The more the enterprise transitions from a mere digital organization to a fully intelligent one, the more data executives will come to realize that traditional monitoring and management of complex systems and processes is not enough.
What’s needed is a new, more expansive form of oversight – which lately has come to be known as “data observability.”
The what and the why of observability
The distinction between observability and monitoring is subtle but significant. As VentureBeat writer John Paul Titlow explained in a recent piece, monitoring allows technicians to view past and current data environments according to predefined metrics or logs.
