A Modern Approach to Mainframe Storage that Starts with Your Data, Not Your Devices.

For decades, mainframe storage strategy has followed a familiar pattern:

• DASD for performance
• Tape for backup and archive
• Replication tools to move data between systems
• Careful capacity planning to stay ahead of demand

And for the most part, it has worked. But today, many organizations feel like they’re hitting a wall:

• Storage costs continue to rise
• Data volumes keep growing
• Migrations and data center moves are increasingly complex

The natural conclusion is: “We’re running out of storage.”  Yet in reality, something else is happening.  You’re not running out of storage — you’re running up against the limits of an outdated model.

The Real Constraint Isn’t Capacity — It’s the Model

Most storage strategies today are still built around concepts that haven’t changed in decades:

• Volumes
• Devices
• Replication pipelines
• Physical boundaries

These made perfect sense when:

• Storage was scarce
• Movement was expensive
• Everything was tied to a specific data center

But those constraints no longer define what’s possible. What hasn’t changed is the way we think about storage.

Start with the Data, Not the Device

Most storage conversations still begin with questions like:

• “What do we do about our DASD?”
• “How do we move our tape?”
• “What replaces our current storage platform?”

These are reasonable questions — but they focus on the wrong starting point.

A more effective approach is to ask: What is this data actually used for? Because not all data has the same requirements:

• Transactional data → requires performance and low latency
• Backup data → requires reliability and recoverability
• Archive data → requires retention, scale, and cost efficiency

Yet in many environments, all of this data is managed using the same high-cost, high-performance infrastructure.

The Hidden Opportunity in Most Environments

In most enterprises, 60–70% of mainframe storage is backup and archive data.

And yet, it’s often:

• Sitting on premium storage tiers
• Managed with significant operational overhead
• Constrained by constructs like volumes, ranges, and mounts

This isn’t a technology limitation — it’s a legacy of how storage has always been done.

From Storage Management to Data Management

Traditional storage models require you to manage:

• Where data lives
• How it’s replicated
• How capacity is allocated
• How growth is handled

A modern approach shifts the focus to:

• How data is used
• What outcomes are required (performance, cost, retention)
• How policies can automate placement and lifecycle

You move from managing infrastructure to managing data outcomes.

Rethinking Movement: Not Everything Needs to Move the Same Way

One of the biggest sources of complexity in mainframe environments is how data is moved:

• Volume-to-volume replication
• Device-level synchronization
• Complex orchestration across data centers

But not all data needs the same treatment.

• Some data needs continuous synchronization
• Some needs periodic movement
• Some can be written once and retained indefinitely

Modernizing your strategy means matching the movement model to the data — not forcing all data through the same pipeline.

Where Traditional Approaches Break Down

Even when organizations recognize the need to modernize, they often run into practical barriers:

• “We can’t disrupt existing applications.”
• “We can’t replace core storage systems overnight.”
• “We don’t want to introduce risk to production workloads.”

So the result is incremental change — layered on top of an outdated foundation.

A New Approach: Extend, Don’t Replace

This is where a different approach emerges — one that doesn’t require a rip-and-replace strategy. Instead of replacing your primary storage environment, you extend it:

• Offload backup, archive, and sequential workloads
• Redirect non-latency-sensitive data to lower-cost storage tiers
• Preserve existing application behavior — no rewrites required

This is the model behind solutions like VirtualZ’s FlowZ™ and Zaac™. They enable organizations to:

• Move or rehost data without changing applications
• Offload large volumes of storage from expensive DASD
• Leverage cloud or on-prem object storage as an extension of the mainframe
• Eliminate dependency on legacy constructs like tape, mounts, and volume constraints

The result isn’t just cost savings — it’s operational simplification.

Simplifying Backup, Archive, and Tape — Without Disruption

Backup and archive are where this approach delivers immediate value.

Instead of:

• Managing tape infrastructure
• Planning capacity expansions
• Handling mounts, recalls, and ranges

You can:

• Write directly to scalable storage (cloud or on-prem)
• Apply policy-driven lifecycle management
• Enable immutability, versioning, and compliance out of the box

All while keeping existing batch jobs and applications unchanged.

In some environments, organizations also take a complementary approach — using solutions like VirtualZ’s PropelZ™ to move and transform tape and sequential data into cloud-based platforms for analytics, reporting, or AI use cases.

This allows teams to not only reduce storage cost, but also activate data that was previously locked away on tape, without building custom pipelines or rewriting existing processes.

What You Stop Doing Matters Most

Modernizing storage strategy isn’t just about what you gain. It’s about what you eliminate:

• No more constant DASD expansion cycles
• No more complex replication orchestration for non-critical data
• No more tape management overhead
• No more treating all data like it requires Tier 1 performance

You remove decades of accumulated complexity — without introducing new risk.

Where to Start

You don’t need to modernize everything at once.

The highest-impact starting points are:

• Backup
• Archive
• Tape offload
• Sequential file workloads

These areas:

• Represent the majority of data
• Carry the lowest application risk
• Deliver the fastest ROI

And critically — they can be modernized without disrupting production systems.

Final Thought: This Is a Strategy Shift, Not a Storage Upgrade

This isn’t about replacing one storage platform with another. It’s about changing how you think about storage entirely.

The organizations leading this shift aren’t asking: “How do we add more storage?”

They’re asking: “How do we stop using expensive storage for the wrong data?”

Modernizing your storage strategy starts with a simple shift:

Design around your data — not your devices.

And with the right approach, you don’t need to rebuild your environment to get there. You just need to start using it differently.

Next Steps

• Schedule a briefing.
• Visit our Customer Briefing Center for product overviews and demos.
• Review all VirtualZ Use Cases, Thought Leadership papers, and Solution Briefs.
• Explore our YouTube channel, podcasts, and blog.
• Still have questions? Contact us.