In traditional IT organizations, engineering and architecture groups have the luxury of defining and describing what should be... Infrastructure and Operations teams, on the other hand, assume the unenviable responsibility of dealing with the world as it really is, experiencing the highs and the lows of day 2 operations, traversing the challenges of services being leveraged in ways they were never intended, predicting how things might go wrong and having a corresponding toolbox for each possible eventuality. This combined with recent trends that emphasize greater degrees of change and agility within a company’s IT landscape means that things will break. As a result, there’s been significant transformation around the methods and tools applied to operate IT infrastructures along with the needed skills. For example, analytics no longer is limited financial data modeling but is now being applied to day to day incident management – ML is no longer just for cracking enemy nation communications – and AI isn’t just a Hollywood concept but is now weaved into the tooling leveraged for monitoring networks and apps.

Today, we’ll dive into these changes, how they’re impacting enterprise IT and cover how their power can be harnessed for increased efficiency. 

I’m joined today by two of my colleagues and friends, Benjamin Hodge and Barry Gleeson…

Jason | Ben Hodge | Barry Gleeson