IBM Z Anomaly Analytics
Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data
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Overview:
IBM Z® Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment.
IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems.
Features:
Comprehensive model-building with machine learning
The solution continuously monitors real-time metric and log data, detecting deviations in frequency, occurrence or sequence patterns to provide immediate insights into emerging anomalies.
Real-time metric and log analysis
The platform continuously monitors real-time operational data and log messages, detecting deviations in frequency, occurrence or sequence patterns to provide immediate insights into emerging anomalies.
Prioritized incident notifications with ensemble event grouping
IBM Z Anomaly Analytics correlates and prioritizes anomalous event groups, helping ensure that IT teams are alerted only to high-confidence issues, which streamlines the response process and reduces false positives.
Impact visualization with topology service
Correlate and analyze anomalous event groups to help IT operators and system programmers prioritize which operational issues to address. This helps ensure that your team is only alerted to high-confidence event groups, reducing false positives.
Benefits:
Proactive incident detection
Enhances operational efficiency by providing real-time notifications of correlated and grouped anomalous behavior, enabling IT teams to respond swiftly and proactively.
Enhanced detection accuracy
Improves detection accuracy by building comprehensive models of regular operations across multiple subsystems, allowing for precise identification of deviations from the norm.
Data-driven decision-making
Empowers data-driven decision-making by providing detailed visualizations of anomalous activity within a topological context, making it easier to interpret complex data and diagnose issues.
Specifications:
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
Our Price: Request a Quote