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The combination of Parca for continuous profiling, Beyla for eBPF auto-instrumentation, and Grafana as the visualisation layer delivers deep observability without touching code. A look at how the three pieces fit together and where the limits still show.
Continuous profiling with eBPF samples every process's execution stack every few milliseconds without touching the code, then stores the history so you can compare last week's performance with today's. The cost measured in production runs between 1% and 3% of CPU, and it pays off most in databases, API gateways and high-concurrency services.
eBPF-based continuous profiling captures CPU flame graphs for every process on a Linux node around the clock, without instrumenting code or restarting services, at under 1% overhead. Parca covers the whole cluster, Beyla adds automatic HTTP/gRPC metrics and traces, and Pyroscope brings native per-language detail to the most critical services.
Parca is a continuous profiling tool based on eBPF that samples CPU usage across an entire Kubernetes cluster around the clock, without instrumenting application code and with under 1% overhead. It catches performance regressions before production and makes flame graphs practical for everyday debugging.
