Telemetry is the automated collection, transmission and aggregation of measurements and signals from remote or distributed systems to a central point for monitoring and analysis. In software and infrastructure it commonly refers to the emission of metrics, logs, traces and events that describe a system’s behaviour and health. Telemetry data is the raw substrate on which observability, alerting and performance analysis are built.
In Plain Terms
- The steady stream of readings a running system reports about itself — how fast it is going, what it is doing, and where it is struggling. It is the raw data that dashboards and alerts are built from, much like the gauges on a car dashboard.
Overview
- The term originates in remote sensing, where measurements from inaccessible locations were transmitted back for analysis. In modern distributed systems, telemetry pipelines gather signals at the source through instrumentation, transport them efficiently, and store them as time-series, structured logs or trace spans. Standards such as OpenTelemetry have converged the emission and collection of these signals, decoupling instrumentation from any particular backend.
Key aspects
- The three pillars are metrics, logs and traces, often complemented by events.
- Instrumentation embeds measurement points in code and infrastructure.
- Transport and aggregation move signals to centralised stores efficiently.
- Sampling and cardinality management control data volume and cost.
- Standardised schemas enable vendor-neutral collection and analysis.
Applications
- Health monitoring and alerting for production services.
- Capacity planning and performance tuning of infrastructure.
- Root-cause analysis of incidents via correlated traces and logs.
- Fleet and device monitoring in IoT and robotics deployments.