Stream: Catalunya
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.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 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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