How do you monitor IBM Z mainframe and cloud infrastructure in one place instead of two separate systems? VirtualZ Computing CTO Vince Re explains how PropelZ's console logging connector streams mainframe console messages directly into modern monitoring tools, so operations teams see mainframe, Kubernetes, and cloud alerts in a single unified view rather than treating the mainframe as an isolated silo.

Vince Re makes the case for unified operations: instead of choosing between mainframe expertise and cloud-native skills, teams combine them by feeding real-time mainframe console data into the dashboards and alerting tools they already run. The result is faster incident response across the whole environment, because mainframe events sit on the same timeline as everything else.

In this episode of Skyward Data, the podcast from VirtualZ Computing:

- How streaming mainframe console messages into existing tools creates one cross-platform view of mainframe, Kubernetes, and cloud alerts - Using monitoring stacks teams already know — such as Splunk and Prometheus — instead of mainframe-specific tooling - Why real-time mainframe visibility speeds incident response across hybrid infrastructure - Getting more from existing monitoring investments rather than standing up a separate mainframe system - Building operations that scale as the hybrid environment grows

PropelZ streams mainframe console messages, SMF records, and other z/OS data into cloud and monitoring platforms with no code and no homegrown pipelines, and is proven at 56,000 records per second, mainframe to cloud. It's part of VirtualZ Computing's no-code portfolio for enterprise mainframe data, alongside Lozen (live in-place data access), FlowZ (cloud storage for backup and archive), and Zaac (cloud and SAN as native z/OS storage).

Topics: mainframe monitoring, hybrid cloud operations, IBM Z, z/OS, console messages, observability, Splunk, Prometheus, Kubernetes, incident response, no-code data integration.

Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts/