What exactly is AI good for? Quite a bit it turns out, and specifically for network operations, where AI is now shining.
Today, there are many sources of unstructured data that are a wealth of valuable information to network operations teams. In this blog we discuss some of the ways Augtera’s Network AI finds and uses structure, in unstructured logs.
Augtera’s Network AI transforms network operations, incident response, and incident management by delivering on three fundamental value propositions: faster resolution of incidents, better insights on incidents, and fewer overall incidents.
Network transformation is made possible by development of data center internists, leveraging what has been learned from medical internists.
Data Center Network AIOps Solution makes core technology usable within a compelling customer context.
Observability Reflections from Monitorama included how much data collection is enough, automation for detection, & log processing challenges.
Compared to threshold-based anomaly detection, machine learning anomaly detection reduces noise and enables proactive action.
The old saying goes “If a tree falls in a forest and no one is around to hear it, does it make a sound?”. Monitoring and observability are similar in nature. So many alerts flow across operations screens, anomalies that require attention roll off quickly, never to be seen, and never to be acted on until a customer or application team calls requesting assistance.
It was a typical SKO affair. Regional reports. Marketing directions. Lead generation, Product roadmaps, Solutions etc. All-day meetings that are necessary and stimulating, but also deserving of a reward for ploughing through and doing the hard work.
Operations teams will sleep better, knowing they will be aware of new log messages and patterns, as soon as they occur, instead of finding out weeks later, after numerous failures have occurred.