EPISODE · Jul 7, 2026 · 12 MIN
Mainframe Cloud Backup with FlowZ: Cheaper, Faster, Off-Site
from Skyward Data · host VirtualZ
How cheap and how fast can mainframe-to-cloud backup actually be? VirtualZ Computing CTO Vince Re shows how VirtualZ backs up its own IBM Z mainframe — system backups, source code, and operational logs — by streaming them straight to cloud object storage with FlowZ, VirtualZ's no-code tool for using Amazon S3, Azure Blob, and Google Cloud as mainframe backup and archive storage, for pennies a month. Vince Re explains exactly how it works: FlowZ makes cloud object storage look like a normal output target to z/OS, so the mainframe writes to the cloud as if it were a local device — with no custom code and nothing running on the cloud side. He also answers the objection everyone raises about cloud backup: isn't the network too slow? It isn't, and he walks through why. In this episode of Skyward Data, the podcast from VirtualZ Computing: - How cloud object storage becomes a native mainframe output target with no custom code - Real numbers on volume backup speeds and compression, mainframe to cloud - Why network bandwidth is not the bottleneck most teams assume it is - How the approach scales from a small shop to a site moving terabytes a day - Replacing fragile, expensive local tape and disk media with cheaper, off-site cloud backup FlowZ is part of VirtualZ Computing's no-code portfolio for enterprise mainframe data, alongside PropelZ (moving and replicating mainframe data, proven at 56,000 records per second), Lozen (live in-place data access), and Zaac (cloud and SAN as native z/OS storage). For banks, insurers, retailers, and any enterprise running IBM Z, it's a practical path to durable, low-cost, off-site backup and tape replacement. Topics: mainframe cloud backup, IBM Z, z/OS, cloud object storage, S3, Azure Blob, Google Cloud, tape replacement, mainframe archive, no-code data integration, hybrid cloud. Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts
What this episode covers
How cheap and how fast can mainframe-to-cloud backup actually be? VirtualZ Computing CTO Vince Re shows how VirtualZ backs up its own IBM Z mainframe — system backups, source code, and operational logs — by streaming them straight to cloud object storage with FlowZ, VirtualZ's no-code tool for using Amazon S3, Azure Blob, and Google Cloud as mainframe backup and archive storage, for pennies a month. Vince Re explains exactly how it works: FlowZ makes cloud object storage look like a normal output target to z/OS, so the mainframe writes to the cloud as if it were a local device — with no custom code and nothing running on the cloud side. He also answers the objection everyone raises about cloud backup: isn't the network too slow? It isn't, and he walks through why. In this episode of Skyward Data, the podcast from VirtualZ Computing: - How cloud object storage becomes a native mainframe output target with no custom code - Real numbers on volume backup speeds and compression, mainframe to cloud - Why network bandwidth is not the bottleneck most teams assume it is - How the approach scales from a small shop to a site moving terabytes a day - Replacing fragile, expensive local tape and disk media with cheaper, off-site cloud backup FlowZ is part of VirtualZ Computing's no-code portfolio for enterprise mainframe data, alongside PropelZ (moving and replicating mainframe data, proven at 56,000 records per second), Lozen (live in-place data access), and Zaac (cloud and SAN as native z/OS storage). For banks, insurers, retailers, and any enterprise running IBM Z, it's a practical path to durable, low-cost, off-site backup and tape replacement. Topics: mainframe cloud backup, IBM Z, z/OS, cloud object storage, S3, Azure Blob, Google Cloud, tape replacement, mainframe archive, no-code data integration, hybrid cloud. Listen to more Skyward Data episodes: https://virtualzcomputing.com/podcasts
NOW PLAYING
Mainframe Cloud Backup with FlowZ: Cheaper, Faster, Off-Site
No transcript for this episode yet
Similar Episodes
Jun 20, 2026 ·2m
Jun 15, 2026 ·3m
Jun 14, 2026 ·2m
Jun 13, 2026 ·3m
Jun 12, 2026 ·3m
Jun 11, 2026 ·3m