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IBM Z Anomaly Analytics

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Machine-learning anomaly detection across IBM Z log and metric data

Mainframe Monitoring Software
  • Deployment On Premises, Hybrid
  • Starting price Custom
  • Free trial Not offered
  • Best for Enterprises

What is IBM Z Anomaly Analytics?

IBM Z Anomaly Analytics takes a different approach to mainframe monitoring than threshold-based tools. Rather than alerting when a metric crosses a line an administrator set, it uses historical IBM Z log and metric data to build a model of normal operational behaviour, then flags departures from that baseline. The aim is catching the developing problem that no one thought to write a threshold for.

It covers both log and metric data rather than one or the other, which matters because many incidents show up in logs before they show up in metrics. Deployment involves IBM Z Anomaly Analytics running on Linux alongside IBM Z Common Data Provider on the z/OS system that feeds it data. Machine learning, log analysis and notifications are the named feature areas. One caveat worth raising: IBM's own product taxonomy metadata marks this offering as withdrawn, even though the product page remains live and indexed, so its lifecycle status is worth confirming directly with IBM before committing. Pricing is not published.

Key Features of IBM Z Anomaly Analytics

  • Model normal operational behaviour from historical data
  • Detect anomalies in IBM Z metric data
  • Detect anomalies in mainframe log data
  • Flag developing issues before thresholds trigger
  • Analyse logs with machine learning
  • Notify operators when behaviour departs from baseline
  • Collect data through IBM Z Common Data Provider
  • Run the analytics layer on Linux
  • Reduce costly incidents through early detection
  • Complement threshold-based monitoring tools

IBM Z Anomaly Analytics Pricing

Custom

Custom

Contact IBM; lifecycle status worth confirming

Free Trial

IBM publishes no pricing. IBM’s own product taxonomy metadata marks this offering as withdrawn while the product page remains live, so both availability and pricing should be confirmed directly with IBM.

IBM Z Anomaly Analytics Specifications

Software Tagline :
Machine-learning anomaly detection across IBM Z log and metric data
Deployment :
  • on premises
  • hybrid
Subscription Plan :
yearly
Desktop Platforms :
  • web app
Mobile Platforms :
Language Support :
en
Target Audience :
  • enterprises
Available Support :
  • email
  • phone
  • training
  • tickets
Integrations :
IBM Z Common Data Provider, z/OS log and metric sources, Linux on Z
Product Url :
https://www.ibm.com/products/z-anomaly-analytics
API Available :
Yes
Free Trial Available :
No
Run On Mobile Browser :
Yes
Free Plan Available :
No
Customization Available :
Yes

IBM Z Anomaly Analytics Videos

IBM Z Anomaly Analytics Screenshots

IBM Z Anomaly Analytics screenshot 1

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IBM Z Anomaly Analytics FAQs

It uses historical IBM Z log and metric data to build a model of normal operational behaviour, then detects departures from that baseline to identify developing problems before they become incidents.

Threshold monitoring alerts when a metric crosses a value someone configured. Anomaly analytics learns what normal looks like from historical data, so it can flag unusual behaviour nobody anticipated writing a rule for.

Yes, both. That matters because many incidents appear in log data before they show up in performance metrics.

IBM Z Anomaly Analytics runs on Linux, with IBM Z Common Data Provider on the z/OS system supplying the log and metric data it analyses.

The product page is live and indexed, but IBM's own product taxonomy metadata marks the offering as withdrawn. Confirm current availability and support directly with IBM before planning a deployment.