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In this modern integrator masterclass, learn how systems integrators can unlock high-margin, fast-value solutions by helping clients move mainframe data into cloud and AI platforms — without coding, replication, or re-platforming.
Discover how Lozen™, from VirtualZ Computing, redefines enterprise data access for hybrid cloud, AI, and application modernization.
Modern AI projects stall when critical data is trapped on the mainframe. In this Podcast, we discuss how PropelZ™ moves VSAM, SMF, COBOL-copybook, IMS/Db2, and other IBM Z data to any AI platform in hours, not weeks—without ETL, change-data-capture headaches, or extra MIPS.
What you’ll learn:
Why legacy ETL & CDC fail for real-time AI and analytics
Inside PropelZ’s three-stage architecture (ingest ▸ transform ▸ deliver)
Incremental updates & zIIP-eligible performance
One-click targets: Amazon SageMaker & S3, Google Vertex AI, Azure ML, IBM watsonx, Postgres, Snowflake, more
Flat-rate pricing: $50 K/yr, unlimited data, 5 certified JDBC drivers
In episode of Skyward Data, VirtualZ CEO Jeanne Glass introduces PropelZ™, the no-code platform that gives you instant access to structured mainframe data—ready for AI, dashboards, compliance, and observability tools.
In this on-demand briefing, VirtualZ founder and CEO Jeanne Glass introduces our patented, no-code software platform that transforms how enterprises access and use mainframe and hybrid cloud data.
In this episode of Skyward Data, VirtualZ Computing co-founders Dustin Froyum and Vince Re introduce PropelZ™—a no-code solution that makes mainframe data instantly cloud-ready without ETL, scripts, or disruption.
You’ll learn:
Why traditional ETL is too costly and slow for modern data needs
How PropelZ installs directly on z/OS and runs on zIIP engines for cost efficiency
How PropelZ handles VSAM, SMF, sequential datasets, and even console messages
How incremental data updates and interactive execution reduce batch windows
How to use PropelZ for report migration, legacy tape offloading, data warehousing, and observability (including Splunk)
Why PropelZ delivers high performance without moving data through a middle tier
The session includes a deep dive into the product’s architecture, real-world use cases, and performance advantages—plus insight into why to choose PropelZ over expensive, complex alternatives.
In this episode of Skyward Data, Jeanne Glass, Founder and CEO of VirtualZ Computing, explores how enterprises can unlock mainframe data for Google Cloud’s Vertex AI—in a single day.
Jeanne breaks down why mainframe data remains essential for training AI models, and how VirtualZ’s PropelZ™ solution eliminates the complexity of traditional ETL and data replication.
You'll learn how to:
Seamlessly connect IBM Z data to Vertex AI and BigQuery
Deliver governed, AI-ready data without writing a single line of code
Accelerate time-to-insight for predictive and generative AI
Enable hybrid data architectures without disruption
If your AI strategy is ready—but your data isn’t—this episode is for you.
🎧 Learn more at virtualzcomputing.com
AWS Transform is designed to accelerate cloud modernization—but for enterprises running on IBM Z, the path forward has historically been slow, complex, and costly.
In this episode of Skyward Data, we explore how VirtualZ Computing makes AWS Transform actionable for mainframe environments—unlocking mission-critical data instantly and securely, with no code, no disruption, and no replication.
You'll learn how VirtualZ’s patented software suite—PropelZ™, Lozen™, and Zaac™—bridges the gap between IBM Z and AWS services like SageMaker, Lambda, Redshift, and Amazon S3. Whether your goal is to modernize applications, accelerate AI, optimize storage, or ensure compliance, this episode shows how you can do it without rewriting or rehosting.
If your organization is navigating AWS Transform and still runs on IBM Z, this episode is for you.
Topics covered:
Why mainframe data access stalls modernization
How VirtualZ eliminates legacy integration friction
Real-world AWS use cases powered by PropelZ, Lozen, and Zaac
What makes VirtualZ different—and why it works for hybrid cloud
Learn more: https://virtualzcomputing.com
In this episode of Skyward Data, VirtualZ Co-founders Dustin Froyum and Vince Re explore how Zaac™, our patented virtual file system, is reshaping mainframe DevOps by making GitHub work natively on IBM Z—no replication, no scripts, and no headaches.
Listen in as we cover:
How Zaac integrates GitHub directly into Z/OS using standard Fuse drivers
Why mainframe teams no longer need to choose between modern toolchains and traditional workflows
How developers can edit, compile, and manage code in GitHub from both cloud and mainframe environments—without any sync errors
Real-world productivity gains from removing build delays and replication steps
Support for iSCSI, NFS, S3, and other modern storage protocols—all accessible as mainframe disk or tape
Whether you're managing legacy COBOL or building Java applications, Zaac makes it easier to modernize DevOps processes while maintaining full compatibility with your existing tools.
🎙️ Prefer to see it in action? Watch the full webinar on our YouTube channel.
#MainframeModernization #DevOps #GitHub #IBMZ #VirtualZ #HybridCloud #SkywardData
In this episode of the Skyward Data podcast, VirtualZ Computing co-founders Dustin Froyum and Vince Re break down how PropelZ™ simplifies mainframe log integration into modern observability platforms like Splunk.
You’ll get a quick overview of PropelZ’s architecture — built on a powerful three-tier pipeline for real-time or batch processing of SMF records and console messages — and see how organizations are using it to feed mainframe data into cloud-native platforms for security, compliance, and performance monitoring.
Highlights include:
Real-time vs. batch input options
API-based output for Splunk and other platforms
Easy install and configuration — often running in under an hour
Flat-fee pricing and flexible JDBC support
Tune in to hear how PropelZ can replace months of setup with a plug-and-play solution for streaming mainframe log data.
Questions or topics? Email us at [email protected]
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