Enterprise · Cloud · Case Study — Legacy Modernization & Digital Transformation

Enterprise Modernization for Faster Delivery and Scalable Growth

Re-architecting legacy systems into cloud-native, component-based and future-proof digital platforms — achieving 3x faster releases, 80% better scalability, and 60% lower maintenance costs.

Microservices ArchitectureCloud-Native MigrationDevOps CI/CDAPI IntegrationLegacy Modernization
Client
Multinational Enterprise · US / SEA / India
Domain
Healthcare · Finance · Digital
Model
End-to-End Enterprise Modernization
Disciplines
Microservices · Cloud · DevOps · API
60%
Reduction in application maintenance costs
3x
Acceleration in release cycles
80%
Increase in system scalability and performance
Overview

A legacy enterprise rebuilt for speed, scale, and innovation

Our client is a multinational company with offices across the US, Southeast Asia, and India — with a 150+ engineering team serving 20+ clients across healthcare, finance, and digital services. Working with outdated systems that hindered agility and innovation, the business required a modern, integrated platform that could support new digital initiatives and deliver seamless customer experiences at scale.

10decoders executed an end-to-end modernization blueprint — refactoring monolithic applications into microservices, migrating to cloud-native infrastructure, implementing DevOps automation, and building a modern API integration layer. The result: 60% lower maintenance costs, 3x faster release cycles, and 80% better system scalability.

The Modernization Blueprint

How we re-architected the enterprise

Architecture

Microservices Decomposition

Refactored monolithic applications into modular, independently deployable microservices — enabling granular scaling, faster build times, and elimination of tightly-coupled technical debt.

Cloud

Cloud-Native Migration

Migrated legacy workloads to a cloud-native environment — enabling elastic scaling, reducing infrastructure management overhead, and significantly improving cost efficiency.

DevOps

Automated CI/CD Pipelines

Modern DevOps pipelines with automated CI/CD deliver 3x faster release cycles — giving engineering teams the confidence to ship faster with quality gates at every stage.

Integration

API & Real-Time Data Layer

Modern API integrations and real-time data platforms enable plug-in ecosystem connectivity, improved security and privacy compliance, and enhanced UX with modern UI frameworks.

Performance

Scalability Engineering

Cloud-native foundations and distributed architecture drove an 80% improvement in system scalability — supporting business growth across all units without performance degradation.

Cost Optimization

Operational Cost Reduction

Modular architecture and cloud adoption eliminated legacy upkeep burden — cutting ongoing maintenance and operational costs by 60% across the enterprise.

Challenge & Approach

The Problem, and How We Solved It

An enterprise under pressure — from aging monoliths, spiraling maintenance costs, and an architecture too rigid to support cloud adoption or modern integrations.

The Challenge

  • Aging monolithic applications accumulated technical debt, hindered product innovation, and prevented new features from being launched at any reasonable pace
  • Outdated, complex systems resulted in higher downtime, security risks, and continuously rising maintenance and operational costs
  • Rigid architecture made it impossible to adopt modern technologies, enable real-time data access, or integrate new tools and ecosystem partners

Our Approach

  • Refactored monolithic applications into modular microservices — eliminating technical debt, enabling independent scaling, and accelerating feature delivery
  • Migrated workloads to cloud-native infrastructure and implemented DevOps CI/CD — delivering 3x faster releases and 60% lower maintenance costs
  • Built modern API integrations and real-time data platforms — enabling ecosystem connectivity, compliance, and enhanced UX across all business units
The Approach

The Solution

10decoders executed a comprehensive, end-to-end modernization initiative — touching application architecture, cloud infrastructure, deployment automation, and integration capability across four coordinated workstreams.

Microservices Refactoring

Legacy monolith decomposed into modular, independently deployable microservices — enabling greater scalability, faster build times, and elimination of tightly-coupled technical debt.

Cloud-Native Workload Migration

Migrated workloads to cloud-native environment — enabling elastic scaling, reducing infrastructure management effort, and driving significant improvements in cost efficiency.

Modern DevOps Pipelines

Automated CI/CD pipelines with quality gates at every stage — delivering 3x faster release cycles, reducing deployment risk, and giving engineering teams the confidence to ship continuously.

API Integrations & Real-Time Data Platform

Modern API integrations enabling plug-in ecosystem connectivity, improved privacy and security compliance, and enhanced UX with modern UI frameworks across all customer touchpoints.

How It Fits Together

From legacy constraints to a cloud-native, scalable platform.

Microservices, cloud migration, DevOps automation, and API integration — all connected into a modern enterprise platform built for rapid delivery and sustained growth.

Legacy State

Legacy Monolithic Enterprise

Aging monoliths, technical debt, high maintenance costs, manual deployments, and rigid architecture blocking cloud adoption and innovation.

Modernization

10decoders End-to-End Modernization

Microservices refactoring, cloud-native migration, DevOps CI/CD pipelines, and modern API integrations — delivered as a coordinated blueprint.

Modern Platform

Cloud-Native Scalable Platform

60% lower costs, 3x faster releases, 80% better scalability — agile, integrated, and built for continuous innovation across all business units.

Why It Works

Speed, scale, and efficiency — by design

Every architectural decision was made to maximize delivery velocity, operational efficiency, and long-term scalability — without disrupting live business operations.

Cost

60% Lower Maintenance Costs

Cloud adoption and modular microservices architecture eliminated legacy upkeep burden — cutting maintenance and operational costs by 60% across the enterprise.

CloudMicroservices
Velocity

3x Faster Release Cycles

CI/CD automation and microservices decoupling drove 3x faster time-to-market — enabling rapid feature delivery with quality and deployment confidence.

CI/CDDevOps
Scale

80% Better System Scalability

Cloud-native foundations and distributed architecture support business growth across all units — with 80% improvement in scalability and zero performance degradation.

Cloud-NativeElastic Scaling
Architecture

Modular Microservices

Independent, loosely coupled services enable faster builds, easier maintenance, and granular scalability — eliminating the tightly-coupled debt of legacy monoliths.

ModularDecoupled
Integration

API-First Connectivity

Modern API integrations enable real-time data access, plug-in ecosystem connectivity, and improved security and privacy compliance across all touchpoints.

API-FirstReal-Time Data
Reliability

DevOps-Driven Quality

Automated CI/CD pipelines with built-in quality gates reduce deployment risk and human error — delivering consistent, high-quality releases at speed.

AutomationQuality Gates
The Deliverables

What We Built

01

Microservices Modernization

Legacy monolith refactored into modular, independently deployable microservices — enabling granular scaling, faster builds, and reduced technical debt.

02

Cloud-Native Migration

Workloads migrated to cloud-native environment with elastic scaling, reduced infrastructure overhead, and significant improvement in cost efficiency.

03

CI/CD DevOps Pipeline

Automated deployment pipelines with quality gates delivering 3x faster release cycles — reducing deployment risk and enabling continuous delivery with confidence.

04

API & Real-Time Data Platform

Modern API integrations and real-time data pipelines enabling plug-in ecosystem connectivity, improved compliance, and enhanced UX with modern UI frameworks.

The Shift

What Changed

1

Application Architecture

Monolithic, tightly-coupled legacy systems → Modular microservices enabling independent scaling, faster builds, and elimination of technical debt.

2

Release Velocity

Slow, error-prone manual deployments → CI/CD-automated pipelines delivering 3x faster release cycles with built-in quality and deployment confidence.

3

Infrastructure Model

On-premise legacy infrastructure with high overhead → Cloud-native environment with elastic scaling, reduced management effort, and 60% lower operational costs.

4

Integration Capability

Rigid architecture blocking tool and ecosystem adoption → Modern API integrations enabling real-time data access and seamless partner connectivity.

5

Maintenance Costs

High ongoing costs from complex legacy systems with frequent downtime → Cloud and modular architecture cutting maintenance and operational costs by 60%.

6

Business Scalability

Systems unable to support growth without performance degradation → Cloud-native foundations driving 80% improvement in scalability across all business units.

The Outcome

Impact Across the Organization

Finance & Operations

60% Lower Maintenance Costs

Cloud adoption and modular architecture significantly reduced ongoing system upkeep — cutting maintenance and operational costs by 60% across the enterprise.

Engineering & Delivery

3x Faster Release Cycles

DevOps automation and microservices decoupling enabled 3x faster time-to-market — allowing engineering teams to ship new features rapidly with confidence.

Business & Growth

80% Better Scalability

Cloud-native foundations allow the enterprise to support growth across all business units — with 80% improvement in system scalability and sustained performance.

Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001
Partner Program

Love what we're doing? Want to partner and sell our products or services?

Explore partner programs →

Send us an inquiry

Three fields. We'll reply within one business day.