Kerno
5.1#28 in ebpf observability toolsLinuxSelf-hosted
VisitKerno vs Metoro Kubernetes Profiling
Metoro Kubernetes Profiling
7.5#2 in ebpf observability toolsFrom $20 a monthFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Kerno | Metoro Kubernetes Profiling |
|---|---|---|
| Deployment | Kerno can run as a Kubernetes DaemonSet or as a binary on bare metal, VMs, EC2, and GCE; Docker images are published for Linux amd64 and arm64. | Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment. |
| Integrations | The project lists Prometheus metrics and ServiceMonitor support, Kubernetes pod enrichment, optional Anthropic, OpenAI, and Ollama providers, and systemd enrichment. | Official documentation lists Slack, PagerDuty and webhooks as alert destinations, while the Cloud page also names Datadog and Grafana. |
| Purpose | Kerno is an eBPF-based incident diagnosis engine for production issues across Linux, Kubernetes, VMs, and bare metal. | Metoro continuously profiles Kubernetes workloads using an eBPF sampling profiler running at the kernel level. |
| Security | The project says Kerno makes no outbound network calls by default and that AI integration is opt-in through the configured provider. | Metoro states SOC 2 Type II certification, TLS 1.3 in transit, AES-256 at rest, SSO/SAML, RBAC and audit logging for Cloud. |
| Support | The security policy directs general questions to GitHub Discussions and vulnerability reports to [email protected], with acknowledgment targeted within 48 hours. | The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding. |
Kerno plans
No prices published.
Metoro Kubernetes Profiling plans
- HobbyFree
- Cloud$20 a month
- Scale$20 a month
- EnterprisePriced on request
- BYOC—
- On Prem—
Pick Kerno if…
You want what its maker publishes above — check its page for the details.
Pick Metoro Kubernetes Profiling if…
It suits teams investigating application CPU and memory behavior in supported Kubernetes environments, including third-party containers they do not build. The free plan may fit small deployments; larger environments can consider Scale or Enterprise.