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Cloud Native Architectures by Piyum Zonooz, Erik Farr, Kamal Arora, Tom Laszewski

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Predictive analytics, artificial intelligence, machine learning, and beyond

As a system evolves and moves further up the automation maturity model, it will rely more and more on the data it generates to analyze and act upon. Similar to the monitoring, compliance, and optimization design from the previous part of the axis, a mature cloud native architecture will constantly be analyzing log event streams to detect anomalies and inefficiencies; however, the most advanced maturity is demonstrated by using artificial intelligence (AI) and machine learning (ML) to predict how events could impact the system and make proactive adjustments before they cause performance, security, or other business degradation. The longer the event data collected is ...

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