Application Modernization
Transform legacy into leverage
Legacy systems built for stability now stand in the way of agility. At Entrans, we don’t just modernize applications — we re-engineer their purpose. Our modernization approach combines platform engineering, cloud-native design, and data-driven intelligence to transform legacy landscapes into scalable, secure, and AI-ready ecosystems.
Why Enterprises Modernize (and Why It’s Hard)
The problem isn’t old code — it’s outdated architecture, siloed data, and brittle integrations that can’t keep up with business velocity. We help organizations evolve from technical debt to technical advantage by modernizing what matters, when it matters, and how it aligns with business value.
Our Modernization Approach
Discovery & Assessment
Before any rewrite, we listen to the system.
Legacy application audit and dependency mapping
Technical debt scoring and modernization ROI analysis
Cloud readiness and architecture evaluation
Identified 45% redundant workflows for a global insurer, reducing modernization scope and cost by one-third.
Modern Architecture Design
We define a modernization blueprint rooted in business outcomes.
Microservices and API-first architectures
Event-driven and domain-driven design
Containerization and serverless enablement
Reduced batch-processing time by 70% through distributed compute design.
Replatforming & Refactoring
Rebuild only what drives value.
Cloud migration (AWS, Azure, GCP) using IaC for consistency
Refactoring monoliths into modular services
Data layer modernization with real-time streaming pipelines
Migrated 200+ applications to cloud, achieving 50% lower TCO and zero downtime.
Automation & Governance
Modernization is only as strong as its repeatability.
CI/CD automation for builds, tests, and deployments
API lifecycle management and version control
Observability, cost optimization, and compliance baked in
Cut release cycles from quarterly to weekly through automated governance.
Our Differentiator
We go beyond implementation to build resilient, AI-ready systems that deliver measurable business impact at every stage.
Incremental Transformation
Phased modernization minimizing risk and disruption.
Outcome Engineering
Each milestone tied to measurable business KPIs.
AI-Ready Foundation
Architectures designed for AI/ML integration and analytics enablement.
Security by Default
DevSecOps and compliance frameworks embedded from day one.

Key Technologies We Work With

Hire modernization and cloud engineering experts from Entrans who specialize in transforming legacy systems into agile, scalable, and AI-ready platforms. Our teams leverage cloud-native architectures, DevOps automation, and data modernization frameworks to rebuild applications that deliver performance, resilience, and continuous business value.

Cloud Platforms
AWS | Azure | GCP
Application Layer
Java | .NET | Node.js | Spring Boot | Python
Data Modernization
Snowflake | Redshift | BigQuery | Databricks
Infrastructure & IaC
Terraform | CloudFormation | Kubernetes | Docker
Monitoring
Prometheus | Datadog | Grafana
Use Cases & Industry Impact
Banking & Financial Services
Core loan origination modernization with real-time transaction systems and compliance upgrades resulting in 45% faster processing time.
Healthcare
Claims and eligibility modernization with secure EHR integration and interoperability standards delivering 30% cost reduction.
Retail
Order management and API re-architecture with scalable commerce engine upgrades achieving 60% faster time-to-market.
Hi-Tech & SaaS
Cloud-native refactor of legacy applications with multi-tenant, cloud-ready architecture ensuring 99.9% uptime and reduced infrastructure costs.
Results You Can Expect
Cloud Migration
50% reduction in infrastructure costs
API-Driven Modernization
70% faster integration cycles
Architecture Refactoring
99.9% uptime and lower tech debt
Automation & Governance
3× faster release frequency