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Modernise without replacing what already works.

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SOLUTION 01
LEGACY & CLOUD COEXISTENCE

Legacy and cloud coexistence is CCA’s approach to modernising mainframe and legacy systems without replacing them. Real-time replication keeps legacy platforms and modern environments synchronised as changes occur, with sensitive data protected before it leaves the source. Value is delivered incrementally, so cloud, analytics and AI capability arrives in months rather than across a multi-year replacement program.

Trapped Between Two Undesirable Choices

Replacement Is Slow. Extraction Is Risky.

The choice: Keep Legacy As-Is

What it means: Continue operating legacy systems and limit innovation.

Why it fails

Traditional Batch Extraction

  • Creates additional copies of sensitive data instead of enabling modernisation
  • Increases governance complexity across duplicated data stores
  • Introduces latency that limits real business value and slows decisions

The choice: Replace Everything

What it means: Undertake large-scale replacement with significant cost, risk and uncertainty.

Why it fails

Large-Scale Replacement

  • Multi-year initiatives that demand major investment before delivering value
  • Millions of lines of code and thousands of embedded business rules make replacement high-risk
  • Decades of evolved integrations are easy to underestimate - and costly to unwind

A Coexistence Modernisation Strategy

CCA and OpenText synchronise and make enterprise data available in real time - while core operational platforms keep performing the functions they already do well.

Business-Outcome-Led, Not Big-Bang IT-Led

  • Value is delivered incrementally, aligned to real business needs - not saved up for a single go-live.
  • Replaces the traditional multi-year, big-bang replacement that only pays off at the very end.
  • Each phase is scoped around a specific, measurable business outcome.

Diagram of modernisation delivered in incremental phases, each phase producing a measurable business outcome rather than one big-bang go-live

Significantly Reduces Delivery Risk

  • Avoids the risk of untangling deeply embedded complexity within legacy applications.
  • Reduces exposure to the growing shortage of legacy platform skills and expertise.
  • Minimises disruption to mission-critical systems that the business depends on daily.
  • Byproduct benefits: faster digital services, accelerated analytics, cloud enablement, and AI-ready data - delivered along the way, not just at the end

Mainframe core systems and modern cloud platforms both running and kept continuously in sync, so modernisation happens without disrupting mission-critical systems

Real-Time Coexistence, End to End

Trusted, continuous synchronisation between legacy platforms and modern environments.

Live transaction twin Legacy systems provide committed change records to Rocket Data Replicate and Sync. RDRS captures and transforms those changes, the CCA Data Connector and OpenText Voltage SecureData protect sensitive values, and protected records are applied to modern platforms. A verified return path confirms current state.
Legacy-to-cloud live transaction twin Orange update packets move from legacy systems through RDRS and a secure data aperture to modern platforms. Cyan verification packets return along a lower rail. A six-stage rail names Source, Capture, Transform, Secure, Apply and Store. POLICY PLANE OpenText Voltage Data Security Platform discover · classify · govern · protect SYSTEMS OF RECORD Legacy core Committed change records IBM z/OS Db2 · VSAM Enterprise ADABAS Distributed + cloud Kafka · MySQL · Azure LOG-LEVEL CDC · REPLICATION ENGINE Rocket Data Replicate and Sync Capture only what changed. CDC Capture transaction logs Transform map · filter SECURE CCA CONNECTOR Voltage SecureData encrypt · tokenise PROTECTED MODERN PLATFORMS Apply once. Use everywhere. Streaming Kafka · Kinesis Cloud data AWS · Azure AI + analytics trusted operational data ONE CONNECTED FLOW CAPTURE ONCE · PROTECT IN MOTION · DELIVER CURRENT 01SourceAccess change records 02CaptureRead committed logs 03TransformMap and filter 04SecureProtect in motion 05ApplyDeliver to targets 06StoreKeep data current
Policy plane OpenText Voltage Data Security Platform Discover · classify · govern · protect
Forward · update → capture → transform → protect → apply
Systems of record Legacy core

IBM z/OS · Db2 · VSAM · distributed and cloud sources

Log-level CDC Rocket Data Replicate and Sync

Capture only what changed. Map and transform in real time.

Secure CCA Connector

Voltage SecureData protects sensitive values before delivery.

Modern platforms Apply once. Use everywhere.

Streaming · cloud data · AI and analytics

Return · applied ← verified ← current
  1. 01Source
  2. 02Capture
  3. 03Transform
  4. 04Secure
  5. 05Apply
  6. 06Store
  1. 01 · Source Legacy data stores

    Mainframe, distributed and cloud sources provide committed change records.

  2. 02–03 · Capture + Transform Rocket Data Replicate and Sync

    RDRS reads transaction logs, maps and transforms only what changed, and keeps connected systems aligned.

  3. 04 · Secure CCA Data Connector + Voltage SecureData

    Sensitive values are protected through format-preserving encryption, tokenisation and policy controls before delivery.

  4. 05–06 · Apply + Store Modern and legacy targets

    Protected operational data is applied to cloud, streaming, analytics and existing platforms, current and ready downstream.

Purpose-Built Components, Working as One

OpenText Voltage Data Security Platform (DSP)

Discovers and automatically classifies structured data assets - what exists, where it resides, and how it should be governed.

Rocket Data Replicate and Sync (RDRS)

Real-time change data capture and synchronisation across legacy and modern environments, as changes occur.

CCA Secure Data Connector

Integrates real-time replication with protection services so sensitive data stays protected throughout synchronisation.

OpenText Voltage SecureData

Encryption, format-preserving encryption, tokenisation and policy-driven controls - without impacting usability.

What the Solution Delivers

Real-Time Synchronisation

Trusted data movement between legacy and modern platforms.

Protected-by-Design Pipelines

Sensitive information protected before it leaves source systems.

Cloud Enablement

Support cloud adoption without additional governance risk.

AI Readiness

Trusted, governed data foundations for AI initiatives.

Incremental Transformation

Modernise progressively, delivering value at each phase rather than in a single go-live.

Outcomes That Matter to the Business

Accelerate Time to Value

Deliver outcomes in months rather than years.

Reduce Transformation Risk

Avoid disruptive replacement programs.

Preserve Existing Investments

Continue leveraging proven operational systems.

Enable Innovation

Make enterprise data available for cloud, analytics and AI.

Strengthen Governance

Improve visibility and control over sensitive information.

Frequently asked questions

What is legacy and cloud coexistence?

It is CCA’s approach to modernising mainframe and legacy systems without replacing them. Real-time replication keeps legacy platforms and modern environments synchronised, so core operational platforms keep performing the functions they already do well while cloud, streaming and analytics platforms work from current data.

Do we have to replace or rewrite our mainframe to modernise?

No. Coexistence is designed to avoid disruptive replacement programmes: you continue leveraging proven operational systems and modernise progressively, delivering value at each phase rather than in a single go-live.

How current is the data that reaches the modern environment?

Changes are captured as they occur rather than on a batch schedule. RDRS reads transaction logs, maps and transforms only what changed, and keeps connected systems aligned, delivering committed change records to streaming, cloud, analytics and existing platforms.

Which platforms and data sources does coexistence cover?

Sources include IBM z/OS, Db2, VSAM and distributed and cloud systems, with protected data delivered to streaming platforms, cloud data services, AI and analytics. Mainframe, distributed and cloud sources provide the committed change records that Rocket Data Replicate and Sync consumes.

How is sensitive data protected as it moves between legacy and cloud?

Protection is applied before delivery rather than after. OpenText Voltage SecureData protects sensitive values through format-preserving encryption, tokenisation and policy-driven controls, and CCA Secure Data Connector integrates real-time replication with protection services so sensitive data stays protected throughout synchronisation.

How quickly can we see results, and how is the work delivered?

Outcomes are targeted in months rather than years, delivered incrementally and aligned to real business needs rather than saved up for a single go-live. The approach reduces delivery risk by avoiding the need to untangle deeply embedded complexity inside legacy applications.

See what a coexistence-first approach makes possible for your organisation.

Talk to a consultant about modernising without replacing what already works.

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A phased path leading from current-state systems to a clearly defined business outcome