Application & data dependency analysis
Maps the programs, copybooks, JCL, and data stores that make up each mainframe application before anything is touched.
Solutions · Migrate
Mainframe to Cloud Migration
Your mainframe runs the business, but the people who understand it are retiring, licence and hardware costs keep rising, and every change takes months. Symetriz moves COBOL, JCL, batch, and z/OS workloads into Azure — component by component, with parallel runs before cutover.
The problem
The mainframe dilemma
The experts are retiring
Knowledge of the COBOL, JCL, and batch schedule sits with a shrinking group of people.
How we fix it: Dependency analysis that captures what the system actually does, before anyone leaves.
Costs rise every year
MIPS-based licensing and hardware contracts grow while the value they deliver stays flat.
How we fix it: Workloads moved onto Azure services that scale and bill with use.
A rewrite feels too risky to start
Rewrite-everything programmes are long and often stall, so nothing moves at all.
How we fix it: Rehost, re-platform, or refactor per component, proven by parallel runs.
The solution
Off the mainframe, one proven component at a time
- Full application and data dependency analysis before any code moves
- Rehost, re-platform, or refactor — matched to each component's risk and value
- Parallel-run validation so cutover doesn't bet the business on day one
Understand the mainframe before you touch it
Mainframe risk is almost always a knowledge problem first, a technology problem second.
Batch & transaction workload profiling
Batch windows, transaction volumes, and timing dependencies are profiled so the new platform is sized correctly from day one.
Risk-ranked migration sequencing
Components are sequenced by business risk and technical complexity, so the riskiest pieces aren't the first ones moved.
Modernize without a rewrite-everything gamble
Not every component needs a rewrite — the right strategy is decided per component.
Rehost, re-platform, or refactor per component
Each program or batch job gets the migration strategy that fits its risk and value — not a single blanket approach.
Batch & transaction redesign for Azure
Batch and transaction processing is redesigned around Azure-native services where it pays off, and preserved where it doesn't.
Parallel-run validation & phased cutover
New and legacy systems run in parallel and are reconciled before cutover, so nothing goes live on faith.
Ready when you are
Carrying mainframe risk you'd rather not?
Tell us what's running on the mainframe today and we'll map a sequenced, low-risk path to Azure.