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February 19, 2026 min readmigrating legacy portal logic

The Visual Cloud Strategy: Migrating Legacy Portal Logic to AWS Amplify

R
Replay Team
Developer Advocates

The Visual Cloud Strategy: Migrating Legacy Portal Logic to AWS Amplify

Legacy portals are the "black boxes" of the enterprise. They hold the keys to critical business workflows—claims processing, underwriting, patient management, or supply chain logistics—yet they are often built on crumbling foundations of JSP, ASPX, or Silverlight. When you attempt migrating legacy portal logic to a modern stack like AWS Amplify, you aren't just moving code; you are performing archeology on undocumented business rules.

According to Replay’s analysis, 67% of legacy systems lack any form of up-to-date documentation. This "documentation debt" is the primary reason why 70% of legacy rewrites either fail entirely or significantly exceed their original timelines. The $3.6 trillion global technical debt isn't just a financial figure; it's a barrier to cloud-native innovation.

TL;DR: Migrating legacy portal logic to AWS Amplify often fails due to undocumented business rules and the sheer manual effort of reverse engineering (40 hours per screen). By using Replay for Visual Reverse Engineering, enterprises can record existing workflows and automatically generate documented React components and logic, reducing migration timelines from years to weeks and saving up to 70% in development costs.

The Friction in Migrating Legacy Portal Logic#

Traditional migration strategies rely on "The Big Bang" rewrite or a slow, manual "Strangler Fig" pattern. Both suffer from the same bottleneck: the human element. A developer must sit with a Subject Matter Expert (SME), watch them use the legacy portal, take notes, and then attempt to recreate that logic in a modern framework like React or Vue.

This manual process takes an average of 40 hours per screen. In a portal with 50+ complex screens, you are looking at nearly a year of work just to reach parity, let alone innovate. This is where migrating legacy portal logic becomes a liability rather than an upgrade.

The Documentation Gap#

Industry experts recommend a "discovery-first" approach, but discovery is notoriously difficult when the original architects have long since left the company. If you cannot see the logic, you cannot migrate it. This is why Visual Reverse Engineering has become the gold standard for high-stakes migrations in regulated industries like Financial Services and Healthcare.

Video-to-code is the process of capturing real-time user interactions within a legacy application and programmatically converting those visual states, data flows, and UI elements into clean, documented code.


Why AWS Amplify is the Destination#

AWS Amplify provides a purpose-built environment for hosting and scaling web applications. It abstracts the complexity of AWS services like Cognito (Auth), AppSync (GraphQL), and S3 (Storage). However, the "Amplify way" requires a clean break from monolithic thinking.

When migrating legacy portal logic, you are moving from:

  1. Server-side state to Client-side state
  2. Monolithic SQL calls to GraphQL/REST API patterns
  3. Hardcoded UI to Component-based Design Systems

Replay bridges this gap by extracting the "Blueprints" of your legacy system. Instead of guessing how a multi-step form validates data, Replay records the flow and generates the corresponding React logic that can be directly deployed to Amplify.

Comparison: Manual Migration vs. Replay-Assisted Migration#

FeatureManual Migration (Status Quo)Replay-Assisted Migration
Discovery Time20-40 hours per screen1-2 hours per screen
DocumentationHand-written, often incompleteAuto-generated from recordings
Logic ExtractionGuesswork & Code ArcheologyVisual Reverse Engineering
Timeline (50 Screens)18-24 Months2-4 Months
Code QualityInconsistent (Dev-dependent)Standardized React/TypeScript
Success Rate~30%~95%

Technical Implementation: From Legacy Recording to Amplify Logic#

The core of migrating legacy portal logic involves isolating business rules from the presentation layer. Let's look at how we can take a legacy "Validation and Submission" flow and modernize it for AWS Amplify using a visual strategy.

Step 1: Extracting Logic with Replay#

By recording a user completing a "New Loan Application" in a legacy portal, Replay identifies the state changes. It sees that when

text
Field_A
is greater than 500,
text
Field_B
becomes mandatory. This is exported into a "Blueprint" that defines the component's behavior.

Step 2: Modernizing the Component#

Instead of a 2,000-line JSP file, we generate a clean React component. Below is an example of how that extracted logic is structured for an Amplify-backed application.

typescript
// Extracted and Modernized Logic for AWS Amplify import React, { useState, useEffect } from 'react'; import { API, graphqlOperation } from 'aws-amplify'; import { createLoanApplication } from './graphql/mutations'; import { useForm } from 'react-hook-form'; interface LegacyFormData { loanAmount: number; creditScore: number; employmentStatus: string; } const LoanApplicationPortal: React.FC = () => { const { register, handleSubmit, watch, formState: { errors } } = useForm<LegacyFormData>(); const [isSubmitting, setIsSubmitting] = useState(false); // Logic extracted via Replay: Mandatory field dependency const loanAmount = watch('loanAmount'); const isHighRisk = loanAmount > 50000; const onSubmit = async (data: LegacyFormData) => { setIsSubmitting(true); try { // Mapping legacy logic to AWS Amplify AppSync Mutation await API.graphql(graphqlOperation(createLoanApplication, { input: data })); alert('Application Submitted Successfully'); } catch (error) { console.error('Error migrating legacy portal logic to cloud:', error); } finally { setIsSubmitting(false); } }; return ( <form onSubmit={handleSubmit(onSubmit)} className="p-6 bg-white shadow-md rounded"> <h2 className="text-xl font-bold mb-4">Loan Application</h2> <input {...register('loanAmount', { required: true })} placeholder="Loan Amount" /> {/* Dynamic logic extracted from legacy UI recording */} {isHighRisk && ( <div className="alert alert-warning"> Additional documentation is required for loans over $50,000. </div> )} <button type="submit" disabled={isSubmitting}> {isSubmitting ? 'Processing...' : 'Submit Application'} </button> </form> ); }; export default LoanApplicationPortal;

Step 3: Mapping Flows to Amplify Backend#

The "Flows" feature in Replay allows architects to map visual transitions to backend triggers. For instance, a "Submit" button in the legacy UI might have triggered a complex stored procedure. In the modern Amplify architecture, we map this to a Lambda function or a direct DynamoDB integration via AppSync.

Visual Architecture Mapping is the process of overlaying modern cloud infrastructure components onto recorded legacy user journeys to ensure 1:1 functional parity.


Handling Complex Data Structures#

One of the biggest hurdles in migrating legacy portal logic is the "Data Swamp." Legacy portals often use flat, denormalized data structures that don't play well with GraphQL's hierarchical nature.

According to Replay's analysis, developers spend 30% of their migration time just re-mapping data types. Replay simplifies this by providing a "Component Library" that includes the data-binding logic discovered during the recording phase.

Example: Transforming Legacy API Responses#

When the legacy portal calls a backend, Replay intercepts the network traffic during the recording. It then generates TypeScript interfaces that match the actual data being used, not just the "theoretical" documentation.

typescript
// Legacy Response Intercepted by Replay interface LegacyUserResponse { USR_ID: string; F_NAME: string; L_NAME: string; PREF_LANG_CD: 'EN' | 'FR' | 'ES'; ACTV_FLG: 'Y' | 'N'; } // Modernized Amplify-ready Interface export interface UserProfile { id: string; firstName: string; lastName: string; preferredLanguage: string; isActive: boolean; } // Transformation Utility generated by Replay AI Automation Suite export const transformLegacyUser = (legacy: LegacyUserResponse): UserProfile => ({ id: legacy.USR_ID, firstName: legacy.F_NAME, lastName: legacy.L_NAME, preferredLanguage: legacy.PREF_LANG_CD, isActive: legacy.ACTV_FLG === 'Y', });

By automating this transformation, you eliminate the "silent failures" that occur when migrating legacy portal logic where data fields are missed or misinterpreted.


Security and Compliance in Regulated Industries#

For Financial Services and Healthcare, the cloud strategy isn't just about speed; it's about security. Migrating to AWS Amplify offers SOC2 and HIPAA-ready environments, but the transition itself must be secure.

Replay is built for these environments. With on-premise deployment options and SOC2 compliance, it allows teams to record sensitive workflows without exposing PII (Personally Identifiable Information). This is critical when migrating legacy portal logic in sectors where data privacy is non-negotiable.

The Role of Design Systems#

A successful migration doesn't just copy the old look; it improves it. Replay's "Library" feature extracts the atomic elements of your legacy portal—buttons, inputs, modals—and organizes them into a modern Design System. This allows you to maintain brand consistency while moving to a modern React-based UI on Amplify. For more on this, see our guide on building design systems from legacy UIs.


Strategies for a Phased Migration#

Industry experts recommend against the "Big Bang" approach. Instead, use a phased "Visual Strategy":

  1. Phase 1: Recording and Discovery (Weeks 1-2): Use Replay to record all critical user flows in the legacy portal. This creates a "Source of Truth" that doesn't rely on outdated documents.
  2. Phase 2: Component Extraction (Weeks 3-6): Convert recordings into React components and hooks. Use Replay's AI Automation Suite to clean up the code and ensure it follows AWS Amplify best practices.
  3. Phase 3: Integration and Deployment (Weeks 7-12): Connect the new components to Amplify services (Cognito, AppSync). Because the logic was extracted visually, testing for parity is as simple as comparing the new UI to the recording.

This strategy reduces the average enterprise rewrite timeline from 18 months to just a few weeks. By focusing on migrating legacy portal logic through a visual lens, you bypass the traditional pitfalls of manual code analysis.


The Economics of Visual Reverse Engineering#

The cost of inaction is high. Every year a legacy portal remains in production, it consumes more of the IT budget in maintenance and "keep-the-lights-on" (KTLO) costs.

MetricManual ApproachReplay Approach
Developer Cost (Avg $100/hr)$4,000 per screen$400 per screen
Total Cost for 100 Screens$400,000$40,000
Opportunity Cost18 months of lost innovation2 months to market

By saving 70% of the time required for migrating legacy portal logic, organizations can reallocate their best talent to high-value features rather than tedious reverse engineering. To understand the broader impact of technical debt on your organization, check out our article on calculating the cost of technical debt.


Conclusion: The Path Forward#

Migrating legacy portal logic to AWS Amplify doesn't have to be a journey into the unknown. By shifting from a code-first approach to a visual-first strategy, you gain clarity, speed, and reliability. AWS Amplify provides the robust cloud infrastructure, and Replay provides the map to get there.

The days of 18-month migration cycles are over. With Visual Reverse Engineering, the "black box" of legacy logic is finally open.

Frequently Asked Questions#

How does Replay handle complex business logic that isn't visible on the UI?#

While Replay excels at visual logic, it also captures network requests and state changes. By analyzing how the UI reacts to specific data inputs and backend responses, Replay can reconstruct the underlying business rules that govern the user experience. This provides a much more accurate foundation for migrating legacy portal logic than reading old source code alone.

Is AWS Amplify suitable for large-scale enterprise portals?#

Yes. AWS Amplify is designed to scale. By leveraging Amazon Cognito for identity, AWS AppSync for data, and the global AWS CDN for hosting, it can support millions of users. The challenge is usually not the cloud's capacity, but the complexity of the logic being moved. Replay simplifies this transition by ensuring the frontend logic is clean and ready for a cloud-native environment.

Can Replay work with extremely old technologies like Mainframe-backed web apps or Silverlight?#

Yes. Because Replay uses Visual Reverse Engineering, it is technology-agnostic. If a user can interact with it in a browser or a terminal emulator, Replay can record the workflow and extract the "Blueprint" of that interaction. This makes it the ideal tool for migrating legacy portal logic from systems that are decades old and lack modern APIs.

How does this approach impact the QA and testing phase?#

It significantly accelerates it. Since Replay provides a side-by-side recording of the original system and the generated code, QA teams can perform "Visual Parity Testing." You are no longer testing against a vague requirement document; you are testing against a recorded reality. This ensures that the migrated logic behaves exactly like the original.

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