How are 'events' defined in Splunk?

In Splunk, 'events' are defined as individual records of data logged by machines. This definition emphasizes that each event represents a discrete piece of information that has been captured from a variety of sources, such as logs, metrics, or sensor data. The focus on individual records highlights the granular nature of data that Splunk processes, allowing users to index, search, and analyze this data effectively.

These events can originate from various sources, including application logs, server logs, network activity, and more. Each event typically includes a timestamp, which is crucial for time-based analysis, as well as other associated information that provides context about the logged data. This rich data structure enables users to perform detailed searches, create visualizations, and derive insights from their logs to help with monitoring, troubleshooting, and reporting.

The other options do not align with Splunk's definition of events. While time-series representation of data analysis indicates how data can be visualized over time, it does not capture the essence of what an event is. Structured data stored in databases refers to a different data management paradigm, and replicated data across multiple instances relates to data redundancy and availability rather than the core concept of events in logging and monitoring contexts.