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Webinar: Release days shouldn't be stressful — solving the blast-radius problem Register Now →·
Webinar: Release days shouldn't be stressful — solving the blast-radius problem Register Now →·
Webinar: Release days shouldn't be stressful — solving the blast-radius problem Register Now →·
Webinar: Release days shouldn't be stressful — solving the blast-radius problem Register Now →·
Migrate & Modernize

Turn Aging Apps Into an Edge

Your monolith has not shipped a feature in weeks, and your best engineers are stuck maintaining code nobody wants to touch. We break legacy applications into cloud native services, clear the technical debt, and leave you an estate you can add AI to. Releases go from a nervous event to a daily habit.

Key Benefits

Your Team Stops Firefighting and Starts Shipping

Stop Paying Engineers to Maintain the Past

Your team loses a third of every sprint to legacy code. Modernization hands that time back to shipping features.

Make Release Day a Non-Event

Microservices and automated pipelines turn risky deployments into daily releases with no downtime.

Cut the Cost of Running Bloated Apps

Right sizing to containers and serverless drops infrastructure cost by 40 to 60 percent, visible in month one.

Build on an Estate Ready for AI

A modern, decoupled application is where AI features and automation can actually be added. Legacy blocks both.

Proof Points
4xFaster release velocity after modernization
40–60%Lower infrastructure cost
50+Monoliths broken into microservices
How It Works

How We Break the Monolith Without Breaking Production

  1. 01

    Find what is slowing you down

    An assessment scores every app on business value, dependencies, and tech debt, with AI speeding the analysis, so the right app goes first.

  2. 02

    Decide refactor, replatform, or retire

    Each workload gets the right strategy based on cost, dependencies, and value. No politics, no guesswork.

  3. 03

    Break the monolith safely

    Proven patterns like Strangler Fig extract services one at a time, with no downtime and automatic rollback.

  4. 04

    Containerize and automate

    Move to containers and fully automated pipelines, so the manual steps that cause most incidents disappear.

  5. 05

    Modernize the data layer with it

    The database moves in parallel, so you are not left with a legacy store under a modern app.

  6. 06

    Hand back real observability

    Tracing and smart alerting mean your team wakes for real incidents, not noise.

What We Modernize

Four Layers, One Modern Estate

Applications

Monolith to microservices, serverless APIs, event driven architecture, modern stacks.

Data

Managed and open source databases, purpose built stores, real time streaming.

Security

DevSecOps in the pipeline, short lived credentials, data masking, compliance controls.

Operations

Infrastructure as code, auto scaling, self healing, central observability.

Technology and Tools

What We Build On

Works across the major clouds. AWS shown as our primary practice.

Containers and Serverless

EKS, ECS Fargate, Lambda, API Gateway.

CI/CD and DevSecOps

CodePipeline, GitHub Actions, ArgoCD, Terraform, SAST and DAST toolchains.

Data Layer

RDS, Aurora, DynamoDB, Kinesis.

Ready for AI

Bedrock and SageMaker, for teams adding intelligence on top of modernized apps.

Industries

Industries and Scenarios We Serve

NBFC and Financial Services

Legacy loan systems blocking scale. Microservices and managed databases enabled weekly releases and full uptime through audits.

Insurance and Enterprise

A monolith policy platform capped growth. Containerized services turned a three week cycle into daily deploys and supported ten times the applications.

Gaming and High Concurrency

A scaling ceiling forced downtime on every release. Refactoring and blue green pipelines scaled daily users from 15M to 51M with no visible outage.

Fintech and Regulated Startups

Analytics could not keep pace. Full modernization to containers and a lakehouse delivered an AI ready stack in under 60 days.

Case Studies

Proof, Not Promises

Tata AIG
DailyDeployments

A tightly coupled policy monolith rebuilt into containerized microservices, with daily deployments and IRDAI compliance built into the architecture.

Ludo King
15M → 51MDaily active users

Refactored for scale with blue green pipelines. Daily active users grew from 15M to 51M with no forced downtime.

Godrej Capital
80%Faster onboarding

Managed databases and modern DevSecOps, with KYC automated using AI on Bedrock, cutting onboarding time by 80 percent.

What's Next

Where This Fits in Your Journey

Database Modernization

A modern app on a legacy database is only half done. Modernize the data layer to finish the job.

Now Modernize Your Database

Data and Agentic AI

With apps decoupled, add analytics, automation, and AI on top.

Explore Data & AI
Get Started

Four Years of Monolith. Sixteen Weeks to Microservices.

Book a free assessment. We map your app estate, score the tech debt, and hand back a prioritized plan to refactor, replatform, or retire, in days.

AWS Advanced Consulting Partner · 100+ migrations · 96.5% retention