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.
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.
The Reality
Why Hasn't the Monolith Shipped a Feature?
Your best engineers are maintaining code nobody wants to touch, and the roadmap is waiting on them.
Release day is a fire drill
Weeks of change go out together, so every deploy needs a war room and a rollback plan.
Engineers maintain the past
The most experienced people spend their time keeping a legacy app alive instead of building.
One change breaks three modules
Tightly coupled code means a fix in billing shows up as an outage in onboarding.
Bloated apps cost more to run
Oversized servers and always-on capacity carry the monolith's inefficiency into the cloud.
Scale means a bigger server
With no way to scale a single component, peak load means paying for the whole application to grow.
AI can't plug into it
Agents and models need APIs and clean data, and the legacy estate exposes neither.
Key Benefits
Your Team Stops Firefighting and Starts Shipping
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
- 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.
- 02
Decide refactor, replatform, or retire
Each workload gets the right strategy based on cost, dependencies, and value. No politics, no guesswork.
- 03
Break the monolith safely
Proven patterns like Strangler Fig extract services one at a time, with no downtime and automatic rollback.
- 04
Containerize and automate
Move to containers and fully automated pipelines, so the manual steps that cause most incidents disappear.
- 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.
- 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.
Delivery Accelerator · ChangeSafe
Know What a Change Will Break Before It Ships
ChangeSafe AI maps your codebase into a live dependency graph, so every release, refactor and security fix is reviewed against what it actually touches, before it reaches production.
Case Studies
View All Case StudiesWhere Application Modernization Makes a Difference
NBFC and Financial Services
Legacy loan systems blocking scale. Microservices and managed databases enabled weekly releases and full uptime through audits.
Godrej Capital
80%Faster onboarding
Managed databases and modern DevSecOps, with KYC automated using AI on Bedrock, cutting onboarding time by 80 percent.
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.
Tata AIG
DailyDeployments
A tightly coupled policy monolith rebuilt into containerized microservices, with daily deployments and IRDAI compliance built into the architecture.
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.
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.
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.
What's Next
Where This Fits in Your Journey
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Migration Factory
Move the right workloads, predictably and without downtime.
Explore Migration FactoryApplication and Database Modernization
Clear the application and database debt that migration alone does not solve.
Database Modernization
Cut licence and maintenance cost and get the data ready for analytics and AI.
Explore Database ModernizationData and AI
Put the modernized estate to work with analytics and AI.
Explore Data and AIGet 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
- 200+ migrations
- 96.5% retention