Proactively identify and avoid operational issues
In today’s digital environment, you need your key services and applications to always be available. For enterprises with hybrid applications which include IBM Z®, detecting and determining the root cause of hybrid application issues has grown more difficult with rising costs, skill shortage and changing user patterns.
IBM Z Anomaly Analytics with Watson provides you with the intelligent anomaly detection you need to proactively detect operational issues.
Benefits
Model-building
Build a model of normal operation for your environment across multiple IBM Z subsystems including, Db2®, CICS®, MQ®, IMS®, as well as IBM Z log data.
Analysis
Analyze real-time operational data in comparison with the model of normal operations to detect anomalous behavior and filter non-critical data to advance, rewind and zoom into specific time intervals.
Notification
IT operations are notified of anomalous behavior to proactively identify incidents that might lead to business disruption.
Visualization
Get anomalous details with topological context to quickly isolate the anomalous activity and interpret its impact.
Correlation
Anomaly events and topology are correlated with enterprise events and data to understand hybrid application impacts and quickly resolve incidents when integrated with IBM Cloud Pak for Watson AIOps.
IBM Z Anomaly Analytics key features
- Metric-based anomaly detection and visualization
- Integrated log anomaly detection
- Event generation and hybrid correlation