Fix remaining 100Hz -> 19Hz mentions (#440)

* Fix remaining 100Hz -> 19Hz mentions * Clarify that 19Hz is per logical CPU
parca-dev · Feb 3, 2025 · 3f0d229 · 3f0d229
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diff --git a/docs/ingestion.md b/docs/ingestion.md
@@ -4,7 +4,7 @@ There are two ways to ingest data into Parca.
 
 ## Push based
 
-The recommended way to use for generic profiling is Parca Agent. Parca Agent is an always-on sampling profiler that uses [eBPF](https://ebpf.io/) to capture raw profiling data with very low overhead. It observes user-space, and kernel-space stack traces 100 times per second and builds [pprof](https://github.com/google/pprof) formatted profiles from the extracted data. For in-depth detail and explanation refer to the the [Parca Agent Design](/docs/parca-agent-design) documentation.
+The recommended way to use for generic profiling is Parca Agent. Parca Agent is an always-on sampling profiler that uses [eBPF](https://ebpf.io/) to capture raw profiling data with very low overhead. It observes user-space, and kernel-space stack traces 19 times per second per logical CPU and builds [pprof](https://github.com/google/pprof) formatted profiles from the extracted data. For in-depth detail and explanation refer to the the [Parca Agent Design](/docs/parca-agent-design) documentation.
 
 The collected data can be [sent to a Parca server](https://buf.build/parca-dev/parca/docs/main/parca.profilestore.v1alpha1), where it can be queried and analyzed over time.
 

diff --git a/docs/parca-agent-design.md b/docs/parca-agent-design.md
@@ -1,6 +1,6 @@
 # Design
 
-Parca Agent implements a sampling profiler, to sample stack traces [19 times per second](#cpu-sampling-frequency) via eBPF. It tracks user space as well as kernel-space stack traces. From the raw data, it builds a [pprof](https://github.com/google/pprof) formatted profile and optionally sends it to a Parca server where it is stored and can be queried and analyzed over time.
+Parca Agent implements a sampling profiler, to sample stack traces [19 times per second](#cpu-sampling-frequency) per logical CPU via eBPF. It tracks user space as well as kernel-space stack traces. From the raw data, it builds a [pprof](https://github.com/google/pprof) formatted profile and optionally sends it to a Parca server where it is stored and can be queried and analyzed over time.
 
 Parca Agent is a whole-system profiler. It collects stack traces from all the processes that run on the host system. This provides more insights about all the aspects of the system to the user. Please see our [blog post](https://www.polarsignals.com/blog/posts/2022/08/24/system-wide-profiling/) about internals of this mechanism.
 

diff --git a/docs/parca-agent.md b/docs/parca-agent.md
@@ -1,6 +1,6 @@
 # Overview
 
-Parca Agent is an always-on sampling profiler that uses [eBPF](https://ebpf.io/) to capture raw profiling data with very low overhead. It observes user-space, and kernel-space stack traces 100 times per second and builds [pprof](https://github.com/google/pprof) formatted profiles from the extracted data. For in-depth detail and explanation refer to the the [Parca Agent Design](/docs/parca-agent-design) documentation.
+Parca Agent is an always-on sampling profiler that uses [eBPF](https://ebpf.io/) to capture raw profiling data with very low overhead. It observes user-space, and kernel-space stack traces 19 times per second per logical CPU and builds [pprof](https://github.com/google/pprof) formatted profiles from the extracted data. For in-depth detail and explanation refer to the the [Parca Agent Design](/docs/parca-agent-design) documentation.
 
 The collected data can be viewed locally via HTTP endpoints and optionally be configured to be sent to a Parca server, where it can be queried and analyzed over time.