Summary
AIOps is the new kid on the block. These are complex systems that help organizations in detecting changes and anomalies in their IT environments and already predict what impact these events might have on other components within their environments. AIOps systems can even predict this from planned changes coming from DevOps systems such as CI/CD pipelines. To be able to do that, AIOps makes use of big data analysis: it has access to a lot of different data sources, inside and outside IT environments. This data is analyzed and fed into algorithms: this is where AI comes in, and ML. AIOps systems learn so that they can actually predict future events.
AIOps are complex systems that require vast investments from vendors and thus from companies that want to start working with AIOps. However, most organizations want to become more and more data-driven, meaning that data is driving all decisions. This makes a company more agile and faster in responding to market changes.
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