Building an operational data lake from disparate custom systems is difficult. Each system has different connection protocols and data structures making it difficult to collect, transform, and normalize the data for monitoring, machine learning, and notifications.
ScienceLogic SL1 makes it easy to collect data from systems using SSH commands to pull the necessary metrics, parse the results into normalized information, and store the data in a format that can be used to drive automated remediation.
