Observasaurus: Machine Data#

Computing systems generate log and metrics data used by DevOps teams to determine if they are working as expected. This data is called Machine Data to denote its automatic generation, high volume, and relatively low pre-processing value.

Log Analytics is the practice of analyzing machine data for Observability, troubleshooting, anomaly detection, and security purposes. See the Observe Log Explorer to get started with your log analytics journey.

Metrics Analysis is the practice of setting rules on a stream of metrics data so that problem states can be detected and corrected. See the Observe Metrics Explorer to get started understanding your metrics.