.NET Core Migration & Development Services

Establish architectural ground truth before committing to transformation.

We analyze legacy .NET Framework systems to design migration-ready architecture, define clear execution boundaries, and plan phased transition strategies:

• System Topology Reconstruction. We map runtime architecture, including service segmentation, library usage, shared memory layers, configuration zones, and external system boundaries. We document process flows and surface interactions.
• Dependency Complexity Profiling. We quantify inter-module coupling, locate unstable or test-fragile classes, and detect transitive dependency chains. Each component is evaluated using a .NET migration tool to assess its volatility, migration cost, and potential for fault propagation.
• Functional Boundary Isolation. During processes like migrating from ASP .NET MVC to ASP .NET Core MVC, we segment monoliths into coherent execution domains. We identify shared state, global scope contamination, and legacy threading constraints that inhibit isolated deployment.
• Transition Strategy Definition. We evaluate modular extraction, interface scaffolding, and progressive rewrite approaches. Each option is modeled against delivery capacity, regression scope, and test coverage requirements.
• Infrastructure & Runtime Alignment. We review OS dependencies, I/O patterns, and deployment models to ensure compatibility with .NET Core and containerized runtimes. We assess CI/CD integration and readiness for Azure-native execution.

Outcome: a system blueprint aligned with execution and engineered for phased, verifiable .NET Core migrate processes.

Deliver predictable system evolution with controlled scope, minimal downtime, and traceable behavioral consistency.

We execute phased migrations from .NET Framework to .NET Core, using code isolation, compatibility scaffolding, and real-time drift detection to ensure operational integrity at each stage.

Our focus is system survivability, not code movement, preserving function under changing architecture:

• Module Extraction and Refactoring. We isolate stable modules from legacy systems and refactor them into Core-compatible components. We deprecate stateful logic, replace outdated patterns (e.g., AppDomain usage and synchronous handlers), and remove WinForms and WCF dependencies where applicable.
• Interface Scaffolding. We build adapters, wrappers, and façade layers to maintain contract-level consistency during transition. Interfaces are aligned with ASP.NET Core patterns, and legacy consumers are connected through temporary proxies until cutover is completed.
• State Preservation. We analyze persistence models and migrate state representations, schema structures, and session handling logic to support Core runtime behavior. Data model evolution is tracked with versioning and rollback safety.
• Runtime Execution Stabilization. We deploy under controlled environments, using containerized Core runtimes (e.g., Docker + Kestrel/Nginx). Runtime differences — thread scheduling, garbage collection, event loops — are observed using synthetic traffic and load patterns to detect regressions early.
• Cross-Version Behavior Consistency. We integrate behavior snapshots and golden path tests from legacy systems to validate equivalence. Functional drift and non-deterministic behavior are flagged, traced, and resolved during migration stages, maintaining behavioral symmetry throughout API development in ASP .NET Core.

Outcome: a stable .NET Core system delivered through controlled module extraction, consistent interfaces, and comprehensive behavior validation across environments.

Transform monolithic systems into modular, independently deployable services with traceable boundaries and platform-aligned execution models. This work focuses on service decomposition, encapsulation, and orchestrated execution under real-world load and delivery conditions.

The engagement includes five core services:

• Domain Segmentation and Service Definition. We extract business domains and operational flows to define viable service boundaries.
• Service Containerization and Runtime Isolation. We containerize decomposed services using Docker and align execution with Kubernetes or Azure Service Fabric. Runtime behavior is validated against system-level constraints: thread pools, resource quotas, I/O throughput, and latency budgets.
• Inter-Service Communication Modeling. We define contracts and messaging strategies — REST, gRPC, or async queues — based on SLA tolerance, failure isolation, and message fan-out. Communication flows are hardened against retries, partial failures, and schema drift.
• Observability and Failure Containment. We integrate telemetry for health checks, distributed tracing, and anomaly detection. Service boundaries are hardened with circuit breakers, bulkheads, and policy-based retries to ensure local failures remain local.
• CI/CD Orchestration and Lifecycle Control. We connect service development to deployment pipelines with versioned containers, tagged releases, and environment-aware rollout strategies. Rollback and hotfix pathways are modeled for each service independently.

Outcome: a modular .NET Core service mesh with domain-aligned boundaries, autonomous deployments, and full operational observability.

Align application infrastructure with a modern runtime environment to support scale, resilience, and delivery automation.

We prepare .NET Core systems for cloud-native deployment, optimizing container behavior, service composition, and operational governance under public, private, or hybrid cloud models.

This work focuses on enabling infrastructure elasticity and reducing operational overhead, and enforcing predictable behavior across changing runtime contexts.

The engagement includes five core services:

• Runtime Environment Validation. We test application behavior under cloud constraints, including statelessness, horizontal scaling, volatile IP addresses, and ephemeral storage, and adapt our threading, caching, and session models accordingly.
• Container Build Optimization. We construct lean container images for .NET Core services using multistage builds, slim base layers, and minimal startup profiles. Images are optimized for security, scanned, and versioned for promotion control.
• Service Mesh Integration. We configure Kubernetes or Azure-native orchestration with health probes, liveness policies, and autoscaling thresholds. We enable routing, service discovery, and policy-based access with Istio or Linkerd.
• Environment-Aware Configuration. We separate runtime configuration from the codebase. Environment variables, secrets, and external service bindings are injected at deploy time via Helm charts, Terraform modules, or Azure pipelines.
• Observability and SLO Enforcement. We deploy telemetry and alerting to track latency, saturation, error rates, and resource consumption. Dashboards and SLOs are defined per service class, with integrated rollback triggers and on-call workflows.

Outcome: a cloud-ready .NET Core execution model with automated deployment, runtime traceability, and infrastructure elasticity under control.

Establish system reliability, performance equilibrium, and maintainability patterns after the migration process completes.

We provide post-migration services for .NET Core systems where architectural shifts, runtime model changes, and tooling transitions often expose unmodeled fragility. Our focus is not incident reaction, but systemic hardening.

The engagement includes five core services:

• Runtime Stability & Resource Profiling. We analyze execution under live conditions, including memory pressure under updated GC models, thread pool saturation, I/O latency, and async queue backlogs. We attribute anomalies to misaligned system design, rather than transient noise.
• Codebase Correction & Artifact Removal. We clean up post-migration artifacts such as leftover .NET Framework shims, temporary adapters, and placeholder interfaces. The code is stabilized into a Core-Native execution form — deterministic, container-safe, and observable.
• Service Behavior Normalization. We validate distributed execution across services: message queues, retries, consistency gaps, orphaned tasks, and race conditions. Service boundaries are reverified against runtime contract fidelity and operational drift.
• CI/CD Post-Merge Governance. We reconfigure pipelines for low-risk deployment: release gating, traffic splitting, dark launching, and time-based rollback. Drift logs and state mutation monitors are integrated into observability pipelines.
• Operational Playbooks. We establish operational runbooks tied to failure models observed post-migration, including cold start spikes, configuration mismatches, degraded message flow, and timeouts under partial dependency availability.

Outcome: a post-migration .NET Core system with confirmed runtime integrity, stabilized services, and self-recovering failure patterns documented and enforced.

Build execution-centric systems with measurable performance, clean interfaces, and minimal operational ambiguity.

As part of our .NET Core development services, we build applications where runtime behavior, system topology, and delivery constraints shape implementation decisions. Every service, interface, and pipeline is designed for traceability under load and auditability across environments.

This work focuses on implementation that scales, communicates, and survives—not just compiles.

The engagement includes five core services:

• Service Design and Execution Modeling. We define service responsibilities, isolation boundaries, and concurrency models based on workload profiles, domain constraints, and deployment topology. Designs are traceable to NFRs and observable under synthetic and real traffic.
• Interface Contracts and Compatibility Discipline. We design stable interfaces across REST, gRPC, and message brokers with explicit versioning, backward-compatibility layers, and schema governance. API surface is minimized, and dependency contracts are enforced across boundaries.
• Asynchronous Processing and Background Execution. We implement durable task queues, message-based workflows, and time-bound job orchestration to ensure seamless and efficient operation. Failure cases — retries, poison queues, handler timeouts — are tracked and instrumented.
• Observability-First Implementation. We embed metrics, traces, and structured logs during development, not post-factum. Dashboards and alerts reflect the execution of functions, SLA compliance, and edge failure symptoms across pre-production and production environments.
• Environment-Aligned Delivery Patterns. We align our deliverables with target deployment options: containerized microservices, Azure Functions, or on-premises hosted APIs. Code is tested against operational behaviors, including those encountered in ASP .NET Core API from scratch to master Azure deployment.

Outcome: a production-grade .NET Core system designed for high-clarity execution, predictable behavior, and maintainable complexity across the whole application lifecycle.