There’s a ton of money that can be saved by automating these processes. And there’s a whole host of tools for everything from full orchestration systems to pipeline stripping to make it possible. But the first step is to analyze where time is being spent on the repetitive, easily duplicated tasks and automating those.
There are a lot of different tools out there, and the amount of data that’s coming together is enormous. With the emergence of big data and machine learning, we have the ability to put all the different points of monitoring into one system and bring all the data together to provide a single picture of how everything is performing.
Correlate your performance data with your incident data to actually predict when a problem is more likely to occur so you can fix the root cause or the underlying issue before it impacts your users.