How to categorize logs for more effective monitoring

Logs are valuable sources of information that can be used for root cause analysis and audits. However, it is not always necessary to view the granular details of every log, especially in dynamic environments generating large volumes of logs. Instead, performing analytics on logs in aggregate can provide deep insights into applications and infrastructure at a lower cost. Datadog's log processing pipelines can automatically enrich logs with attributes that categorize them as they are ingested, allowing for efficient analysis of all logs. These pipelines can help categorize logs based on URL patterns, response duration, and standard severity levels. Once the logs are categorized, they can be used to drive indexing policies and analyze trends across different categories of logs.