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Specific solution · Digital Transformation

Legacy Modernization

Modernize the system without losing the operation.

EINO changes aging applications, data, and infrastructure in controlled increments. Critical services keep running while teams expose dependencies, prove new components, reconcile data, and prepare the people who will own the modern estate.

Discuss your contextExplore capabilities

Estate transition trace

Coexistence controls active
Current system strataControlled coexistence seamModern service modulesEvidence-led cutover

Evidence framework

Define proof before production.

Baselines and targets are agreed for each engagement. These dimensions shape what the team evaluates; they are not promised historical results.

Service value

Does the change improve the service?

Baseline the business and engineering work the system supports, then measure whether the new path removes a real constraint.

  • Transaction time
  • Change lead time
  • User adoption
  • Support demand

Continuity + data integrity

Can the operation move safely?

Prove coexistence, reconciliation, cutover, and rollback with representative volumes and business-critical scenarios.

  • Reconciliation exceptions
  • Cutover window
  • Rollback readiness
  • Service interruption

Reliability + maintainability

Can teams own the modern estate?

Test recovery, observability, deployment, documentation, and support before legacy dependencies are removed.

  • Recovery time
  • Change failure rate
  • Known dependencies
  • Operating ownership

Solution portfolio

Five connected parts of a controlled modernization.

The portfolio begins with the estate and business service, then connects application change, cloud-native patterns, data movement, and modern controls into one transition plan.

ASM

Modernization Assessment + Roadmap

Decide what to change, in what order, and why.

Build a service-led view of applications, data, infrastructure, integrations, risk, cost, and ownership. The roadmap groups related change into transition waves with explicit evidence and decision points.

Technical capability

  • Application + dependency discovery
  • Business capability + service mapping
  • Technical health, cost + risk assessment
  • Retain-to-retire treatment decisions
  • Target-state architecture + transition waves
  • Business case + evidence planning

Business application

  • Core-system portfolio planning
  • Data-center exit preparation
  • Unsupported platform remediation
  • Merger + acquisition estate rationalization
  • Budget + investment sequencing
  • Vendor + license renewal decisions

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

10 systems

identified as most critical

GAO review of 65 US federal legacy systems
8–51 yrs

age range of critical systems

The 10 systems in the same federal review
$337M

combined annual operating cost

Agency-reported cost for those 10 systems
APP

Application Replatforming + Reengineering

Change the application at the boundary the evidence supports.

Move selected workloads to supportable runtimes or reshape tightly coupled code into maintainable components. Preserve business rules, interfaces, and recovery paths while each increment is tested against the current service.

Technical capability

  • Code, runtime + dependency analysis
  • Runtime and framework upgrades
  • Containerization + managed runtime adoption
  • Modularization + service decomposition
  • API enablement + interface preservation
  • Regression, performance + rollback engineering

Business application

  • Mainframe application change
  • Monolith decomposition
  • Unsupported framework upgrades
  • Commercial runtime exit
  • Batch + transaction service modernization
  • Release pipeline modernization

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

60%

lower operating cost

DB Cargo mainframe application modernization
80%

usage-based scaling

The same DB Cargo production application
89%

shorter scale-up + rollback time

XeroWeb container replatforming
50%

lower mean time to recovery

Reported after the XeroWeb replatform
CLD

Cloud-Native Modernization

Use modern platform patterns where they improve the service.

Refactor selected capabilities around managed infrastructure, automated delivery, elastic capacity, and observable services. Keep hybrid constraints and service ownership visible instead of treating cloud as the outcome by itself.

Technical capability

  • Cloud readiness + workload placement
  • Service + event-driven architecture
  • Container + serverless platform engineering
  • Infrastructure and policy as code
  • Delivery automation + environment design
  • Resilience, capacity + cost engineering

Business application

  • Elastic transaction processing
  • Digital service enablement
  • Development environment automation
  • Peak-demand service scaling
  • Regional service deployment
  • Hybrid application modernization

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

40%

shorter infrastructure deployment

FSS payment-platform modernization
35%

lower transaction latency

The same FSS production platform
3 mo → min

development environment build time

Capital One cloud transformation
70%

better disaster recovery time

Capital One recovery testing
DAT

Data Modernization + Integration

Move data with reconciliation, lineage, and live service needs intact.

Untangle operational data from legacy platforms, modernize selected stores, and create governed integration paths. Dual running, validation, and traceable ownership protect the records that the business depends on.

Technical capability

  • Data estate + lineage discovery
  • Schema and database modernization
  • API, event + batch integration
  • Replication + change data capture
  • Reconciliation + data-quality controls
  • Cutover, archival + retention engineering

Business application

  • Operational database migration
  • Legacy data access through APIs
  • System-of-record consolidation
  • Real-time event integration
  • Regulatory + financial data retention
  • Analytics platform enablement

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

$2.2M

annual database + license savings

Infios database modernization
24h → 1–2h

database environment refresh

Reported after the Infios migration
40%

lower service latency

Amazon financial systems modernization
70%

lower administration overhead

The same 120+ TB financial data estate
SEC

Security + Compliance Modernization

Modernize controls with the systems they protect.

Replace unsupported components, redesign identity and access, automate control evidence, and preserve auditability through coexistence. Security, privacy, recovery, and compliance become architecture decisions rather than a final review.

Technical capability

  • Unsupported component + vulnerability remediation
  • Identity, access + secrets modernization
  • Encryption + key-management design
  • Policy and control automation
  • Evidence, logging + audit integration
  • Recovery + incident readiness

Business application

  • End-of-support platform remediation
  • Regulated workload modernization
  • Privileged-access redesign
  • Security control consolidation
  • Audit evidence automation
  • Resilience + recovery improvement

Published results + market benchmarks

External research and case-study benchmarks. Results vary by use case.

54%

fewer code vulnerabilities

Altisource legacy Java modernization
63 of 228

legacy systems rated red

UK central-government legacy estate sample
78%

red-rated systems with full funding

Funded remediation plans in the same sample
View research sources (9)

These are external benchmarks, estimates, and published case-study results—not guaranteed EINO outcomes. Results depend on scope, system conditions, implementation, and operating context.

  1. 01

    US Government Accountability Office · 2023 · Government audit testimony

    Information Technology: Agencies Need to Continue Addressing Critical Legacy Systems

    A review of 65 federal legacy systems, including age, annual operating cost, security exposure, and modernization-plan completeness for the 10 most critical systems.

    Read source
  2. 02

    Amazon Web Services · Accessed 2026 · Customer case study

    Modernizing a key mainframe application using AWS with DB Cargo

    A rail-production application case reporting operational cost and usage-based scaling after incremental mainframe modernization.

    Read source
  3. 03

    Amazon Web Services · Accessed 2026 · Customer case study

    Reducing scale-up time by up to 89% using Amazon ECS with Xero

    A core accounting application replatformed through phased traffic routing, with rollback, recovery, and deployment-effort measures.

    Read source
  4. 04

    Amazon Web Services · Accessed 2026 · Customer case study

    FSS migrates payment platform to AWS to cut costs by 40% and boost efficiency

    A regulated payment-platform case reporting infrastructure deployment, operating efficiency, cost, and transaction-latency measures.

    Read source
  5. 05

    Amazon Web Services · Accessed 2026 · Customer case study

    Capital One completes migration from data centers to AWS

    An eight-data-center transformation case reporting development-environment and disaster-recovery measures.

    Read source
  6. 06

    Amazon Web Services · Accessed 2026 · Customer case study

    Saving $2.2 million annually by modernizing on Amazon Aurora with Infios

    A supply-chain database case covering more than 200 migrated databases, annual cost, environment-refresh time, and operating reliability.

    Read source
  7. 07

    Amazon Web Services · Accessed 2026 · Customer case study

    Scaling Amazon.com’s transactional subledger using Amazon DynamoDB

    A 120+ TB financial data modernization with row-level migration validation, SOX controls, latency, cost, and administration measures.

    Read source
  8. 08

    Amazon Web Services · Accessed 2026 · Customer case study

    Altisource boosts developer productivity by 25% with Amazon Q Developer

    A legacy Java modernization covering more than 350,000 lines of code and a reported change in detected code vulnerabilities.

    Read source
  9. 09

    UK National Audit Office · 2025 · Government audit report

    Government cyber resilience

    Analysis of 228 legacy systems reported by 27 departments, including operational and security risk ratings and the funding status of remediation plans.

    Read source

Operating contexts

The constraints shape the system.

Information sensitivity, decision authority, service expectations, and review obligations change what a responsible implementation requires.

GOV

Government + public services

Long-lived records, procurement boundaries, accessibility, audit duties, and services that cannot pause shape the order and evidence for change.

  • Case + benefits systems
  • Citizen services
  • Records + audit
HLT

Healthcare + life sciences

Sensitive data, validated workflows, clinical or research dependencies, retention, and accountable decisions require controlled interfaces and traceable cutover.

  • Care administration
  • Research systems
  • Validated operations
FIN

Financial services

Transaction integrity, reconciliation, regulatory evidence, latency, and recovery obligations determine which components can change together.

  • Core transactions
  • Risk + reporting
  • Customer operations

Enterprise architecture

Run the current and target states as one governed system.

Modernization architecture must show how live services, transition mechanisms, target components, controls, and operations remain connected before, during, and after cutover.

01

Current services + dependencies

Applications, data stores, interfaces, batch work, infrastructure, business rules, and owners form the evidence-backed current state.

02

Coexistence + integration

APIs, adapters, event paths, replication, and routing let current and modern components serve the operation together.

03

Change + migration mechanisms

Automated build, transformation, testing, data validation, and environment controls move each bounded increment.

04

Target applications + data

Supportable runtimes, modular services, modern data platforms, and documented interfaces carry the approved workload.

05

Operate + retire

Monitoring, support, recovery, cost, ownership, adoption, and evidence govern cutover and the retirement of superseded components.

Controls that cross the system

  • Identity + security
  • Observability + service levels
  • Cost + capacity
  • Ownership + support
  • Recovery + rollback

Deployment patterns

  • On-premises retention
  • Hybrid coexistence
  • Managed cloud
  • Cloud-native target

Selected around data, integration, control, performance, and ownership requirements.

Transformation strategy

Choose the treatment for each system boundary.

No single migration pattern fits an estate. Business value, technical condition, coupling, data sensitivity, service tolerance, and ownership determine what to retain, integrate, move, change, replace, or retire.

Modernization is not the same as migration

Rehosting can change where a workload runs without changing how it is built. The roadmap makes that trade-off explicit and schedules deeper change only where the evidence supports it.

  1. 01

    Preserve

    Retain + integrate

    Keep a dependable component when its business value and condition justify it, and expose only the stable interfaces needed by new services.

  2. 02

    Move

    Rehost

    Change the hosting environment when capacity, support, or data-center constraints matter more than near-term application redesign.

  3. 03

    Change

    Replatform + refactor

    Adopt a supportable runtime or reshape code and data where maintainability, resilience, delivery, or scaling evidence justifies deeper change.

  4. 04

    Exit

    Replace + retire

    Move to a fit-for-purpose product or remove a redundant capability when preserving custom technology no longer creates enough value.

Delivery path

Change in increments, prove every handoff.

Five stages connect current-state evidence to coexistence, cutover, rollback, adoption, and long-term ownership without treating go-live as the end of the work.

  1. 01Frame

    What service must remain dependable?

    Map users, business outcomes, service baselines, critical periods, data obligations, dependencies, owners, and explicit exclusions.

    Current-state findings + priorities
  2. 02Shape

    Which treatment fits each boundary?

    Choose retain-to-retire decisions, target components, transition waves, controls, evidence, and accountable owners.

    Target architecture + transition plan
  3. 03Make

    How will old and new work together?

    Build one bounded slice with production-like interfaces, data synchronization, observability, support procedures, and coexistence controls.

    Integrated coexistence increment
  4. 04Prove

    Can the operation cut over and come back?

    Rehearse reconciliation, performance, security, adoption, cutover, rollback, and recovery under representative operating conditions.

    Evidence + cutover decision
  5. 05Operate

    Who owns the modern service?

    Transfer support, monitor service and cost, manage adoption, close residual risk, and retire superseded technology only after acceptance.

    Operating ownership + retirement backlog

A practical place to begin

Start with a Legacy Modernization Assessment.

The assessment turns an estate-wide ambition into prioritized decisions, a target architecture, an evidence plan, and a controlled first transition.

Assessment outputs

  • Current-state findings + dependency map
  • Prioritized systems + treatment decisions
  • Connected target architecture
  • Evidence, reconciliation + control plan
  • Coexistence, cutover + rollback path
  • First delivery recommendation
Plan a Legacy Modernization AssessmentSee how EINO works