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Decoupling Patterns

Decouple Mainframe and IBM i
Systems  Safely, Innovate  Instantly

OpenLegacy’s decoupling patterns build a controlled bridge between your mainframe and the cloud.
Modernization Planner designs how and where to decouple safely; Integration Studio generates the services
and connections that keep both sides in sync—so you modernize in accelerated, de-risked, phases with no
disruption to the business.

Why Decoupling Matters?

87% of businesses still rely on legacy systems, making changes risky. OpenLegacy Hub removes hidden
dependencies, replacing complex gateways and SQL with clear connections, enabling modernization while
keeping existing apps and processes running alongside new cloud-native services.”

The result is a modernization journey that is:

accelerated

Accelerated

New services and components are usable immediately, connecting via stable contracts instead of fragile legacy code.

de-risked

De-risked

Critical processes continue as workloads move in waves; if needed, rollback happens at the bridge, not the entire platform.

agile

Agile

You can adjust priorities and iterate without overhauling the strategy. The decoupling bridge keeps old and new systems reliably connected.

phased

Phased

You modernize domain by domain, pattern by pattern—starting where value is highest—while operating hybrid legacy + modern for as long as you need.

Decoupling isn’t a minor technical detail; it’s the modernization bridge that lets you treat transformation as a continuous, low-risk flow of changes instead of a one-time, high-risk event.

Learn why enterprises choose OpenLegacy?

What are Modernization Decoupling Patterns?

OpenLegacy Hub applies repeatable patterns to convert legacy dependencies into
governed interfaces. Modernization Planner suggests boundaries and patterns, while
Integration Studio generates the necessary services and connections.

A few of the most utilized decoupling patterns are:

internal_decoupling

Internal Decoupling

Breaks hidden in-program and cross-module calls into explicit service contracts, so individual components can be refactored, rehosted, or rewritten without breaking consumers.

Internal Decoupling
external_decoupling

External Decoupling

Wraps legacy gateways and channels with modern interfaces, so mobile apps, web portals, and partners remain stable while back-end logic moves to new platforms.

External Decoupling
data_layer_decoupling

Data-Layer Decoupling

Extracts embedded SQL and direct table access into governed data services, so you can progressively introduce cloud-ready data stores, analytics, and AI without destabilizing core transactions

Where Modernization Decoupling Patterns
Fit in Your Modernization Journey

Decoupling patterns are woven into the OpenLegacy Hub flow. You’re not starting from a blank
whiteboard; the platform guides you from discovery to an executable plan to generate components.

analyze

Analyze & Visualize

The analyzer feature within Modernization Planner maps programs, gateways, and data dependencies for the planned phase

You see domains, hot spots, and candidate seams for decoupling across applications, channels, and data

Outcomes:

A shared picture of your legacy landscape

planner

Planner Proposes Boundaries & Patterns

Based on dependencies, domains, and priorities, Planner suggests which boundaries to introduce and which patterns (internal, external, data) apply to each.

You review the plan, refine priorities, and approve the decoupling waves

Outcomes:

A priority and functional-driven plan instead of ad-hoc integrations.

integrations

Integration Studio Builds the Modernization Bridge

Integration Studio generates the APIs, reverse APIs, interceptors, and data connections, ensuring workload-movement tasks are coordinated across each wave

These contracts create a bridge between legacy and cloud for controlled, visible data exchange.

Outcomes:

A governed bridge providing safe connection of legacy and cloud  without channel disruption

analyze

Coexist, Retire & Optimize

Legacy and modern components coexist across the bridge while you move domains in waves

As more traffic flows to modern implementations, you retire legacy modules and optimize the architecture using the same functional driven structure defined in the Planner.

Outcomes:

Modernization accelerated via many small, reversible steps instead of a single risky cutover.

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Example Scenarios for
Decoupling Patterns

1

Launch new digital experiences fast

You need a new mobile app or portal, but customer and policy data live deep inside monolithic applications.

Result

Move faster on digital while OpenLegacy maintains the bridge back to the mainframe

2

Support refactoring and rehosting waves

You’re refactoring or rehosting parts of a large application, but everything is bound by brittle in-program calls

Result

Move workloads more quickly with generated clear, governed boundaries, not brittle point-to-point calls

3

Modernize the Data side for Analytics & AI

You want to power analytics platforms and AI models, but critical data is locked in DB2 / VSAM or tightly bound to code

Result

Decoupling the data layer lets analytics and AI progress without disrupting transactions or waiting for core replacement

4

Reduce the risk of a core system replacement

You need to exit off your mainframe or IBM i platform, but a single “big weekend cutover” feels impossible

Result

With a decoupling plan and connections, replacement becomes controlled go-lives with clear rollback options

Frequently Asked Questions

Are decoupling patterns tied to a specific cloud provider or modernization tool?

No. OpenLegacy’s decoupling patterns are cloud-agnostic and tool-agnostic. They define clear service and data contracts that work with your choice of cloud platforms and modernization tooling.

How do I know which pattern to use and when?

By using the intelligence of OpenLegacy Hub, you’re not picking patterns and hand-coding glue; you’re governing a platform that makes pattern-driven decoupling structured and repeatable.

How do we know where to decouple first?

OpenLegacy Modernization Planner helps you visualize dependencies and business domains, then identify high-value, low-risk boundaries. You select the target area; Hub recommends how to decouple it and in what sequence.

What if we already have a migration or refactoring program underway?

Decoupling patterns augment existing programs. They provide the contracts and connections that allow refactored or rehosted components to safely interact with what remains on legacy platforms, so you can move forward in controlled waves instead of pausing or restarting.

Will implementing these patterns require a big rewrite up front?

No. The entire idea is to avoid a big rewrite. Patterns are implemented as generated APIs, adapters, and data services that wrap existing logic and data. You start small, prove value quickly, and expand safely.

Let’s get started

Ready to Decouple Legacy
Safely and Move Faster?

OpenLegacy’s modernization decoupling patterns give you a proven way to untangle legacy complexity, maintain business continuity, and create a clear bridge to cloud, data, and AI initiatives—on your timeline, with your tools, and without big-bang risk

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