Modernize applications for faster, smarter
business operations

Legacy application modernization is the process of improving outdated applications by refactoring code, updating architecture, modernizing integrations, migrating to cloud platforms, or rebuilding selected components without disrupting daily operations.

Yes. Deployed provides legacy system modernization services for applications, databases, integrations, workflows, and infrastructure. We help assess what should be refactored, replatformed, rearchitected, replaced, or migrated based on business value and risk.

Yes. Deployed can support mainframe modernization by assessing legacy systems, business logic, dependencies, data flows, integration needs, and migration options. This may include phased migration, API enablement, code conversion, or replatforming depending on the system.

Yes. Deployed can help assess and modernize COBOL/VB6 applications by analyzing legacy code, documenting business logic, identifying dependencies, and planning a low-risk modernization path using refactoring, migration, or GenAI-assisted code conversion where appropriate.

Monolith to microservices modernization breaks a large, tightly connected application into smaller services that are easier to scale, maintain, deploy, and improve. Deployed can use incremental approaches such as the strangler fig pattern to reduce migration risk.

Yes. Our code refactoring services help improve maintainability, performance, security, and scalability without fully rebuilding the application. Refactoring is often used to reduce technical debt and prepare applications for cloud-native rearchitecture or AI-enabled workflows.

.NET application modernization helps businesses upgrade older .NET applications, improve architecture, update frameworks, modernize APIs, improve security, migrate workloads, and prepare applications for cloud, containers, microservices, and modern DevOps practices.

Replatforming services move applications to a modern runtime, cloud platform, container environment, or managed infrastructure with limited changes to core functionality. It is often a faster, lower-risk option than a full rebuild.

Legacy software migration moves applications, data, integrations, or infrastructure from outdated systems to modern platforms. Deployed plans migration in controlled phases to reduce downtime, protect business continuity, and support cost-reducing modernization.

AI can accelerate modernization by supporting code analysis, dependency mapping, documentation review, automated code translation, test generation, and GenAI-assisted code conversion. Human engineering oversight is still used to validate quality, security, and business logic.

Cloud-native rearchitecture redesigns applications to use modern cloud patterns such as microservices, containers, APIs, managed services, observability, and automated deployment pipelines. It helps applications become more scalable, resilient, and easier to maintain.

It can be when done incrementally. Deployed uses phased modernization, risk assessment, dependency mapping, refactoring, replatforming, and controlled release planning so businesses can modernize applications without disrupting daily operations.

Deployed starts with an application modernization assessment to review legacy systems, technical debt, business workflows, integrations, AI-readiness gaps, and operational impact. The output is a prioritized roadmap showing what to fix, migrate, refactor, or replatform first.