Step 01
Connect your workload
Point Continuum at your COBOL programs and JCLs. No source changes required.
cloudframe | Continuum
Run, Analyze, & Transform Mainframe Workloads in Real Time
Continuum lets you execute mainframe programs as Java in a distributed environment, profile their real behavior, and feed that intelligence back into your modernization. Reduce MIPS costs immediately. Transform more accurately, later.
Day 1
Immediate MIPS reduction for eligible batch workloads
3x
Richer data for transformation than static analysis alone
Automatic
Functional equivalence validation between COBOL and Java
What it does
Static analysis tells you what the code says. Continuum shows you what it actually does.
Every modernization platform does static analysis. Only CloudFrame can run your live COBOL workloads in a distributed environment and observe how they truly behave.
Functional equivalence validation
Compare COBOL and Java outputs side by side. Know your transformation is correct before you go to production.
Application profiling
Discover hot paths, dead code, and latency hot spots that static analysis can never see. Understand what really runs and how often.
Data profiling
Identify which data is accessed, how frequently, and in what order. Plan your data migration with real evidence instead of guesswork.
Immediate cost reduction
Move batch jobs off the mainframe without touching the COBOL. Start saving on MIPS from day one, even before transformation begins.
How it works
Non-destructive by design.
You never modify production code. You run a shadow environment, observe, learn, and then decide what to do with that intelligence.
Step 02
Run in a distributed environment
Execute COBOL as-is off the mainframe. Observe runtime behavior, data access, and performance in parallel with your mainframe run.
Step 03
Act on the intelligence
Use profiling data to feed CodeNavigator for a better transformation or keep eligible workloads running off-mainframe to cut costs now.
Where it fits
Two ways to put it to work.
Path A
As a transformation accelerator
Run workloads through Continuum in non-prod. Capture application and data profiles, then feed that intelligence into CodeNavigator for a faster, cleaner conversion to Java. Fewer surprises at go-live.
Path B
As a cost reduction destination
For workloads you are not ready or not planning to transform, run them off the mainframe and start reducing MIPS costs immediately. No full transformation required.
Use cases
Built for the hardest parts of modernization.
COBOL-to-Java transformation
Combine static analysis from Atlas and CodeNavigator with live runtime profiles for a dramatically more accurate first-pass transformation.
MIPS reduction without transformation
Offload batch workloads to reduce mainframe costs now, even if a full rewrite is still months away or off the roadmap entirely.
Pre-migration data strategy
Understand exactly which data needs to move, in what order, and with what caching strategy before you hit latency problems in a distributed environment.
Testing and validation
Validate functional equivalence between your original COBOL and transformed Java with side-by-side output comparison automatically or with developer review.
See Continuum on your workload.
We'll walk through a live demonstration using your own environment or a representative reference case.