Metoro Kubernetes Profiling
7.5#3 in ebpf observability toolsFrom $20 a monthFree planWebAPILinuxSelf-hosted
VisitMetoro Kubernetes Profiling vs Odigos
What both publish
| Fact | Metoro Kubernetes Profiling | Odigos |
|---|---|---|
| Deployment | Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment. | The company describes installation on Kubernetes, VMs, and bare metal; its plan comparison specifies Linux VM/cloud VM and Linux bare metal tracing. |
| Instrumentation | Profiling requires no SDKs, application code changes, language agents, restarts, or rebuilds. | Odigos captures missing runtime evidence live without requiring an instrumentation release or redeploy. |
| Languages | Metoro lists Go, Python, C++, C, Rust, Node.js, and Java as supported runtimes, with host-level frames for other runtimes. | The pricing page lists Go, Java, Python, .NET, JavaScript, PHP, and Ruby as supported languages. |
| Purpose | Metoro continuously profiles Kubernetes workloads using an eBPF sampling profiler running at the kernel level. | Odigos records live runtime activity inside services so engineers, AI agents, and security teams can investigate production behavior without changing application code. |
| Support | The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding. | The open source plan provides Odigos community support, while Enterprise lists 24/7 premium support. |
Metoro Kubernetes Profiling plans
- HobbyFree
- Cloud$20 a month
- Scale$20 a month
- BYOC—
- EnterprisePriced on request
- On Prem—
Odigos plans
- Open SourceFree
- EnterprisePriced on request
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.
Pick Odigos if…
Odigos suits engineering and security teams that need production runtime evidence or want to investigate and contain application issues. It is intended for self-hosted deployments, including Kubernetes, VMs, and bare metal.