Cloud computing and AI/machine learning (ML) are two powerful technologies that are even more impactful when used together. Cloud computing provides the infrastructure and resources needed to support AI/ML applications; while AI/ML enhances cloud computing by providing intelligent automation and decision-making capabilities.
In today’s world of distributed systems in the cloud, managing and monitoring a system’s performance is a chore—albeit a necessary chore. With hundreds or even thousands of items to watch, anomaly detection can help point out where an error is occurring, which enhances root cause analysis, and quickly gets tech support on the issue. Anomaly detection helps the monitoring cause of chaos engineering by detecting outliers and informing the responsible parties to act.
