Gyeeta vs Metoro Kubernetes Profiling

Gyeeta is a free, open-source observability tool for Linux that runs in a self-hosted setup. It uses eBPF and kernel statistics to monitor hosts, services, and processes without application instrumentation. For TCP services, it reports query rates, latency, network throughput, active connections, and process resource use. Automatic discovery finds TCP services, clients, and dependencies without code changes or configuration inputs. Algorithms can identify service degradation or contention and suggest a probable cause. You can inspect results in a Web UI or query REST APIs, including queries spanning multiple hosts, with JSON responses. Alert notifications support email, Slack, PagerDuty, and webhooks. Documentation says data remains in-house. Installation is available through shell scripts, Helm charts, Docker containers, rpm or deb packages, and tar packages. The architecture documentation describes monitoring tens of thousands of hosts with one central server and intermediate servers. Gyeeta supports x86_64 Linux hosts with kernel 4.4 or newer.

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.