Mounting IT complexities render traditional, domain-centric monitoring and IT operations management inadequate because they can’t correlate the onslaught of data created by various IT domains. They’re also unable to provide the insights that IT operations teams need to proactively manage their environments.
IT organizations need to modernize their processes by applying a new class of technology that uses machine learning to automatically detect patterns and reduce noise, but that’s not all. If the IT inventory data is inaccurate, or without an application-centric view of the entire stack correlated with potentially disruptive operational events, powerful machine learning or artificial intelligence algorithms cannot work their magic.
