wide-events

Wide events are a single, rich canonical log line per request in distributed systems. They solve fragmented logging by attaching all relevant context—identity, user, business, performance, and outcome—to one event, enabling rapid incident investigation and better correlation.

Design a canonical log line for structured logging by defining a schema with identity, user, business, performance, and outcome fields. This wide-events approach attaches all relevant contextual data to a single event per request, enabling fast end-to-end querying across services.

You need canonical logs for incident investigation when traditional structured logging produces scattered, unstructured data across distributed services. Wide events consolidate contextual data into a single rich log line per request, enabling rapid queries and correlation during debugging.

Apply tail-sampling for span annotation in distributed systems by using a schema-driven instrumentation strategy. This approach captures contextual data across services, defining a canonical structure with identity and outcome fields to selectively sample and annotate traces for performance analysis.

A canonical log structure for observability should include field taxonomy for identity, user, business, performance, and outcome. This schema-driven instrumentation ensures wide events capture all relevant contextual data, enabling fast queries and end-to-end correlation across distributed services.