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February 6, 20268 min readModernizing Pharma Manufacturing

Modernizing Pharma Manufacturing Systems: Maintaining GxP Compliance During Migration

R
Replay Team
Developer Advocates

The $3.6 trillion global technical debt isn't just a line item on a balance sheet; in pharmaceutical manufacturing, it’s a systemic risk to patient safety and regulatory standing. Most pharma CIOs are trapped in a "Validation Paradox": the systems running their multi-billion dollar production lines are decades-old fossils, yet the cost and risk of re-validating a modernized version under GxP (Good Practice) guidelines are so high that they choose to let the technical debt compound.

This stagnation is a choice, not a necessity. The traditional "Big Bang" rewrite fails 70% of the time because it relies on "documentation archaeology"—trying to reconstruct business logic from 15-year-old SOPs that no longer match the reality of the software. To modernize pharma manufacturing without losing GxP compliance, we must stop guessing what the legacy code does and start recording what it actually performs.

TL;DR: Modernizing pharma manufacturing requires shifting from manual code archaeology to automated Visual Reverse Engineering, allowing teams to extract validated business logic into modern React architectures while maintaining GxP compliance and reducing timelines by 70%.

The High Cost of "Don't Touch It"#

In regulated environments, the mantra "if it isn't broken, don't fix it" has led to a dangerous reliance on brittle, monolithic systems. These systems often lack documentation (67% of legacy systems have none), and the original developers are long gone. When a manufacturing execution system (MES) or a laboratory information management system (LIMS) needs to be updated to meet new FDA or EMA requirements, the organization faces an 18-24 month rewrite timeline.

The risk isn't just the timeline; it's the deviation. If the new system doesn't perfectly replicate the validated logic of the old system, you face a compliance breach. Manual extraction of this logic takes roughly 40 hours per screen. For a complex manufacturing suite, that's thousands of hours of high-risk manual labor.

The Migration Strategy Matrix#

ApproachTimelineGxP RiskCostLogic Preservation
Big Bang Rewrite18-24 monthsHigh (70% fail)$$$$Low (Manual)
Lift & Shift6-12 monthsMedium$$High (But stays legacy)
Strangler Fig12-18 monthsMedium$$$Medium
Visual Reverse Engineering (Replay)2-8 weeksLow$High (Automated)

Visual Reverse Engineering: The GxP Shortcut#

The future of modernization isn't rewriting from scratch; it's understanding what you already have. Replay introduces a paradigm shift: Video as the source of truth.

By recording a real user performing a validated workflow in the legacy system, Replay captures the exact state changes, API calls, and UI interactions. This isn't just a screen recording; it’s a deep-trace capture that allows the platform to generate documented React components and API contracts that are 1:1 matches with the legacy behavior.

Preserving Business Logic in React#

When migrating a pharma UI—for example, a batch release dashboard—you cannot afford to lose the complex validation logic hidden in the legacy frontend. Replay extracts this logic into modern, modular code.

typescript
// Example: Migrated Batch Validation Component generated by Replay // This component preserves the legacy business logic for GxP compliance import React, { useState, useEffect } from 'react'; import { validateBatchIntegrity, postAuditTrail } from './legacy-bridge'; interface BatchProps { batchId: string; operatorId: string; } export function BatchReleaseModule({ batchId, operatorId }: BatchProps) { const [status, setStatus] = useState<'pending' | 'validated' | 'error'>('pending'); // Logic extracted via Replay Visual Reverse Engineering const handleValidation = async () => { const isValid = await validateBatchIntegrity(batchId); if (isValid) { // Replay identified this mandatory GxP audit trail trigger await postAuditTrail({ action: 'BATCH_RELEASE', timestamp: new Date().toISOString(), user: operatorId, target: batchId }); setStatus('validated'); } else { setStatus('error'); } }; return ( <div className="modern-ui-container"> <h3>Batch Release: {batchId}</h3> <button onClick={handleValidation} className="btn-primary"> Execute Validated Release </button> {status === 'validated' && <p className="success">GxP Audit Trail Recorded</p>} </div> ); }

💰 ROI Insight: Manual screen reconstruction takes ~40 hours. Replay reduces this to ~4 hours by automating the UI and logic extraction, representing a 90% reduction in engineering overhead for the frontend migration.

A 4-Step Framework for GxP-Compliant Modernization#

To maintain compliance during a migration, you need a repeatable, auditable process. Replay’s AI Automation Suite facilitates this by turning black-box legacy systems into documented codebases.

Step 1: Visual Capture & Mapping#

Instead of reading thousands of lines of COBOL or legacy Java, a subject matter expert (SME) simply performs the standard operating procedure (SOP) while Replay records the session. This creates a "Flow"—a visual and technical map of the entire process.

Step 2: Component Extraction (The Library)#

Replay’s "Blueprints" editor takes the recorded flow and identifies UI patterns. It automatically generates React components that match the legacy functionality but use your modern Design System. This ensures that the user experience is improved without changing the underlying validated business rules.

Step 3: API Contract Generation#

Pharma systems rely on complex data exchanges. Replay monitors the network traffic during the recording to generate precise API contracts (OpenAPI/Swagger).

yaml
# Generated API Contract for Legacy LIMS Integration openapi: 3.0.0 info: title: Legacy LIMS Batch Export version: 1.0.2 paths: /api/v1/samples/{sampleId}/validate: post: summary: Validates sample data against GxP thresholds parameters: - name: sampleId in: path required: true schema: type: string responses: '200': description: Validation successful content: application/json: schema: $ref: '#/components/schemas/ValidationResult'

Step 4: Automated E2E Testing#

The final hurdle in GxP is validation (IQ/OQ/PQ). Replay automatically generates End-to-End (E2E) tests based on the recorded legacy workflow. These tests act as a "compliance bridge," proving that the new system behaves exactly like the old one.

⚠️ Warning: Never skip the "Technical Debt Audit" phase. Replay provides an automated audit that identifies hard-coded credentials or deprecated protocols in your legacy flows before you migrate them to the cloud.

Challenging the "Documentation First" Myth#

Conventional wisdom says you must document your legacy system before you can modernize it. This is a fallacy that leads to "Analysis Paralysis." In pharma, documentation is often a lagging indicator of what the system should do, not what it actually does.

Replay flips this: Extraction is Documentation.

By using Replay, the act of modernizing the system is the act of documenting it. The generated React components, API contracts, and Flow diagrams become the new technical documentation, satisfying SOC2, HIPAA, and GxP requirements for traceability.

💡 Pro Tip: For highly regulated environments, use Replay's On-Premise deployment. This ensures that sensitive manufacturing data captured during the recording process never leaves your secure network.

Solving the "Black Box" Problem in Manufacturing#

Manufacturing Execution Systems (MES) are notoriously difficult to modernize because they are often "black boxes" with proprietary interfaces. Replay’s ability to record workflows at the browser or desktop level allows it to see through these proprietary layers.

When a global pharmaceutical leader needed to modernize their legacy quality control system, they faced a 22-month estimate for a manual rewrite. By using Replay to record the 150 core workflows of their lab technicians, they were able to:

  1. Extract all 150 screens into a modern React Library in 3 weeks.
  2. Automatically generate the API documentation that the original vendor had lost.
  3. Reduce the total project timeline from 22 months to 5 months.

Frequently Asked Questions#

How does Replay ensure GxP compliance during extraction?#

GxP requires a clear audit trail and proof that the system performs as intended. Replay provides this by using the legacy system's own execution as the baseline. The generated E2E tests and documentation provide the "Expected Results" for validation protocols, ensuring that the modernized version is a verified functional clone of the validated legacy state.

What about business logic preservation?#

Unlike simple screen scrapers, Replay captures the underlying data transformations and state changes. Our AI Automation Suite analyzes the recording to identify conditional logic (e.g., "If Temperature > 30°C, trigger Alert"). This logic is then refactored into the generated React components or backend middleware, ensuring no critical manufacturing rules are lost.

Does Replay work with legacy technologies like Silverlight or Mainframe wrappers?#

Yes. If a user can interact with it via a web browser or a modern desktop environment, Replay can record and extract it. We specialize in taking "un-modernizable" interfaces and turning them into clean, documented React codebases.

How long does a typical pilot take?#

A standard pilot with Replay takes 5-10 business days. During this time, we typically identify a high-value "bottleneck" screen or workflow in your legacy manufacturing stack and extract it into a fully functional, documented React component live.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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