Stream: Systems Management
Time: 13:45 - 14:45
Realtime resource monitoring and observability on z/OS is fundamental in modern AIOps environments. Learn how to get the most out of your OMEGAMON monitoring solution with the ability to stream your key metrics to popular platforms like Kafka, Elastic, Splunk, Grafana, and more, or even into your private data lake for deeper AI/ML and more powerful visualizations. Combine OMEGAMON data with other information for the fastest, most accurate problem identification and resolution possible using powerful AI/ML techniques.
See how z AIOps connects to hybrid cloud for full enterprise observability.
There is currently no attachment for AIOps - Using your OMEGAMON data with your visualization and AI/ML platform of choice
Ash joined IBM in late 1990s and prior to his current role, has worked as a Systems Programmer for ten years followed by twelve years in the IBM Lab Services team performing product consultancy on Composite Application Monitoring. Since 2017, Ash has been an IBM Product Manager responsible for the OMEGAMON monitoring portfolio.
Dan Wiegand is a Principal Offering Manager at IBM focusing on IBM Z AIOps. In his 25 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
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