From the course: Applied AI for IT Operations (AIOps)
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Anomaly detection - Python Tutorial
From the course: Applied AI for IT Operations (AIOps)
Anomaly detection
- [Instructor] In this chapter, we will review file use cases for ITOps and discuss how to implement them. The first such use case is anomaly detection. Anomaly detection in general tries to find if something out of the ordinary is happening. This manifests in various use cases for ITOps. Intrusion detection aims to look at network traffic and identify if someone is trying to breach the network. The same can also apply for looking at error trends, and see if we are seeing something more than the threshold. Detecting anomalies, exceptions, and threats is a key function for ITOps to keep the systems functioning and safe. Anomaly detection requires analyzing huge volumes of incoming audit and trace logs to see if exception patterns occur, but it's not easy to do that manually, given the volume and speed of data generated and the need for quick identification. AI can help here to automatically detect anomalies at the right time and generate alerts. In this use case, we will build a design…
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