AIOps
- Introduction
AIOps, short for Algorithmic IT Operations,[1] is also known as Artificial Intelligence for IT Operations.[2] It involves tasks like automation, performance monitoring, and event correlations.[3][4]
- AIOps Platform Structure
The core of an AIOps platform revolves around Machine learning and big data. To gather observational and engagement data, a comprehensive machine learning and analytics strategy is applied to combined IT data. This approach aims to provide continuous insights and improvements via automation, effectively making AIOps the CI/CD for essential IT functions.[5][6]
- References
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<ref>tag; no text was provided for refs namedTech - ↑ "AIOps: Managing the Second Law of IT Ops - DevOps.com". devops.com. 22 September 2017. Retrieved 24 January 2018.
- ↑ Harris, Richard. "Explaining what AIOps is and why it matters to developers". appdevelopermagazine.com. Retrieved 24 January 2018.
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