Reid Gerson
Responsabile di prodotto TMON
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Seminario Web
TMON One Modernization – 1st Half 2026 Innovations
Informazioni su questo webinar
To maintain the performance and efficiency of mainframe operation it is essential to have a high level of observability. Using AI regression algorithms TMON helps customers identify anomalies in both system and application performance with TMON Health AI. This release now also provides an observability window into mainframe resource behavior and availability by enabling data and metrics to be streamed and viewed by 3rd party analytics applications. Learn how this capability applies to individual monitors, and what other new enhancements for all monitors are included to increase the benefits of TMON One.
Presentatori
Senthil Balasundaram
Ingegnere software senior principale
Andrew Joyce
Ingegnere informatico senior
Pavel Sadomskij
Senior Mgr Software Engineer
Robert Hamilton
Ingegnere informatico principale
Aditi Thakur
Software Engineer Specialist
Aruna Kailasanathan
Ingegnere informatico principale
Contenuti correlati
Insight
A faster Path to Mainframe Observability
Find out more about the Rocket TMON Stream functionality and the benefits of getting the mainframe data and metrics into your standard analytics tools. Read the TMON Stream blog now.
Foro
Rocket TMON community
The new space dedicated to bringing together users of Rocket TMON. Share your ideas, tips, and best practices, access exclusive resources, and stay up to date with the latest product news.
