Use Cases
One platform, many paths. All of them yours.
Every transformation path runs on the same engine. Start with the one that solves your most pressing problem — the others stay open.
The issue
Mainframe costs and risk keep climbing — but a rewrite is the one thing you can't afford.
The SHIFT approach
→Scan the workload and fix the scope
→Compile the original code natively for Linux and cloud
→Cut over incrementally — integrity preserved
Off the mainframe fast, with data and source integrity preserved.
Mainframe
costly, rigid
SHIFT
⟶
compiles natively
Linux / Cloud
fast, low risk
The issue
Decades of accumulated code — nobody knows what's still alive.
The SHIFT approach
→Run legacy and modern languages in one environment
→Dead code surfaces naturally as you work
→Refactor non-disruptively, at your pace
A cleaner estate, refactored without a single outage.
Legacy code
COBOL, PL/I
SHIFT
⟶
one environment
Clean estate
dead code gone
The issue
Your target architecture is blocked because legacy data can't be touched.
The SHIFT approach
→Modern code reaches legacy datastores directly
→Design and validate the new architecture in parallel
→Switch when proven — not before
A validated architecture, zero disruption along the way.
Modern code
Java, Python, Go
SHIFT
⟶
direct access
Legacy datastores
untouched
The issue
Some parts genuinely deserve a rebuild — but nowhere near all of them.
The SHIFT approach
→The SDK opens legacy and modern datastores to every language
→Rebuild the value-adding parts with true backward compatibility
→Everything else keeps running as-is
Reimagined where it pays off; untouched where it doesn't.
Your estate
legacy + modern
SHIFT
⟶
backward compatible
Rebuilt
only what adds value
The issue
Auditors and regulators want decades of records — in their original form.
The SHIFT approach
→Move data and code to an open platform with full integrity
→Original-form retention with a complete audit trail
→Modern reporting, KYC, and regulatory access with minimal effort
Compliance-grade retention, reachable by modern tools.
Original records
decades, as-is
SHIFT
⟶
full integrity
Open platform
reporting · KYC
The issue
One vendor controls your runtime, your pricing, and your roadmap.
The SHIFT approach
→The same code and data run interchangeably on mainframe and Linux
→Choose active-active, active-passive, or dual-stack
→Negotiate from strength — or leave
Lock-in broken, compatibility intact.
One codebase
unchanged
SHIFT
⟶
same code & data
Two stacks
mainframe + Linux
The issue
Test environments on the mainframe are expensive and scarce.
The SHIFT approach
→Spin up identical, compatible environments off the mainframe
→Test with full confidence against production behavior
→Pay a fraction of mainframe test/dev cost
Full testing confidence at a fraction of the cost.
Production
on mainframe
SHIFT
⟶
identical environment
Test env
fraction of the cost
Not sure which path fits?
Tell us what you need to achieve. We'll find the cleanest path there — hard problems, made simple.