 15 Oct 2026
- Funding
- Crunchbase lists a Metoro pre-seed funding round, but the amount and date are hidden on the public page.crunchbase.com · read 15 Oct 2026
- Instrumentation
- Profiling requires no SDKs, application code changes, language agents, restarts, or rebuilds.metoro.io · read 30 Sep 2026
- Integrations
- Official documentation lists Slack, PagerDuty and webhooks as alert destinations, while the Cloud page also names Datadog and Grafana.metoro.io · read 15 Oct 2026
- Kubernetes support
- Metoro states support for EKS, GKE, AKS, OpenShift, Rancher, k3s, kind, and self-managed CNCF-conformant Kubernetes distributions; eBPF requires Linux kernel 4.18 or newer.metoro.io · read 30 Sep 2026
- Languages
- Metoro lists Go, Python, C++, C, Rust, Node.js, and Java as supported runtimes, with host-level frames for other runtimes.metoro.io · read 30 Sep 2026
