IBM Z Anomaly Analytics key features

Metric-based anomaly detection and visualization

IBM data scientists have derived a set of IBM Z® subsystem-specific key performance indicators that can be used to detect operational anomalies within those subsystems. IBM Z Anomaly Analytics with Watson currently supports Db2®, CICS®, MQ® and IMS®.

Integrated log anomaly detection

Log anomalies are detected when the frequency, occurrence or sequence of messages differ from the messages observed during normal time periods and are visualized alongside metric-based anomalies in the included problem insights server. Users are able to quickly visualize the details of the message that triggered the anomaly, to determine its potential impacts.

Topology service and hybrid correlation

Discovered topology service helps users quickly visualize and correlate anomalous activity across their z/OS subsystems and applications. When IBM Z events and topology are consumed by the IBM Cloud Pak for Watson AIOps, they can be correlated with events from the rest of the enterprise, helping users more quickly determine the incident impacts and the root cause of operational issues across their hybrid applications.

Gain agility and flexibility

IBM flexible payment plans help align infrastructure investments with workload needs.