An Intellyx Brain Candy Brief
Self-healing operations have been a Holy Grail of enterprise IT for many years now, and as with the Grail, it’s always been out of reach.
Appnomic gets closer to this vision for self-healing infrastructure than many other vendors who have attempted this quest via its judicious use of AI, in particular, machine learning (ML).
ML is particularly well-suited to extract inferences from patterns in large data sets, and that’s just what Appnomic does. It uses ML to detect problems by looking for anomalies in machine data, and then predicts future problems based upon past patterns. It can also forecast capacity needs following the same approach.
Based on such insights, Appnomic can provide early warning alerts, reduce the time it takes to isolate issues, and proactively differentiate between root causes of problems and their symptoms, even before those symptoms adversely impact users.
Appnomic uses insights to distinguish both application and workload behavior, and is able to predict and thus prevent issues with workloads, even when they are running on multiple nodes in virtualized or containerized environments.
Copyright © Intellyx LLC. Intellyx publishes the Cortex newsletter, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. To be considered for a Brain Candy article, email us at pr@intellyx.com.
