At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.
At Sensu, we define monitoring as "the action of observing and checking the behavior and outputs of a system and its components over time." Essentially, you want to be made aware of a problem before your users are.