Metoro Kubernetes Profiling
metoro.io
What it is
Metoro Kubernetes Profiling continuously profiles Kubernetes workloads with an eBPF sampler running at the kernel level. It creates interactive flame graphs that can be grouped by service, pod, or container and filtered by cluster, namespace, deployment, or Kubernetes label. Metoro lists Go, Python, C++, C, Rust, Node.js, and Java support, with host-level frames for other runtimes. Profiling does not require SDKs, code changes, language agents, restarts, or rebuilds, and can cover third-party containers and vendor workloads. Profiles connect to Metoro APM traces, logs, metrics, pod state, and deployment context. Installation uses Helm, with Cloud, BYOC, and on-premises deployment options. The free Hobby plan includes one cluster, one user, and two nodes with 28-day retention. Scale costs $20 USD per node per month, plus $0.20 per GB above 100GB per node. Enterprise pricing is contract-based and offers custom retention and SLAs. eBPF requires Linux kernel 4.18 or newer.
Spec sheet
- What it does
- Metoro is an AI SRE and Kubernetes observability platform that collects logs, metrics, traces, profiles, Kubernetes events and deployment context with eBPF, then investigates incidents and can open fix pull requests.Read 15 Oct 2026 · metoro.io
- Purpose
- Metoro continuously profiles Kubernetes workloads using an eBPF sampling profiler running at the kernel level.Read 30 Sep 2026 · metoro.io
- Deployment
- Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment.Read 30 Sep 2026 · metoro.io
- API
- The API reference documents a POST environment-creation endpoint using bearer authentication that returns an environment token.Read 15 Oct 2026 · metoro.io
- Integrations
- Official documentation lists Slack, PagerDuty and webhooks as alert destinations, while the Cloud page also names Datadog and Grafana.Read 15 Oct 2026 · metoro.io
- Security
- Metoro states SOC 2 Type II certification, TLS 1.3 in transit, AES-256 at rest, SSO/SAML, RBAC and audit logging for Cloud.Read 15 Oct 2026 · metoro.io
- Support
- The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding.Read 30 Sep 2026 · metoro.io
- AI operations
- Metoro offers automated issue detection, alert investigation, root-cause analysis, deployment verification, runtime-to-code context and remediation workflows.Read 15 Oct 2026 · metoro.io
- 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.Read 15 Oct 2026 · metoro.io
- APM
- Its eBPF collection maps Kubernetes services, requests, latency, errors and traces without manual instrumentation.Read 15 Oct 2026 · metoro.io
- Automatic instrumentation
- Metoro installs an eBPF DaemonSet with Helm and gathers telemetry without application code changes, SDKs, sidecars or container restarts.Read 15 Oct 2026 · metoro.io
- Company founding
- LinkedIn gives Metoro a 2023 founding year and San Francisco, California headquarters.Read 15 Oct 2026 · linkedin.com
- Company size
- LinkedIn lists Metoro as privately held with 11–50 employees.Read 15 Oct 2026 · linkedin.com
- 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.Read 15 Oct 2026 · metoro.io
- Correlation
- Profiles are connected to Metoro APM traces, logs, metrics, pod state, and deployment context.Read 30 Sep 2026 · metoro.io
- Deployment options
- Metoro offers managed Cloud, BYOC in a customer account and on-premises deployment models.Read 15 Oct 2026 · metoro.io
- Documentation and support
- Metoro provides Mintlify-hosted technical documentation, a community Slack and dedicated Slack Connect support for customers.Read 15 Oct 2026 · metoro.io
- Flame graphs
- Interactive flame graphs can be aggregated by service, pod or container and filtered by cluster, namespace, deployment or Kubernetes label.Read 15 Oct 2026 · metoro.io
- Funding
- Crunchbase lists a Metoro pre-seed funding round, but the amount and date are hidden on the public page.Read 15 Oct 2026 · crunchbase.com
- Instrumentation
- Profiling requires no SDKs, application code changes, language agents, restarts, or rebuilds.Read 30 Sep 2026 · metoro.io
- 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.Read 30 Sep 2026 · metoro.io
- Languages
- Metoro lists Go, Python, C++, C, Rust, Node.js, and Java as supported runtimes, with host-level frames for other runtimes.Read 30 Sep 2026 · metoro.io
- Limit: G2 reviewer
- That reviewer said the main difficulty was making sense of the large amount of information presented.Read 15 Oct 2026 · g2.com
- Limit: independent review
- FunBlocks said regulated teams may be uneasy about AI-generated code changes and requested finer controls over agent decisions plus broader custom-CRD support.Read 15 Oct 2026 · funblocks.net
- Logs and events
- The platform searches application logs, Kubernetes events, deployment changes and workload metadata through one investigation path.Read 15 Oct 2026 · metoro.io
- MCP and SDK extensibility
- Metoro publishes an MCP server that can be built in Go and exposes tools for querying Metoro data from AI clients, although it cannot start an AI investigation run directly.Read 15 Oct 2026 · metoro.io
- Notable news
- LinkedIn records Metoro’s Product Hunt launch announcement approximately six months before the page capture.Read 15 Oct 2026 · linkedin.com
- OpenTelemetry
- The in-cluster exporter accepts custom metrics through an OTLP HTTP endpoint and examples are provided for Python, Go and Node.js.Read 15 Oct 2026 · metoro.io
- Overhead
- The profiler samples at 97Hz per CPU core and is designed for less than 0.5% CPU overhead per node.Read 30 Sep 2026 · metoro.io
- Praise: G2 reviewer
- The sole G2 reviewer praised simple Helm installation, fast support, useful dashboards, AI-assisted root-cause work and replacing part of an ELK stack.Read 15 Oct 2026 · g2.com
- Praise: independent review
- FunBlocks described eBPF telemetry, autonomous root-cause analysis, pull-request fixes and a single Helm installation as major strengths.Read 15 Oct 2026 · funblocks.net
- Praise: Reddit user
- A Kubernetes user reported that Metoro fit a small team’s function-to-price needs while combining eBPF traces, built-in and custom OTEL metrics, and logs.Read 15 Oct 2026 · reddit.com
- Profile AI analysis
- Metoro AI compares profile shapes over time to flag new hot paths, regressions and optimization candidates tied to changed stack frames.Read 15 Oct 2026 · metoro.io
- Profiling limitation
- For languages outside the supported set, Metoro shows native runtime methods but does not attribute CPU time to the interpreted function itself.Read 15 Oct 2026 · metoro.io
- Profiling overhead
- The documentation says its sampling profiler normally adds less than 0.5% CPU overhead and samples at 97Hz.Read 15 Oct 2026 · metoro.io
- Public repository licensing
- Metoro’s GitHub organization lists the metoro-mcp-server and several auxiliary repositories as public MIT-licensed projects; the core hosted product is not presented as open source.Read 15 Oct 2026 · github.com
- Rating on G2
- 5.0 out of 5 from 1 review.Read 15 Oct 2026 · g2.com
- Rating on Gartner Peer Insights
- No rating is shown because Gartner lists no reviews yet.Read 15 Oct 2026 · gartner.com
- Rating on GetApp
- 0 out of 5 from 0 reviews.Read 15 Oct 2026 · getapp.com
- Source control
- The GitHub integration uses a GitHub App and can create pull requests with suggested fixes and GitHub issues from investigations.Read 30 Sep 2026 · metoro.io
- Supported runtimes
- The profiling page lists Go, Python, C++, C, Rust, Node.js and Java, plus additional runtimes, with no language agent required.Read 15 Oct 2026 · metoro.io
- System footprint
- The infrastructure page says eBPF monitoring typically uses less than 1% CPU per node and supports EKS, GKE, AKS, OpenShift and bare-metal Kubernetes.Read 15 Oct 2026 · metoro.io
- Third-party workloads
- The eBPF profiler can profile third-party containers and vendor workloads that the customer does not build.Read 30 Sep 2026 · metoro.io
Plans and prices
Hobby Free Free forever 1 cluster · 1 user · 2 nodes · 28-day retention Read 15 Oct 2026 · metoro.io
Cloud $20 a month $20 per host/month Fully managed cloud · unlimited users · SSO/SAML · full observability Read 15 Oct 2026 · g2.com
Scale $20 a month $20 USD per Kubernetes node/month; $0.20/GB over 100GB per node Unlimited clusters · unlimited users · unlimited nodes · 28-day retention · engineer Slack support Read 15 Oct 2026 · metoro.io
BYOC Price not published Contact us Isolated instance in your cloud · feature parity with Cloud · managed by Metoro · one-month pilot Read 15 Oct 2026 · g2.com
Enterprise Priced on request Let's talk Unlimited clusters · unlimited users · unlimited nodes · bulk discounts · 24/7 support · custom SLA · on-premises · BYOC Read 15 Oct 2026 · metoro.io
On Prem Price not published Contact us Isolated instance · customer-managed · dedicated support engineer · one-month pilot Read 15 Oct 2026 · g2.com
Strong points and limits
Strong points
- Profiles workloads without application changes or restarts.
- Can profile third-party and vendor containers.
- Flame graphs support several grouping and filter options.
- Offers Cloud, BYOC, and on-premises deployment.
Limits
- eBPF requires Linux kernel 4.18 or newer.
- Hobby is limited to two nodes.
- Scale charges extra above 100GB per node.
Who it suits
Metoro suits teams profiling Kubernetes workloads that want to connect performance data with traces, logs, metrics, and deployment context. It also fits teams that need BYOC or on-premises deployment options.
Verdict
Metoro links kernel-level profiling with application and Kubernetes context, without requiring code instrumentation. Review the node-based Scale pricing and kernel requirement before choosing it.
Where Specifiction places it
- eBPF Observability Tools#3 of 298.8
- Continuous Profiling Tools#5 of 308.8
