Metoro Kubernetes Profiling vs Zymtrace
Metoro Kubernetes Profiling
metoro.ioZymtrace
zymtrace.comSide by side
| Figure | Metoro Kubernetes Profiling | Zymtrace |
|---|---|---|
| Price from | $20/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 3 |
| Spec score · Continuous Profiling Tools | 8.8 (#5) | 7.4 (#19) |
| Deployment | Metoro is installed with Helm and is available as Metoro Cloud, BYOC, or on-premises deployment. | The pricing page says all plans are self-hosted and that no data leaves the customer’s infrastructure. |
| Integrations | Official documentation lists Slack, PagerDuty and webhooks as alert destinations, while the Cloud page also names Datadog and Grafana. | Zymtrace exposes profiling data through MCP for AI agents and provides a REST API in each instance. |
| Purpose | Metoro continuously profiles Kubernetes workloads using an eBPF sampling profiler running at the kernel level. | Zymtrace profiles CPU and GPU workloads to identify performance bottlenecks and optimize AI training and inference. |
| Support | The Scale plan includes support via Slack with Metoro engineers, while Enterprise includes 24/7 white-glove support and onboarding. | Basic includes community support; Enterprise lists dedicated Slack and Google Meet support and custom SLAs. |
Plans
Metoro Kubernetes Profiling
- HobbyFree
- Cloud$20 a month
- Scale$20 a month
- BYOCPrice not published
- EnterprisePriced on request
- On PremPrice not published
In their own words
Metoro Kubernetes Profiling
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.
Zymtrace
Zymtrace profiles CPU and GPU workloads to help teams find performance bottlenecks in AI training and inference. Its whole-system CPU profiler supports languages including Python, Java, Go, Rust, C/C++, Node.js, Ruby,.NET, PHP, Perl, Zig, and Scala. GPU tools correlate CPU and GPU execution, inspect CUDA kernels, GPU instructions, and stall reasons, and monitor measures such as utilization, memory, power, temperature, SM efficiency and occupancy, Tensor Core utilization, and data transfer rates. The GPU profiling page lists vLLM, Ollama, llama.cpp, and SGLang as supported inference engines. Zymtrace runs on Linux; the maker says eBPF dependence currently rules out Windows. All plans are self-hosted, and the maker says customer data stays within customer infrastructure. The air-gapped option performs processing and analysis locally. Instances provide a REST API, and profiling data can be exposed through MCP for AI agents. OpenTelemetry resource attributes and standard-format export are supported. Basic is free, billed Free Forever, and covers CPU profiling for up to five concurrent machines; GPU profiling is available as a trial.