Webinar

TMON One Modernization – 1st Half 2026 Innovations

About this 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.

Presenters
Profile picture of Reid Gerston
Reid Gerson
TMON Product Manager
Image of Senthil Balansundaram
Senthil Balasundaram
Senior Principal Software Engineer
Andrew Joyce
Andrew Joyce
Senior Software Engineer
Pavel Sadomskij
Pavel Sadomskij
Senior Mgr Software Engineer
Robert Hamilton
Robert Hamilton
Principal Software Engineer
Aditi Thakur
Aditi Thakur
Software Engineer Specialist
Aruna Kailasanathan
Aruna Kailasanathan
Principal Software Engineer

Related content

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. 

Forum

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.