Anteon vs Parca

Anteon is an open-source platform for Kubernetes monitoring and performance testing, offered as Cloud, Self-Hosted, and an AWS Marketplace deployment. Its monitoring builds a Kubernetes service map without code instrumentation or sidecars and displays live CPU, memory, disk, and network metrics. Monitoring uses the Alaz eBPF agent as a DaemonSet on the cluster. For performance testing, users can create no-code scenarios, generate load from over 25 countries, and import tests from Postman. Integrations include OpsGenie, email, Slack, and Prometheus. The product supports Linux, macOS, web, and API access; self-hosting supports Linux and macOS but not Windows. Its load testing API is listed for Cloud and Self-Hosted Enterprise, not Self-Hosted Community Edition. Cloud Pro costs $99 a month until usage exceeds the included amount, then charges depend on usage. Users can set a hard limit that halts operations. Pro includes two weeks of retention and no seat limit; a 14-day trial is available.

Parca is a self-hosted profiling system that collects and stores CPU, memory, I/O, and other profiles for queries over time. Its eBPF-based Parca Agent captures user-space and kernel-space stack traces, while the system also accepts valid pprof-formatted profiles pushed through gRPC or pulled from targets over HTTP. Users can query by labels, compare dimensions such as processes or code versions, and view profiles in the web interface with Icicle Graphs. A Grafana plugin can display profiles stored in Parca. The agent supports automatic profiling for languages including C, C++, Go, Rust, .NET, Deno, Erlang, Java, Julia, Node.js, Wasmtime, PHP, Ruby, and Python. Installation options include binaries, containers, Kubernetes, and Snaps. Parca is open source under the Apache 2 License and is free. The agent requires Linux kernel 4.18 or newer and privileged access to load eBPF programs. Parca says it receives profiling statistics and function-name metadata, not binaries or source code.