Log signal
Also known as Log signal
Definition
Log signal is a timestamped record of an event or state transition emitted by software or infrastructure.
What Log signal shows
Log signal is a timestamped record of an event or state transition emitted by software or infrastructure. It matters when a team can state the decision the evidence should support, the population being measured, and the time window in which the observation matters. That framing keeps a familiar label from becoming a dashboard tile with no operational meaning. The collection method and owner should be visible whenever the signal is used in a review.
A concrete example
A structured record preserves the validation field, release identifier, and trace ID for a rejected configuration. A useful workflow records relevant context, compares the observation with an appropriate baseline, and follows the evidence to the service or change that may explain it. The signal should start a question rather than close the investigation. Teams should also record what action follows a meaningful change and how the result will be checked.
Limitations and tradeoffs
Logs may be noisy, duplicated, truncated, inconsistent, or unsafe if they contain secrets or personal data. Interpret log signal alongside related signals and explicit service objectives. Sampling, aggregation, clock behavior, retention, and access policy can all affect what an operator sees. When those details are missing, conclusions should remain provisional and a precise-looking value should not be presented as a complete account of user experience.
How this relates to Weave
Weave can help teams connect engineering delivery evidence with log signal questions. It can provide context from code, reviews, releases, and ownership, while the direct log signal measurement should remain in the system that collects it. Treat relationships as investigation leads and verify them against service telemetry and user impact.
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