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Event

As explained in Cloud Observability in Action

An event is an occurrence of interest in code, including expected behavior and unexpected or erroneous behavior.

An event is anything of interest that happens in code, including expected behavior such as a completed upload and unexpected behavior such as a failed shopping-basket write. section 2.3

Events become useful operational signals when they are recorded and interpreted with context:

  • Logs capture events in a textual payload; timestamps and labels support correlation, while structured output makes events more actionable. section 2.3
  • Common levels distinguish fine-grained debugging from expected production behavior and unexpected or erroneous behavior. section 2.3
  • Terms such as log line, log item, and log entry are generally interchangeable with log event. section 2.3

Instrumentation can capture events automatically or through code. Auto-instrumentation offers a baseline view but treats a service as a black box; manual instrumentation adds business-logic signals by configuring OpenTelemetry and creating events for traces or metrics. section 4.3.1

How Cloud Observability in Action covers it

How deep it goes
Defines events, distinguishes expected and erroneous behavior, and connects them to logging and instrumentation without detailing event schemas.
Examples
Uses completed uploads, failed shopping-basket writes, debug events, and production INFO, WARNING, or ERROR events.
What you can do after
Apply event concepts by structuring useful logs and adding manual OpenTelemetry signals where automatic instrumentation lacks business context.
How it connects
Connects events to logs, log levels, correlation, telemetry signals, OpenTelemetry, traces, metrics, and instrumentation.

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This explainer was generated by Manning's knowledge graph from the text of Cloud Observability in Action. The section links point to the parts of the book it draws on.