Telemetry

Telemetry is the automated gathering of measurements from a running system and their transmission to a remote system for storage and analysis. In software, telemetry is the raw signal data, metrics, logs, and traces, that makes observability possible.

How It Works

Applications and infrastructure are instrumented to emit telemetry. This can be done manually in code, automatically through agents and libraries, or through a mix of both. The data is collected by an agent or collector, often batched and enriched with metadata such as service name and environment, then exported to backends like time-series databases, log stores, and tracing systems. OpenTelemetry has become the de facto open standard, defining vendor-neutral APIs and an export protocol so that instrumentation is decoupled from any specific backend.

Why It Matters

Without telemetry, a running system is a black box. Telemetry turns its behavior into queryable data, enabling alerting, dashboards, capacity planning, and incident diagnosis. Standardizing on a common telemetry pipeline avoids vendor lock-in and lets teams swap analysis tools without re-instrumenting their code. Good telemetry also requires care: collecting too much raises cost and noise, while collecting too little leaves blind spots.

Related Terms

Telemetry is the data foundation of observability. Its main forms are metrics, structured logging, and the spans that make up distributed tracing.