Migrating Monoliths to Microservices with AI in C#

The Problem: 'Legacy' Code and Technical Debt

Integrating modern functionalities (such as Artificial Intelligence, 3D processing, or massive scaling) into a legacy monolithic backend is a high-risk task.

When business logic, data access, and the interface are tightly coupled (spaghetti code), any minor change generates catastrophic side effects. Technical debt paralyzes development teams, slows down business innovation, and prevents the adoption of Cloud-Native architectures.

My Solution: Monolith Strangling and Clean Architecture

I use the Strangler Fig pattern and principles of Domain-Driven Design (DDD) to incrementally and safely dismantle legacy monoliths without interrupting production service.

I migrate critical logic from traditional N-Tier architectures to Clean Architecture or Hexagonal in modern .NET (C#). This isolation creates clean boundaries that allow injecting new AI or 3D capabilities as completely decoupled, testable, and elastic services.

Technical Approach

Safe Refactoring: Massive inclusion of unit and integration tests on legacy code before moving a single line of core logic.
Database Decoupling: Designing strategies to separate shared databases, moving to a database per microservice and using event-based synchronization (Eventual Consistency).
Enterprise-Grade AI Injection: By isolating the domain, the system is prepared to orchestrate LLM microservices, without their probabilistic failures affecting the deterministic core of billing or user control.

Use Cases

Modernizing Legacy ERP/SaaS: Taking a .NET Framework 4.x or early Core monolith and gradually porting it to .NET 8 with containerized microservices (Docker/Kubernetes).
Deploying New Features in Isolation: Creating a modern Artificial Intelligence microservice that reads data from the legacy monolith safely (via APIs or queues) without altering the old fragile code.

Next Steps

If your team spends more time fixing bugs due to broken dependencies than adding value, or if the current structure does not support AI requirements, it is time to refactor with a surgical approach.

Schedule an initial technical consultation to map out the roadmap for migrating your monolith.