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Application Refactoring

Application Refactoring: Re-architect. Containerize. Scale.

Monoliths slow you down. Datafyze transforms legacy applications into modular, cloud-native architectures—breaking code into microservices, containerizing components, and embracing serverless design to deliver unmatched scalability and maintainability.
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Key Capabilities

Cloud-Native Architecture

Cloud-Native Architecture

Redesign applications for elasticity, resilience, and seamless integration with cloud services.

Containerization Strategy

Package and deploy services in containers (Docker, Kubernetes) to ensure consistent environments and rapid scaling.

Low-Risk Transition Paths

Legacy Code Modernization

Refactor outdated languages and frameworks, update dependencies, and embed best-practice design patterns.

Data Predictive Modeling

Microservices Transformation

Decompose monolithic codebases into independent services for faster deployments and fault isolation.

Code & Database Optimization

Serverless Modernization

Leverage Functions-as-a-Service for event-driven workloads and cost-efficient execution.

Proven Outcomes

25% revenue increase through targeted predictive campaigns

70% faster feature releases with microservices.

35% improvement in operational efficiency via prescriptive analytics

50% reduction in infrastructure costs via serverless components.

FinTech company- Achieved SOC 2 Type II readiness in 90 days

99.9% uptime through resilient, containerized deployments.

FAQs

What is application refactoring?
Application refactoring is the process of restructuring legacy code into modern, modular architectures—such as microservices or serverless—to improve scalability, maintainability, and performance.
We use a strangler pattern to gradually replace legacy components with new services, conduct comprehensive testing, and deploy in phases—ensuring uninterrupted operation throughout the transformation.
Yes. Our engineers have expertise across Java, .NET, Python, and more. We analyze your stack, design an optimal modernization path, and migrate functionality without losing critical features.