Observasaurus: Log Analytics

Log Analytics is the practice of analyzing massive amounts of machine generated log data for Observability, troubleshooting, anomaly detection, and security purposes.

Whether large scale or small, all computing systems generate some amount of log data used by DevOps teams to determine if they are working as expected. These machine data logs can be used by developers, analysts, and engineers for that same purpose at scale, as well as unintended purposes like business analytics or security risk evaluation.

See the Observe Log Explorer to get started with your log analytics journey.