Is Datadog APM profiling overhead low enough for production Ruby on Rails applications running under heavy load or should we use something else
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The searches the AI actually ran for this prompt.
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Is Datadog APM profiling overhead low enough for production Ruby on Rails applications running under heavy load or should we use something else
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
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ChatGPT2 real searches · gpt-6
Datadog Ruby continuous profiler overhead production CPU memory allocation sampling overhead Ruby on Rails Google ↗
Ruby production continuous profiling alternatives overhead rbspy Vernier StackProf Pyroscope Parca 2026 Google ↗
- Building an always-on (Ruby) production profiler · ivoanjo.me
- Class: Datadog::Core::Configuration::Settings · datadoghq.dev
- Profile Types · docs.datadoghq.com
- Configuring the Ruby SDK · docs.datadoghq.com
- GitHub repository · github.com
- GitHub repository · github.com
- GitHub repository · github.com
- Enabling the Profiler · docs.datadoghq.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Datadog Ruby continuous profiler overhead production CPU memory allocation sampling overhead Ruby on Rails OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Ruby production continuous profiling alternatives overhead rbspy Vernier StackProf Pyroscope Parca 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |