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What it means for a mainframe and cloud to work together
In a hybrid architecture, the mainframe continues to run some applications or hold authoritative data, while cloud services provide capabilities around or alongside those systems. A modern integration layer can expose existing transactions, data, messages, files, or 3270 workflows to newer consumers without first replacing the underlying host application.
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Microsoft’s Azure Logic Apps Standard guidance describes this as an integration façade: consumers can connect through workflows and connectors while the host remains operational. The façade changes how systems interact; it does not, by itself, convert the host application or relocate its data.
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Choose the modernization path by what needs to change
| Path | What changes | Evaluate before choosing | Documented example and limits |
|---|---|---|---|
| Keep the host and modernize integration | Add workflows and connectors around existing host programs and data. | Connector and protocol coverage, latency, private connectivity, data handling, and operational ownership. | Microsoft documents Azure Logic Apps Standard for mainframe and midrange integration. Some scenarios, including LU6.2, still require Host Integration Server. |
| Synchronize or modernize data | Replicate, transform, or govern selected host data for cloud databases, storage, or analytics. | Data freshness and consistency, encoding and conversion, extraction load, governance, and recovery. | Microsoft Azure Architecture Center guidance describes data modernization and synchronization patterns. These are starting points, not designs validated for a particular estate. |
| Rehost or refactor | Move an application runtime and, depending on the design, change code or data as well. | Dependencies, conversion fidelity, data migration, test scope, cutover, and rollback. | A Microsoft reference architecture describes converting COBOL and other legacy code to managed .NET with Raincode compilers and deploying on Azure. It is an example architecture, not a guarantee of suitability or effort for every application. |
| Reengineer selected workloads | Redesign application behavior or batch processing for cloud services. | Business value, functional equivalence, security, operating readiness, scale, and service objectives. | Microsoft presents a batch reengineering solution idea. It does not establish a universal outcome for reengineering. |
When integration is the sensible first boundary
Integration can be a useful starting point when the host application remains fit for its current role but its transactions or data need to serve newer systems. Rather than forcing a full rewrite before consumers can connect, a team can expose selected capabilities through an integration layer and modernize incrementally.
Microsoft’s Azure Logic Apps Standard guidance covers integration with CICS and IMS programs, IBM MQ, databases, host files, and 3270 workflows. Exact connector, protocol, hosting, and network requirements depend on the scenario, so confirm them in the current product documentation before designing around a specific interface.
Microsoft describes several Logic Apps Standard hosting choices: Azure Workflow Service Plan, App Service Environment v3, and hybrid deployment on customer-managed Azure Arc-enabled Kubernetes. The hybrid deployment requires customer-managed Kubernetes and supporting infrastructure; Microsoft describes it as partially connected, not air-gapped. Hosting choice therefore affects not only placement but also infrastructure responsibility and connectivity design.
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Integration is not a way to make latency, data governance, or operations disappear. Microsoft identifies latency, data residency, infrastructure ownership, connectivity, governance, and operational requirements as factors in hybrid placement. Hybrid environments can preserve existing investments and add cloud capabilities, but they also make integration, orchestration, security, and compliance coordination more complex.
Where Host Integration Server fits
Microsoft describes Host Integration Server as providing network, data, application, message, and security integration capabilities for coexistence scenarios. Its Logic Apps overview also notes that some cases, including LU6.2, continue to require Host Integration Server. Check the protocol and connector requirements for the exact workload rather than assuming one integration product covers every host interface.
When moving data is a separate modernization decision
Cloud analytics or applications may need access to host data without moving the transaction-processing application itself. In that case, data synchronization is a distinct architecture choice: teams must decide what to copy, how to transform it, how fresh it needs to be, and which system remains authoritative.
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Microsoft’s Azure Architecture Center describes patterns for modernizing mainframe and midrange data and for replicating and synchronizing mainframe data to Azure. Treat these as patterns to adapt, not turnkey prescriptions. A design should account for extraction load on the host, data encoding and conversion, consistency expectations, recovery behavior, and governance of both the source and cloud copy.
When rehosting or reengineering may be appropriate
Rehosting and reengineering are not interchangeable. Rehosting changes where an application runs; refactoring or conversion can change its implementation; reengineering can change how the workload behaves. A move to cloud may involve more than changing a runtime location if the code, data, interfaces, or operational model also need adaptation.
The Raincode compiler architecture described by Microsoft is one example: it converts COBOL and other legacy code to managed .NET for deployment on Azure. Microsoft’s mainframe batch and refactoring patterns provide further examples of aligning application, data, and testing work. These architectures illustrate possible approaches, not proof that conversion is straightforward or suitable for every estate.
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For an application-level decision, Microsoft’s modernization guidance frames options that include retaining, rehosting, replatforming, refactoring, rebuilding, or retiring an application. The decision should reflect the application’s business value, dependencies, service requirements, governance, and the organization’s ability to operate the resulting design. There is no generally supported savings or performance figure that establishes one path as best for all mainframe workloads.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Plan the work in waves and test coexistence
Microsoft recommends iterative waves for most estates. The practical value of a wave is that it tests an end-to-end flow—including its dependencies and operations—before the same pattern is expanded to more critical or interconnected workloads.
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- Inventory the estate. Map programs, data, interfaces, batch jobs, dependencies, service objectives, security controls, and operational responsibilities.
- Select one bounded flow. Choose a useful end-to-end outcome with manageable dependencies, rather than beginning with a highly shared job or an application whose relationships are still poorly understood.
- Design the boundary. Decide whether the first change is integration, data synchronization, rehosting, or reengineering. Specify connector and protocol needs, data ownership, connectivity, and which team operates each part.
- Test the whole coexistence path. Validate functionality, throughput, recovery, security, and behavior while both host and cloud components are in use. Include failure and recovery scenarios, not only the successful path.
- Redirect consumers and monitor. Move a defined consumer or flow to the new interface, observe production behavior, and use what the team learns to shape the next wave.
Keep shared jobs and highly interconnected applications until their dependencies are understood. For placement decisions, compare on-premises, hybrid, and cross-cloud options against governance, cloud-native capabilities, flexibility, connectivity, and operating complexity. A hybrid design needs robust integration and orchestration as well as shared security and compliance controls.
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How to assess named platform examples
Microsoft’s materials also identify specific coexistence and modernization examples, but an example is not a general endorsement or a measured result for another organization. Microsoft’s financial-services page names a US bank implementation involving IBM Consulting and Azure; the cited material establishes an implementation example, not a quantified outcome. An AWS-hosted article by IBM and Red Hat describes connecting IBM Z and AWS for hybrid modernization; its business-value claims are vendor-authored positioning rather than an independent comparison.
For any named platform or architecture, validate fit against the target estate: required interfaces and protocols, hosting prerequisites, data movement, security and compliance controls, operational ownership, and the scope of conversion and testing. Product capabilities and requirements can change; check current documentation before committing to an implementation design.
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