09 Aug 4 things IT Ops needs to know about machine learning
You have a system that collects logs from your infrastructure, web servers, and applications. That’s 1.4TB of logs every day—more than 500TB over the course of a year. While you’re able to create some graphs that show how your systems are performing, identifying unusual behaviors and anomalies across all of your data in real time is nearly impossible. And because your business is global, this is a 24/7 responsibility for your IT team, which somehow needs visibility into these operations at all times.
As datasets collected by organizations increase in size and complexity, it becomes impractical to manually spot infrastructure problems, intruders, or business issues. There are simply not enough human resources available to watch for every potentially interesting metric around the clock.