What does 'logging without limits' refer to in Datadog's terminology?

'Logging without limits' in Datadog’s terminology emphasizes the capability to ingest all log data while allowing for selective indexing based on user-defined rules. This feature enables organizations to capture a comprehensive set of log information without the constraints of traditional logging solutions that may limit the volume of data or require upfront decisions on what to log.

Selective indexing means that while all logs are ingested and available for real-time analysis or troubleshooting, only the logs deemed relevant or necessary for specific use cases are indexed. This approach optimizes storage and querying efficiency, enabling users to maintain a complete log history without incurring prohibitive costs associated with excessive data retention.

Other interpretations, such as unlimited data collection or free storage, do not accurately capture the nuances introduced by indexing choices and resource management central to the 'logging without limits' concept. Capturing only essential logs would conflict with the idea of ingesting everything and indexing selectively, as it implies a decision to filter out data rather than retain it for potential analysis. Thus, option B aligns with the true intent of this feature in Datadog's suite of logging tools.