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Instrumentation is the practice of collecting telemetry (metrics, logs, traces) from software and infrastructure to make behavior and performance measurable. It provides the foundation for observability, monitoring and incident response. Well-designed instrumentation simplifies debugging, capacity planning and enables data-driven operational decisions.
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Instrumentation adds measurement points to software that capture runtime behavior as metrics, logs, or traces.
The approach comes from measurement and control engineering and was adopted in software development for diagnosis and performance analysis. Modern standards such as OpenTelemetry connect instrumentation to portable formats and tools for distributed systems.
Place sensors at important points in a system: a log describes an event, a metric counts or measures, and a trace shows a request's path across components.
Measurements show quantities, states, or trends over time.
Related request steps are linked across components.
Code or runtime emits telemetry at a defined location.
Instrumentation provides the data foundation for observability, troubleshooting, and capacity planning. Good measurement points add context without unnecessary cost or sensitive data.
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