Discover IBM Z OMEGAMON AI Insights 2.2.0 new features, improvements and use cases for Predictive AI and machine learning to detect anomalies and improve system performance, capacity and cost controls—without needing ML expertise.
GA Version 2.2.0 - November 14, 2025
(10 min read)
In a Nutshell
IBM Z® OMEGAMON AI Insights is an AI Engine and a set of dashboards to enhance SREs experience (Site Reliability Engineers) with anomaly detection and alerting of key performance metrics for use cases of performance, capacity and cost control.
It leverages ODP (IBM Z® OMEGAMON Data Provider) to stream historical data, infuse it with AI Insights and is shipped as a new component of Tivoli Management Services 6.3.3.
It seamlessly integrates into your existing ecosystem using native capabilities of Grafana for enhance noise reduction, alerting flexibility, visibility and automation, complementary to your OMEGAMON Situations.
OMEGAMON AI Insights 2.2 containers are available from ShopZ and FixCentral.
🆕Extended support for x86-64 environments
Easy-to-deploy Docker containers with now support for x86-64 Linux, Linux on Z and IBM Z Container Extensions for s390x Linux - zCX is now free!
🆕Out of the box Grafana dashboards
All context now use Grafana dashboards to continue OMEGAMON Web UI harmonization.
🆕Flexible alerts and integrated notifications
Integrates easily into your ecosystem like Service Now, Netcool with webhooks and Grafana native capabilities for enhanced visibility and automation.
🆕Feedback Loop
Now give feedbacks to the models to manage forecasting anomalies better.
🆕 Db2 Scope Expansion down to 15min alerting
IBM Z® OMEGAMON AI for Db2 to detect anomalies and significant divergence of CPU Time at the connection type level for performance and protection of the transactional workload.
Why Upgrade Now?
✅ Smarter Alerts
Enhanced classification of anomalies to aggregate events, surface small long lasting issues and optimized alerting to reduce the number of alerts generated for the same issue.
✅ Effortless Migration
As easy as it gets, start your migration now to a more performant and lower overhead.
⚠️ Kibana is Deprecated
Previous Kibana dashboards are no longer supported and replaced by Grafana ones.
📦 How to Get the Update
What's Next
- Actively working: Integration with OMEGAMON Web UI, Extended scope for MQ, CICS and z/OS 15m Model stacking, Customer Use Cases and Feedbacks
- Exploring: OpenShift support, Custom Grouping, Intelligent retraining
We want to hear from you!
Have you faced hidden performance issues? Curious how AI could help?
👉 Share your story on IBM Idea portal or request a demo today.
📖 Read how OMEGAMON AI gives the possibility to solve problems before these impact the end user experience
🛠️ Explore Product Runbooks for Db2, CICS or z/OS.
More details...
⭐ New Features and Improvements
- [Breaking Change] Grafana dashboards now replace Kibana once
- [Breaking Change] Kibana alerting now replaced by Grafana native one with generic webhooks and 20+ integration endpoints
- 🆕Scalable microservices and Docker containers for s390x and amd64
- Scalability activated by default to handle larger data volume
- 🆕Extended alerting flexibility with mute timings, silences, and event notifications
- 🆕Feedback loop for user to better control the forecasts
- Clustering model to better classify the anomalies
- Post processing strategy to surface small long lasting events
- 🆕AI model update and new dashboard for Db2 Use Case #1 – Analysis of CPU Time at connection type level down to 15min alerts
- Model stacking to enhance model predictions and precision
- Enhanced performance of the AI Engine to lower overhead and footprint
- Better log coverage and levels for readability and troubleshooting
- Link to runbooks in alerts to help bridge the skill gap
🐞 Bug Fixes
- Slight increase in memory usage during initial training
- Occasional folder creation delay during first-time model training
- Forecasting may vary with highly irregular or sparse time series
- Configuration override not applied for deep nested edge case
⚠️ Deprecation and Known Issues
- Service discovery latency increase when scaling down
- Memory increase and swapping when more services than CPU is declared
- Latency in ODP collection can lead to delay of prediction in edge cases
- 2.1.0 Kibana dashboard and alerting no longer supported - replaced by Grafana
Key Features from previous versions
- Container only micro services solution with vertical scalability
- Historical data collection through OMEGAMON Data Provider
- Fully secured by default with extended filtering capabilities for low footprint
- Long term storage for analytics and machine learning into Elasticsearch
- z/OS, Network, CICS… primary metric model and out of the box dashboards
- Pattern, seasonality and recurrent spike models
- Dynamic baselining, automated retraining and explainable output
- Severity scores and alerting rules setup for critical anomalies awareness
#monitoring, #ArtificialIntelligence(AI), #IBMZ, #OMEGAMON, #AnomalyDetection, #IBMAI, #OMEGAMONAIInsights
@Matthias Tschaffler, @Ash Mahay, @Jim Porell, @Anna Murray, @Fabien Gautreault