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What is Sampling

Sampling is about balancing observability depth with system performance.

  • Sampling decides which traces to keep or drop.
  • Reduces telemetry data volume.
  • Primarily applied to traces.
  • Balances observability and performance.

Why Sampling is Needed?

  • Observability systems generate large volumes of data.
  • Storing every trace is costly and unnecessary.
  • Sampling reduces data without losing visibility.
  • Unlike filtering or aggregation, sampling keeps data representative.
  • A small, well-chosen sample can reflect overall system behavior.
  • In high-traffic systems, 1% or less of data is often enough.

       Example
At 10k requests/sec, full tracing is impractical”.

Blog2

What is Sampling

Sampling is about balancing observability depth with system performance.

  • Sampling decides which traces to keep or drop.
  • Reduces telemetry data volume.
  • Primarily applied to traces.
  • Balances observability and performance.

Why Sampling is Needed?

  • Observability systems generate large volumes of data.
  • Storing every trace is costly and unnecessary.
  • Sampling reduces data without losing visibility.
  • Unlike filtering or aggregation, sampling keeps data representative.
  • A small, well-chosen sample can reflect overall system behavior.
  • In high-traffic systems, 1% or less of data is often enough.

       Example
At 10k requests/sec, full tracing is impractical”.

Hello world!

What is Sampling

Sampling is about balancing observability depth with system performance.

  • Sampling decides which traces to keep or drop.
  • Reduces telemetry data volume.
  • Primarily applied to traces.
  • Balances observability and performance.

Why Sampling is Needed?

  • Observability systems generate large volumes of data.
  • Storing every trace is costly and unnecessary.
  • Sampling reduces data without losing visibility.
  • Unlike filtering or aggregation, sampling keeps data representative.
  • A small, well-chosen sample can reflect overall system behavior.
  • In high-traffic systems, 1% or less of data is often enough.

       Example