Microsoft's .NET platform powers the backend systems behind the Fortune 500 — banking transactions, healthcare records, manufacturing ERP, logistics orchestration. FreedomDev has built and maintained enterprise .NET applications for over 20 years, from the original .NET Framework 1.1 through today's .NET 8 LTS. We handle the full lifecycle: greenfield development on .NET 8, migration from legacy .NET Framework 4.x, microservices decomposition with Azure and Docker, and long-term maintenance of the systems your business depends on.
.NET 8 is a Long Term Support release backed by Microsoft through November 2026, and it represents the culmination of a platform transformation that began with .NET Core in 2016. The framework is fully cross-platform — it runs on Windows, Linux, and macOS with identical behavior. It ships with Minimal APIs for lightweight HTTP services, full MVC for complex web applications, gRPC for high-performance inter-service communication, SignalR for real-time WebSocket connections, and Blazor for building interactive web UIs in C# instead of JavaScript. Kestrel, the built-in web server, consistently benchmarks in the top tier of the TechEmpower framework benchmarks, handling millions of requests per second on commodity hardware. The hosting model is flexible: deploy to Azure App Service, AWS Elastic Beanstalk, a Kubernetes cluster, or a $5/month Linux VPS — the same Docker image works everywhere. The SDK ships with project templates for every application type, a built-in dependency injection container that most enterprise teams never need to replace, and middleware pipeline composition that makes request processing transparent and testable. This is not the same .NET that required Windows Server and IIS to run a web application.
The performance story is concrete and measurable. .NET 8 introduced native Ahead-of-Time (AOT) compilation, which produces self-contained binaries that start in milliseconds instead of seconds — critical for serverless workloads on Azure Functions or AWS Lambda where cold start latency directly impacts user experience and cost. The garbage collector has been refined across every release since .NET Core 3.0, with regions-based GC reducing pause times and .NET 8 adding dynamic PGO (Profile-Guided Optimization) that the runtime uses to recompile hot paths during execution, delivering performance gains of 20-40% on real-world workloads without any code changes. System.Text.Json is now the default serializer, and in .NET 8 it supports source generation for zero-reflection serialization — eliminating one of the biggest AOT compatibility hurdles. For enterprise applications processing high transaction volumes — financial calculations, real-time inventory updates, telemetry ingestion — these improvements compound into measurable cost savings on infrastructure. Teams regularly report cutting their Azure compute spend by 30-50% after migrating from .NET Framework to .NET 8, purely from the runtime performance improvements and the ability to run on smaller Linux containers.
What makes .NET 8 compelling for enterprise development specifically is the breadth of the platform and how tightly the components integrate. Entity Framework Core 8 handles data access with LINQ-to-SQL translation, change tracking, compiled queries for hot paths, and migration tooling that maps cleanly to enterprise database schemas on SQL Server, PostgreSQL, or MySQL. For performance-critical queries where ORM overhead matters, Dapper sits alongside EF Core with minimal friction. ASP.NET Core Identity provides authentication and authorization with support for OAuth 2.0, OpenID Connect, and SAML — the protocols your enterprise SSO infrastructure already speaks. Background processing is handled by hosted services and the newer .NET 8 IHostedLifecycleService interface, or by mature libraries like Hangfire and Quartz.NET for scheduled jobs that previously required Windows Task Scheduler. .NET Aspire, introduced alongside .NET 8, provides an opinionated cloud-native application model with built-in service discovery, health checks, telemetry via OpenTelemetry, and a local development dashboard that lets developers run Redis, SQL Server, RabbitMQ, and all application services from a single dotnet run command — eliminating the Docker Compose YAML-wrangling overhead of Kubernetes-first development.
FreedomDev has worked inside the Microsoft ecosystem since before .NET existed — we were building COM+ components and ASP classic applications in the early 2000s. That history matters because enterprise .NET is never greenfield alone. Every project involves integrating with Active Directory or Azure AD for identity, connecting to SQL Server databases that have been running since 2008, consuming SOAP services that nobody wants to rewrite but everyone depends on, and deploying alongside Windows Services that handle background processing. We have migrated applications through every major .NET transition — from Web Forms to MVC, from .NET Framework to .NET Core, from WCF to gRPC, from full IIS hosting to containerized Kestrel. We understand the full surface area of Microsoft enterprise infrastructure, not just the latest framework release. This page focuses on the .NET platform, frameworks, deployment models, and migration patterns. For C# language-specific expertise — the type system, async/await patterns, LINQ, and language features that make .NET productive — see our C# development services page. Based in Zeeland, Michigan, we serve manufacturers, healthcare organizations, financial services firms, and logistics companies across West Michigan and the Midwest who have built their operations on Microsoft technology.
New enterprise applications built on .NET 8 LTS with clean architecture patterns — domain-driven design with clearly separated layers, CQRS where read and write patterns diverge, and MediatR for in-process messaging that keeps controllers thin and business logic testable. We use Minimal APIs for microservice endpoints where a full MVC pipeline adds unnecessary overhead, and standard controllers with model binding, validation, and content negotiation for applications that need the expressiveness. Every project ships with structured logging via Serilog piped to a centralized sink (Seq, Elasticsearch, or Azure Application Insights), health check endpoints for load balancers and container orchestrators, OpenTelemetry instrumentation for distributed tracing across service boundaries, and a CI/CD pipeline in GitHub Actions or Azure DevOps that runs tests, builds containers, and deploys to staging automatically. We configure .NET Aspire for the local development experience so new team members can clone the repo and run the full stack — application, database, cache, message broker — with a single dotnet run command. The architecture is designed for the team that maintains it after us, not just the team that builds it.
Legacy .NET Framework 4.x applications are locked to Windows, locked to IIS, and increasingly locked to an aging developer pool that prefers modern stacks. We migrate these applications to .NET 8 using an incremental approach: the .NET Upgrade Assistant identifies breaking changes and generates an initial compatibility report, we resolve API incompatibilities module by module, replace System.Web dependencies with ASP.NET Core middleware equivalents, swap WCF service references for gRPC or REST clients, and migrate Entity Framework 6 data access to Entity Framework Core or Dapper depending on query patterns. Both versions run in parallel behind YARP (Yet Another Reverse Proxy) — Microsoft's own .NET reverse proxy library — routing traffic to the new implementation as each module is validated. For applications that depend on Windows-specific APIs — Windows Forms, WPF desktop applications, Windows Services — we evaluate whether those dependencies can be replaced with cross-platform alternatives like .NET MAUI or BackgroundService, or whether a hybrid deployment with Windows containers makes more sense for the business. The result is an application that runs on Linux containers, deploys to any cloud provider, and can be maintained by the broader .NET developer market instead of the shrinking pool of .NET Framework specialists.
Decomposing a .NET monolith into microservices requires more than drawing boxes on a whiteboard. We identify service boundaries using domain analysis and the actual change frequency of your codebase — modules that change together should stay together, modules that change independently are candidates for extraction. We extract bounded contexts into independent services that communicate via asynchronous messaging (RabbitMQ, Azure Service Bus) or synchronous gRPC calls depending on consistency requirements, implement the transactional outbox pattern for reliable event publishing that survives process crashes, and use .NET Aspire for local development orchestration so developers can run the full service mesh on their laptops without maintaining Docker Compose files. Each service gets its own database (SQL Server, PostgreSQL, or Cosmos DB depending on the data model), its own CI/CD pipeline, and its own deployment cadence. We use Dapr sidecar architecture when teams need infrastructure abstraction across cloud providers, and direct SDK integration when they need maximum control and minimal latency. API gateways are implemented with YARP or Ocelot depending on routing complexity and authentication requirements.
Enterprise .NET applications rarely exist in isolation. They consume data from ERP systems, publish events to middleware platforms, authenticate against corporate identity providers, and serve mobile and frontend clients simultaneously. We build REST APIs with OpenAPI documentation generated from code using Swashbuckle or NSwag, versioned endpoints using URL path or header-based strategies, and rate limiting middleware with sliding window or token bucket algorithms to protect backend resources from abuse. For internal service-to-service communication, we use gRPC with Protocol Buffers for type-safe contracts and bidirectional streaming where appropriate — gRPC services in .NET 8 achieve significantly higher throughput than REST for internal calls due to binary serialization and HTTP/2 multiplexing. We integrate with Dynamics 365, SAP, Salesforce, and industry-specific platforms via their REST or OData APIs, using typed HttpClient instances with Polly retry policies and circuit breakers to handle transient failures gracefully. We build custom middleware when off-the-shelf connectors do not handle your business logic correctly, and we implement webhook receivers for event-driven integrations where polling would waste resources.
Entity Framework Core is the default ORM for .NET applications, and it works well when used correctly — and creates serious performance problems when used carelessly. We design EF Core data models with proper relationship configuration using fluent API over data annotations for complex schemas, use split queries to avoid Cartesian explosion on multi-include queries, implement compiled queries for hot paths that execute thousands of times per minute, and profile every database interaction with MiniProfiler during development to catch N+1 queries before they reach production. EF Core 8 added complex type support and raw SQL for unmapped types, closing gaps that previously forced workarounds. For read-heavy workloads where EF Core's change tracking adds unnecessary overhead — reporting dashboards, search results, bulk data exports — we use Dapper for raw SQL with compile-time query validation. The choice between EF Core and Dapper is not ideological — it is driven by measuring actual query performance against your data volumes and access patterns, and many of our applications use both in the same project. We also handle database migrations, schema evolution strategies for zero-downtime deployments using expand-and-contract patterns, and read replica routing for applications that need to scale reads independently from writes.
Blazor lets your C# developers build interactive web UIs without maintaining a separate JavaScript frontend team and a separate build pipeline. Blazor Server renders on the server and sends UI diffs over a SignalR WebSocket connection — low bandwidth, fast initial load, but requires a persistent connection to the server. Blazor WebAssembly runs the full .NET runtime in the browser — offline-capable, CDN-distributable, but larger initial download (approximately 2-3MB on first visit, cached afterward). Blazor's Auto render mode in .NET 8 combines both: server rendering for the first load with instant interactivity, then seamless handoff to WebAssembly once the runtime downloads in the background. Component libraries like MudBlazor and Radzen provide Material Design and enterprise UI components out of the box, and JavaScript interop lets you use any existing JS library when the .NET ecosystem does not have an equivalent. We build Blazor applications for internal enterprise tools — admin dashboards, data entry systems, reporting portals, and configuration management UIs — where the development velocity of a single C# codebase and shared domain models between frontend and backend outweighs the ecosystem advantages of React or Angular for consumer-facing UIs. For public-facing applications where SEO and first-paint performance are critical, we recommend React or Next.js with a .NET API backend.
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We had a .NET Framework 4.6 ERP that only ran on a single Windows Server and nobody wanted to touch it. FreedomDev migrated it to .NET 8 over six months — module by module, zero downtime. It runs in Docker on Linux now, deploys in minutes instead of hours, and our infrastructure costs dropped 40%. More importantly, we can actually hire developers who want to work on it.
A West Michigan manufacturer running a custom ERP system built on .NET Framework 4.6.2, ASP.NET Web Forms, and SQL Server 2016. The application manages production scheduling, inventory tracking, purchase orders, and quality control workflows for three plants. It is deployed on a single Windows Server 2016 VM, requires IIS, and has no API layer — the mobile inventory scanners scrape HTML responses to update stock counts. The original development team is gone, and the one contractor who understands the codebase charges a premium for every change. We perform a two-phase modernization: Phase 1 (3 months) wraps the existing SQL Server database with a .NET 8 REST API using Entity Framework Core, giving the warehouse scanners proper endpoints with proper authentication and enabling a React dashboard for plant managers to view production metrics in real time instead of running nightly reports. Phase 2 (5-7 months) migrates the Web Forms UI to Blazor Server module by module — production scheduling first because it changes most frequently, then inventory, then purchasing — using the strangler fig pattern with YARP reverse proxy routing between old and new. The legacy system stays live for unmigrated modules until each replacement is validated in production with real users. Total investment: $250K-$450K depending on the number of custom reports and third-party integrations. Result: a cross-platform application that runs in Docker containers on Linux, deploys via CI/CD in minutes instead of hours, and any qualified .NET developer can maintain without specialized knowledge of the original codebase.
A healthcare technology company processing insurance claims needs a new adjudication engine that handles 50,000+ claims per day with full HIPAA compliance and audit logging. The existing system is a monolithic .NET Framework application that processes claims in batch overnight — providers wait until the next business day for adjudication results, and errors require manual intervention by a team of three analysts. We build the replacement platform on .NET 8 with a microservices architecture: an ingestion service that accepts claims via HL7 FHIR and X12 EDI formats with schema validation at the boundary, a rules engine service that applies payer-specific adjudication logic using a configurable rule set that business analysts can update without code deployments, a notification service for provider and member communications via email and SMS, and an analytics service feeding a Power BI dashboard with real-time claim status metrics. Services communicate via Azure Service Bus for reliable message delivery with dead-letter handling for claims that fail adjudication — no claim is ever silently dropped. Data is stored in Azure SQL with row-level security and Always Encrypted for PHI columns. The API layer uses ASP.NET Core Identity with Azure AD B2C for provider portal authentication and certificate-based mutual TLS for payer integrations. Every claim state change is written to an immutable audit log in Azure Table Storage, satisfying HIPAA audit trail requirements. Infrastructure is defined in Bicep templates and deployed via Azure DevOps pipelines with environment-specific configurations for dev, staging, and production.
A regional logistics company managing a fleet of 300+ vehicles needs real-time GPS tracking, automated dispatch, and customer-facing delivery ETAs. The existing system is a batch process that updates locations every 15 minutes from a third-party telematics provider — drivers call dispatch manually when they are running late, and customers have no visibility. We build a .NET 8 backend that ingests GPS telemetry via an MQTT broker, processes location updates through a SignalR hub that pushes real-time positions to dispatch dashboards and customer tracking pages, calculates dynamic ETAs using historical route data stored in PostgreSQL with PostGIS spatial queries, and triggers automated SMS and email notifications when deliveries are within configurable geofences of their destinations. The dispatch interface is a Blazor Server application with Mapbox integration showing live vehicle positions, route optimization suggestions based on current traffic data, and driver assignment workflows with drag-and-drop scheduling. The system processes 500,000+ location updates per day and serves 2,000 concurrent WebSocket connections on two Azure App Service instances behind a sticky-session load balancer. SignalR backplane uses Azure Redis Cache for message distribution across instances. Background workers built with .NET 8 hosted services calculate route analytics overnight and generate daily fleet utilization reports that operations managers review each morning.
A financial services firm needs to replace a monolithic .NET Framework 4.8 application that handles client onboarding, portfolio management, and regulatory reporting. The application has grown over 12 years to 400K lines of code with deeply entangled business logic and a SQL Server database with 600+ tables. Deploying a single bug fix requires a full regression test cycle because no one can predict what a change in the portfolio module will do to regulatory reporting. We decompose it into bounded contexts: a client onboarding service handling KYC/AML verification with third-party identity providers, a portfolio service managing positions and transactions with event sourcing for complete audit history, a reporting service generating SEC-mandated reports on schedule, and a gateway API that presents a unified interface to the advisor-facing Angular frontend. Each service owns its data store — the portfolio service uses Event Store for append-only event streams with SQL Server projections for query models, the reporting service uses a read-optimized SQL Server replica that can be rebuilt from events at any time. Inter-service communication uses MassTransit on RabbitMQ with the saga pattern for multi-step workflows like account opening that span services and must complete atomically or compensate on failure. The entire platform is containerized with Docker, orchestrated with Kubernetes on Azure AKS, and monitored with Application Insights and Grafana dashboards for both infrastructure and business metrics. Migration from the monolith takes 12-16 months with quarterly production releases, each delivering a fully functional subset of services that the advisory team can use immediately.