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Application Modernisation

Transform Legacy Applications Into Cloud-Native Systems - Without Disrupting Your Business

We help enterprise organisations migrate complex legacy applications to modern, cloud-native architectures using proven patterns including monolith-to-microservices decomposition, the strangler fig pattern, and incremental re-platforming. Every engagement is grounded in a rigorous risk assessment and a phased migration plan that keeps production running throughout.

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500+
Enterprise Clients
10,000+
Engineers Deployed
50+
Countries Served
99.4%
CSAT Score
48h
Team Assembly
ISO 27001
Certified

The Challenge

Legacy Applications Are Holding Your Business Back

Monolithic architectures built for a different era of computing now impose compounding constraints on every team in your organisation. Deployment cycles measured in months, inability to scale individual capabilities independently, mounting security vulnerabilities in unsupported frameworks, and a shrinking pool of engineers willing to maintain ageing technology stacks are symptoms of a structural problem that cannot be solved by adding more developers to the existing codebase.

73%
of enterprise IT budgets spent maintaining legacy systems rather than innovation
6x
longer feature delivery cycles in monolithic versus microservices architectures
$3.8T
annual global cost of technical debt from legacy application maintenance
4x
higher cloud infrastructure cost running legacy apps without re-platforming

Why QuickHire

Why Enterprises Choose QuickHire

01

Portfolio-Level Assessment

We evaluate every application in your estate against modernisation ROI, business criticality, and technical risk before a single line of code is changed. This prevents the common failure mode of modernising the wrong applications first.

02

Domain-Driven Decomposition

Our architects use event-storming and bounded-context mapping to identify the correct service boundaries in your domain, producing microservice architectures that are stable, independently deployable, and aligned with your team structure.

03

Incremental Migration - No Big Bangs

We use the strangler fig pattern, feature flags, and blue-green deployments to migrate production systems incrementally, eliminating the risk of extended downtime and allowing rollback at every stage.

04

Risk-Managed at Every Stage

Each migration increment is preceded by a risk assessment that identifies data integrity, performance, and availability risks and defines mitigation actions and rollback procedures before work begins.

05

DevOps and Observability Built In

Modernisation engagements include full CI/CD pipeline construction, infrastructure-as-code, and observability stack deployment so the modernised application is fully operable from day one of production cutover.

06

Compliance and Governance Continuity

We map every regulatory obligation from the legacy system to the target architecture before migration begins, ensuring that data residency, audit logging, and access control requirements are satisfied at every stage of the transition.

Challenges

Common Enterprise Pain Points

01

Tight Data Coupling Across Modules

Legacy monoliths frequently share a single database schema across hundreds of modules, making clean service extraction appear impossible. We specialise in database decomposition techniques - including shared database patterns, database per service migration, and event-sourcing for data ownership transfer - that resolve coupling without requiring a full rewrite.

02

Knowledge Loss From System Age

Applications built over ten to twenty years often have no surviving engineers who understand the original design intent, and documentation is absent or incorrect. Our reverse-engineering capability uses static analysis, runtime instrumentation, and stakeholder interviews to reconstruct a domain model that safely guides the migration.

03

Integration Dependency Proliferation

Enterprise monoliths accumulate hundreds of point-to-point integrations with other internal and external systems over their lifetime. We conduct integration mapping and introduce an event-driven integration layer or API gateway before decomposition begins, preventing integration chaos during service extraction.

04

Inadequate Test Coverage

Systems with low automated test coverage cannot be safely refactored because there is no reliable way to confirm that behaviour has been preserved. Our pre-migration work includes characterisation testing to establish a safety net of tests that document current behaviour, giving engineers confidence to make structural changes.

05

Organisational Resistance to Change

Application modernisation programmes frequently stall not because of technical challenges but because of organisational inertia - teams accustomed to the current architecture resist the process changes that microservices require. We include change management, team topology consulting, and developer enablement workshops as integral components of every engagement.

Our Approach

A Structured, Incremental Modernisation Programme That Delivers Value at Every Stage

Our application modernisation methodology combines rigorous upfront assessment with incremental delivery to ensure that every sprint of the programme produces a usable, production-ready outcome. We do not require a programme completion date before you see value - each extraction, re-platform, or containerisation increment delivers independently deployable capabilities that reduce operational risk and increase business velocity from the moment they are released.

01

Application Portfolio Assessment

A structured evaluation of your entire application portfolio producing a risk-scored modernisation roadmap with ROI projections, sequencing recommendations, and a total cost of ownership comparison between maintaining the status quo and modernising each application.

02

Architecture Design and Decomposition Planning

Domain-driven design workshops, bounded context mapping, and architecture decision record production that define the target microservices architecture and the incremental extraction sequence before implementation begins.

03

Incremental Migration Delivery

Phased delivery of migration increments using the strangler fig pattern, blue-green deployments, and feature flags to maintain production continuity while progressively replacing legacy components with modernised equivalents.

04

DevOps, Observability, and Knowledge Transfer

Concurrent construction of CI/CD pipelines, infrastructure-as-code, and observability infrastructure, with structured knowledge transfer sessions that leave client engineering teams fully capable of operating and extending the modernised application.

Delivery Models

How We Deliver

Assessment and Roadmap

A focused discovery engagement that produces a prioritised modernisation roadmap, risk register, and investment case without committing to a full delivery programme.

Timeline
4-6 weeks
Team Size
2-3 architects
Managed Modernisation Programme

A fully managed end-to-end programme with a dedicated delivery team responsible for architecture, migration, DevOps, and knowledge transfer throughout the engagement.

Timeline
12-36 weeks
Team Size
4-10 engineers
Embedded Modernisation Squad

A specialist modernisation team embedded alongside your existing engineering organisation, accelerating internal capability while delivering migration increments.

Timeline
8-24 weeks
Team Size
3-6 engineers

Capabilities

Technical Capability Matrix

Architecture Patterns
Monolith-to-Microservices
Strangler Fig Pattern
Event-Driven Architecture
CQRS and Event Sourcing
API Gateway Design
Cloud Re-Platforming
AWS Re-Platforming
Azure Migration
Google Cloud Adoption
Multi-Cloud Architecture
Serverless Migration
Containerisation and Orchestration
Docker Containerisation
Kubernetes Deployment
Helm Chart Authoring
Service Mesh Implementation
Container Security Hardening
Database Modernisation
Schema Decomposition
Change-Data-Capture Pipelines
NoSQL Migration
Cloud-Managed Database Adoption
Zero-Downtime Cutover
DevOps and Observability
CI/CD Pipeline Construction
Infrastructure as Code
Distributed Tracing
Centralised Logging
SLO and Alerting Design
Technology Stack
KubernetesDockerTerraformAWSAzureGoogle CloudKafkaReactNode.jsPostgreSQLMongoDBIstio
Industries Served
Financial ServicesInsuranceHealthcareRetail and E-CommerceTelecommunicationsManufacturingGovernment and Public SectorLogistics and Supply Chain

Engagement Models

How We Engage

Choose the model that fits your programme governance, budget cycle, and team structure.

Staff Augmentation

Engineers embed directly under your management.

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Dedicated Developers

Full-time team aligned to your product roadmap.

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Managed Teams

End-to-end delivery with SLA-backed outcomes.

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Engineering Pods

Autonomous cross-functional pods per domain.

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Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

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Build-Operate-Transfer

We build and run it. You take ownership on schedule.

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Our Process

From Discovery to Delivery

1

Portfolio Discovery

Week 1

We inventory your application portfolio, conduct stakeholder interviews, and run automated code analysis to produce a baseline assessment of each system's modernisation complexity, business value, and risk profile.

2

Architecture Design

Weeks 2-3

Domain-driven design workshops and bounded context mapping produce the target microservices architecture, integration strategy, and data ownership model. Architecture decision records are produced for all major design choices.

3

Migration Roadmap and Risk Register

Week 4

A sequenced, phased migration roadmap is produced with effort estimates, dependency mapping, rollback procedures, and success criteria for each increment. The risk register identifies and mitigates all identified programme risks.

4

Incremental Migration Delivery

Weeks 5 onward

Delivery squads execute migration increments in two-week sprints, with each increment producing a production-ready, deployable output. Blue-green deployments and feature flags maintain production continuity throughout.

5

Stabilisation and Knowledge Transfer

Final 4 weeks

A structured stabilisation period validates performance, reliability, and compliance of the modernised application under real production load. Knowledge transfer sessions ensure client teams are fully capable of independent operation.

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Security & Compliance

Enterprise-Grade Security by Default

ISO 27001 CertifiedSOC 2 Type II ReadyGDPR CompliantDPDP Act ReadyNDA on Day 1MSA AvailableIP Assignment ClausesEscrow Options

Governance

Programme Governance

Architecture Review Board

A weekly architecture review board includes client technical leadership and our solution architects, reviewing all significant design decisions and ensuring alignment with the agreed target architecture throughout the programme.

Risk and Issue Management

A live risk register is maintained and reviewed at each programme governance checkpoint, with every identified risk tracked through to resolution or acceptance with documented mitigations.

Compliance Traceability Matrix

For regulated industries, a compliance traceability matrix maps every regulatory obligation to its implementation in the target architecture, providing audit evidence for internal and external compliance reviews.

Increment Acceptance Criteria

Each migration increment has documented acceptance criteria covering functional correctness, performance benchmarks, security scanning results, and observability coverage that must be satisfied before production promotion.

Team Structure

Your Enterprise Team

Our application modernisation teams are assembled from specialists with deep experience in both legacy system archaeology and modern cloud-native engineering. Each team is structured to cover the full technical stack required for a modernisation programme - from architecture design through delivery and DevOps - so that no capability gap blocks the programme at any stage.

Solution Architect
Domain-Driven Design Specialist
Senior Back-End Engineer
Database Migration Specialist
DevOps and Platform Engineer
Front-End Modernisation Engineer
QA and Test Automation Engineer
Delivery Manager

Project Lifecycle

From Kickoff to Production

Phase 01

Discovery and Assessment

3-4 weeks

Application portfolio analysis, modernisation scoring matrix, dependency maps, total cost of ownership comparison, preliminary risk register.

Phase 02

Architecture and Design

2-4 weeks

Target architecture documentation, bounded context map, data ownership model, integration strategy, architecture decision records, sequenced migration roadmap.

Phase 03

Foundation Sprint

2-3 weeks

CI/CD pipeline, infrastructure-as-code templates, container registry, observability stack, staging environment, characterisation test suite.

Phase 04

Incremental Migration

8-28 weeks

Production-deployed microservices or re-platformed modules, updated integration layer, database migration scripts, updated runbooks, increment completion reports.

Phase 05

Stabilisation and Handover

Ongoing

Performance validation report, compliance traceability matrix, operations runbooks, knowledge transfer completion, technical debt backlog, programme completion report.

Case Studies

Enterprise Outcomes

Financial Services

A retail bank needed to decompose a fifteen-year-old monolithic core banking application to enable faster product launches and reduce infrastructure costs.

We applied domain-driven design to identify eight bounded contexts and used the strangler fig pattern to extract each as an independent microservice over eighteen months, with zero planned downtime during migration.

65%reduction in new product time-to-market
Healthcare

A hospital network was operating patient record software on end-of-life infrastructure with growing compliance risk and no path to cloud adoption under the existing architecture.

We re-platformed the application to a containerised Kubernetes deployment on a HIPAA-compliant cloud environment, modernising the database tier with zero-downtime cutover and delivering a new responsive UI.

$2.4Mannual infrastructure cost reduction
Retail and E-Commerce

A national retailer's monolithic e-commerce platform could not scale to handle peak season traffic without costly over-provisioning across the entire application.

We decomposed the product catalogue, inventory, and checkout services into independently scalable microservices, enabling targeted auto-scaling that absorbed peak traffic without full-system over-provisioning.

4xpeak traffic handled without cost increase
Industries
Financial ServicesHealthcareRetail and E-CommerceTelecommunicationsGovernment and Public Sector

FAQ

Frequently Asked Questions

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