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TMON

This space is dedicated to fostering connection and community between users interested in Mainframe Optimization with Rocket products. Share ideas, tips and best practices with peers and check back often for access to exclusive resources.

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Ken Lamb
Ken LambRocketeer
 TMON
Welcome to the New Mainframe Optimization Customer ForumNews

Hello and welcome to the new Rocket Mainframe Optimization Community Forum! Whether you are new to the world of the mainframe or you are a 40-year veteran we’re excited to have you join this space dedicated to Rocket Software’s TMON and C\Prof products and related technologies. This forum is designed for technical users like you to connect, share insights, and stay ahead in mainframe performance optimization. As a regular visitor and participant, you’ll benefit from:Access to Expertise: Learn from peers and Rocket Software specialists. Latest Updates: Stay informed on product roadmaps and related technologies. Interactive Discussions: Exchange ideas, troubleshoot challenges, and share best practices. Community Engagement: Participate in polls, contribute suggestions, and help shape future enhancements. Please browse the forum and check out the links and material currently posted. Expect this material to grow and discussions to evolve over the coming weeks so check back regularly to see

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Ken Lamb
Ken Lamb
Ken LambRocketeer
 TMON
RocketÂŽ TMONÂŽ Stream: A Faster Path to Mainframe Observability

In the Rocket TMON 2601 release, TMON Stream was made available . This is a significant capability to increase observability into your mainframe and incorporate mainframe data and metrics into your organization’s analytics tools.TMON Stream doesn’t change how TMON collects data. It doesn’t replace 3270 screens, reports, or established workflows. What it does change is how that data flows across your organization, and how it can be analyzed.With TMON Stream:Performance data from z/OS subsystems is streamed continuously to non‑mainframe destinations. Trusted TMON metrics are exposed in near real time to modern analytics and observability platforms. The same data can be visualized, correlated, and shared across teams and tools.Think of it as extending the reach of TMON, not redefining it. Mainframe experts keep the views they rely on, while everyone else gains timely, contextual visibility into mainframe behavior using the tools they already know.Read the full details in the TMON Stream b

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Ken Lamb

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