.NET Framework to .NET 6+ Migration Services

Rebuild your foundation, without rewriting your history. 

.NET Framework limits you to Windows hosting, while .NET 6+ runs seamlessly across Windows, Linux, and macOS. We help teams convert ASP to .NET 6+ using a smart, AI-supported modernization method that preserves business logic and security integrity. This way, we keep your business logic safe while we improve performance, scale, and security.

We extract architecture, logic, and library usage, including patterns like topshelf C# used for hosting long-running processes.

What we deliver:

• Legacy system audit. We perform a full semantic and architectural audit, static analyzers, and runtime traces. We assess Windows-locked modules, high-risk areas, and .NET standard compatibility gaps before a single line of code moves.
• Strategic migration planning. We define a modular roadmap for each upgrade microsoft .NET framework initiative, specifying what to migrate, refactor, or replace with precision.
• SDK-style conversion. Using the .NET migration assistant, we rebuild project files, replace deprecated namespaces, and remove obsolete logic.
• Modern architecture enablement. We evolve monoliths into modular monoliths or microservices with clear bounded contexts. Legacy frameworks are replaced with modern equivalents, aligned with your current product design.
• Cross-platform deployment. We update .NET runtime environments to support self-contained deployment, side-by-side hosting, and full CI/CD automation.

Outcome: your business intent, preserved and accelerated. We transform .NET legacy into a clean, modular system your engineers can scale, extend, and be proud to own.

Every mature product carries its history inside its code, which is why teams choose to upgrade .NET framework to .NET 8 and rebuild performance from the inside out.. Years of quick fixes, merged layers, and business logic scattered across services create invisible friction. From a tangled code to a lean architecture with clear boundaries and minimal overhead.

We drive structural improvements through deep .NET refactoring, converting legacy logic into modular, testable units. We use semantic dependency mapping and guided analysis to restore order. This helps us evolve into a modular architecture driven by runtime signals and SLOs.

What we deliver:

• Architecture mapping. We create a living architectural model — every module, call path, and shared dependency visualized. AI models track logic flow through layers. They identify cross-coupling that hinders scalability or breaks domain boundaries.
• Domain-driven decomposition. We map natural business domains and carve them into bounded contexts. Each context gains clear ownership, APIs, and data contracts. This changes a fragile monolith into a strong ecosystem of modules or microservices.
• Hybrid architectural strategy. We design pragmatic architectures — modular monolith, where it’s efficient, and distributed services where it’s essential. Async messaging, event buses, and API gateways are introduced only where they deliver measurable gain.
• Schema ownership. We use modular monoliths for efficiency and distributed services when needed. Async messaging, event buses, and API gateways are introduced only where they deliver measurable gain.
• Migration flow. We build a modular, slice-based roadmap aligned with .NET framework migration best practices, identifying which parts to migrate, refactor, or replace.

Architecture refactoring is about restoring intent. We structure your system to reflect your business. This allows for quick changes, simultaneous workflows, and reliable growth. It’s the base for all future innovations.

Prove every change before it reaches production. Legacy systems rarely come with working tests.

Over years of releases, documentation fades, regression suites rot, and “tested in prod” becomes the only truth left. When modernization begins, no one can tell if a fix breaks the behavior that users rely on. Manual test creation would take months — and still miss the edge cases hidden in live data.

We validate that the new system behaves exactly like the old one under real workloads — input for input, decision for decision.

What we deliver:

• Runtime trace capture. We instrument your existing environment to collect live requests, database queries, and user paths. Each trace is semantically mapped during the process to convert a .NET Framework project to .NET 6, correlating inputs, outputs, and state transitions across modules.
• AI-generated test suites. We generate AI-driven test suites and validate behavior parity, rebuilding real-world test coverage and proving that every modernized component performs exactly like the original before release.
• Regression baselines. Generated tests from dynamic baselines for future changes. Pipelines automatically re-run and adapt them when code evolves, maintaining living validation through every iteration.
• Behavioral equivalence testing. From repeated runs, we derive statistical behavioral signatures, identifying acceptable variations (like timestamps or IDs) while isolating functional mismatches. These signatures become automated regression benchmarks for ongoing validation.
• Impact analytics. During the steps to migrate .NET Framework to .NET 6, AI models monitor runtime metrics and test outcomes, flagging anomalies in logic flow early.

Code can change — logic can’t. Our AI Solution Accelerator™ approach ensures that what made your system valuable stays intact through modernization. We don’t just test the new code — we prove that it behaves like the system your business already trusts, only faster, cleaner, and ready for continuous evolution. 

Many issues when migrating .NET framework to .NET 6 stem from legacy hosting that blocks cloud-native observability and data-centric engineering. Downtime risk grows, scaling costs explode, and your engineering team loses control over its own environment. We rebuild your infrastructure for what it should be — modular, observable, computationally minimal, and self-evolving — a foundation for autoscaled, observable workloads instead of simple lift-and-shift.

What we deliver:

• Cloud readiness upgrade. We make your .NET systems ready for cloud scalability and modernization. During a .NET framework upgrade, we audit every layer — runtime dependencies, infrastructure scripts, and data flows — aligning them with a future-ready topology. Our engineers use the AI Solution Accelerator™ approach to detect configuration drifts, environment coupling, and scaling bottlenecks that block portability.
• Modular container architecture. Break your monolith into containerized modules with well-defined boundaries. Each container becomes an autonomous unit with declarative health probes, resource quotas, and configuration injection — predictable under any load.
• Kubernetes domain architecture. We design Kubernetes environments tailored to your domain — with RBAC, namespace isolation, and automated scaling logic. Workloads communicate via service mesh with encrypted inter-service channels, traffic shaping, and rolling release safety nets.
• Cloud-native observability layer. We implement telemetry from the ground up: Prometheus, Grafana, Loki, and OpenTelemetry. Each deployment reports its own behavior. Our drift layer compares live state to IaC definitions, pinpointing silent misconfigurations before they escalate.
• Hybrid scalability & cost intelligence. We enable unified scalability across Azure, AWS, and on-prem clusters after upgrading to .NET 6 — with AI-assisted cost prediction to optimize your cloud spend, with one of the benefits of upgrading to .NET 6.

Through our AI Solution Accelerator™ engineering approach, your infrastructure gains autonomy: it scales when needed, heals itself, and proves its integrity at every deploy.

You migrate safely and improve with every release.

Engineering discipline meets intelligent automation. Delivery breaks when control is optional.

Legacy systems that you plan to migrate ASP.NET MVC to .NET 6 often carry fragile dependencies, exposed endpoints, and undocumented integrations that shape the .NET 6 migration cost estimate. When you refactor without control, every sprint can introduce new vulnerabilities faster than you can detect them. We embed security, privacy, and compliance into the modernization process itself.

We redesign delivery into a self-verifying ecosystem — governed CI/CD loop with metrics. Our AI models interpret syntax trees, dependency graphs, and build logs, turning invisible complexity into measurable insight.

What we deliver:

• AI-assisted delivery pipelines. Our AI Solution Accelerator™ integrates into CI/CD to analyze commits, builds, and logs in real time. Every modernization step — from refactoring patterns to container topology — follows secure-by-design principles.
• Semantic code and test intelligence. AI models understand code structure and generate context-aware validation tests, boosting coverage and reliability across .NET modernization projects.
• Predictive quality assurance. Through continuous telemetry, the system learns what healthy performance looks like and highlights deviations early — before users ever feel them.
• Automated continuous integration. We refactor CI pipelines (GitHub Actions, Azure DevOps, or GitLab CI) for parallel execution and full artifact traceability. When compiling in CI, C# 8 .Net framework setups require strict control over SDK versions and Roslyn analyzers to avoid regressions.
• Human-in-the-loop control. We keep engineers in control. Every automation cycle includes manual approval of key rollouts, sensitive data remains contained within its environment during all migration phases. Nothing deploys outside policy boundaries.

You gain delivery that self-checks, self-measures, and self-improves.Automation becomes reliable only after refactoring .NET delivery pipelines to include governance, quality gates, and policy-as-code checks. With our AI-governed engineering approach, every release is faster and safer: measurable, compliant, and performance-aware by design. Your product stops relying on deployment luck and starts evolving with predictable precision.

Understanding .NET 6 vs .NET 8 differences helps teams plan modernization for real performance by design.

Many .NET 6+ projects keep their legacy bottlenecks — old sync I/O, inefficient EF queries, heavy memory allocations — hidden behind new SDKs.

What we deliver:

• Performance profiling. We start by mapping your current system’s runtime profile — CPU hotspots, memory pressure, GC frequency, thread contention, and I/O latency. And correlate static code paths with runtime metrics to detect under-optimized segments.
• Parallelization optimization. To validate .NET Framework vs .NET 6 performance, we rework synchronous execution into async task-based flows, reducing blocking and improving throughput.
• Caching optimization. Database bottlenecks are eliminated through connection pooling, compiled queries, and query plan caching. We introduce in-memory or distributed caching with intelligent invalidation to balance speed and data accuracy.
• GC & memory management tuning. We adjust GC modes, heap allocation patterns, and object lifetimes to optimize throughput. AI-driven telemetry monitors memory fragmentation and recommends pre-allocations or struct usage where beneficial. 
• Continuous performance governance. Performance tests become part of CI/CD — automated regression checks ensure every future release sustains or improves benchmark results. Degradation never ships unnoticed. Every layer contributes measurable improvement.

Updating framework elements is only half the story. Through our AI Solution Accelerator™ engineering model, we turn performance tuning into a controlled, auditable process. Your upgraded .NET 6+ system runs leaner, scales smoother, and sustains peak performance.