Hardware observability is the ability to infer a physical system’s internal state and understand its behavior from telemetry, logs, and other measurements. It gives engineers the evidence to investigate unexpected events, examine interactions between subsystems, and assess behavior during tests and operation.
Sift combines time-series telemetry, logs, video, and other machine data for live and historical investigation. Engineers use Explore to inspect signals at full fidelity, correlate events, and compare behavior across Runs.
For example, an engineer investigating a pressure drop can examine nearby valve commands and log events to establish what happened before and during the change. Annotations capture findings alongside the data, and Rules turn defined conditions into reusable checks. These capabilities connect observability with the analysis and review workflows of a hardware test platform.
See how hardware observability works in the Sift platform.
