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Understanding AIOps: History, Uses, and Future

To understand AIOps, it helps to consider one very weird thought: the technological systems that we humans have built have become too complex to be managed by mere humans. Specifically, the IT operations that run businesses have galloped forward in complexity, leaving their human masters in semi-bewilderment. It’s a great irony of human intelligence: we’ve built IT systems that are so advanced that they are, in essence, overwhelming us. (That does raise troubling questions about the human race, but that’s a discussion for another day.) Things didn’t use to be this snarled. In the pre-cloud era of yore, monitoring our data centers was comparatively simple. A few key data feeds offered a portrait of how the machines were running (or not running). A team of IT pros was left alone to manage it, and few really knew what they were doing, or cared.

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