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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. ....

Ali Siddiqui , Yogesh Gupta , Technology Advocate At Splunk , Progress Software , Gartner Coins , Sandi Mann , Chief Technology Advocate , Chief Product Officer , New Relic , Big Panda , அலி ஸிடீக்வி , யோகேஷ் குப்தா , ப்ரோக்ரெஸ் மென்பொருள் , மற்றும் நான் மான் , தலைமை தொழில்நுட்பம் வழக்கறிஞர் , தலைமை ப்ராடக்ட் அதிகாரி , புதியது நினைவுச்சின்னம் , பெரியது பாண்டா ,