In a tech world that idolizes speed, minimalism, and shiny new frameworks, .NET can feel like the quiet powerhouse in the room, often overlooked, yet consistently delivering where it matters most.
It’s not always the trendiest choice, but in 2025, .NET remains one of the most reliable and scalable frameworks available for Custom Software Development.
The paradox? .NET is both mature and modern, and that’s exactly what makes it powerful.
Originally launched by Microsoft in the early 2000s, .NET has gone through a major transformation.
From its Windows-only, monolithic roots to today’s lightweight, cross-platform, cloud-native ecosystem, .NET has evolved into a future-ready development platform that supports everything from scalable web APIs to cross-device apps and AI workloads.
Still, not every project should default to .NET.
The same robustness that makes it ideal for fintech platforms, compliance-heavy systems, and enterprise SaaS applications can also be overkill for scrappy MVPs, frontend-heavy experiences, or products without infrastructure support.
In short: .NET shines in the right context and hinders in the wrong one.
As we move deeper into 2025, many CTOs, technical architects, and engineering leaders are re-evaluating their stack choices.
AI is reshaping application logic. Cloud-native architectures are becoming default. Developer velocity and scalability need to coexist. Against this backdrop, the decision to use .NET is less about loyalty to a language, and more about how well it aligns with long-term product strategy.
This guide exists to make that decision easier.
Whether you’re leading a product team at a SaaS company, modernizing legacy systems, working in a Custom Software Solution or deciding between .NET and another stack for your next big project, we’ll break down:
When .NET makes the most sense, and what it does best
Where it struggles or becomes unnecessarily complex
What the future of the framework looks like, and how to future-proof your platform
Real technical considerations, backed by code snippets, diagrams, and use cases
Let’s dive in and explore when .NET is the right tool for the Custom Software Development, and when it’s not.
To understand when to use .NET in 2025, we first need to clarify what .NET actually is today, because it’s not the same .NET many developers learned a decade ago.
.NET is no longer just a Windows-only framework or a relic of enterprise intranet apps.
It’s now a unified, open-source, cross-platform development platform backed by Microsoft and a global community.
In its current form, .NET allows you to build high-performance applications across web, desktop, mobile, IoT, gaming, cloud, and even machine learning.
It has become a standpoint for Custom Software Development, as well, and we use it a lot in Near Coding.
.NET began as the .NET Framework, a powerful but Windows-only runtime launched in the early 2000s. For years, it dominated enterprise development, but its tight coupling to Windows made it a poor fit for modern, cloud-native, cross-platform needs.
That changed in 2016 with the release of .NET Core, a lean, fast, and cross-platform reimagining of the original framework.
Developers could now run .NET applications on Linux, macOS, and in containers, unlocking new possibilities for web and cloud applications.
In 2020, Microsoft took it a step further with .NET 5, launching what’s now called the Unified .NET Platform.
Since then, each yearly release (6, 7, 8, and now 9 in preview) has moved the ecosystem toward more performance, better cloud integration, and a developer-first experience.
In 2025, the .NET ecosystem is rich and multi-layered. Here are some of its core components:
C# – The primary language of .NET, known for its blend of expressiveness and safety. Continuously evolving, C# 13 is expected in .NET 10.
ASP.NET Core – A fast, modular web framework for building APIs, microservices, and web apps.
Blazor – Enables building rich, interactive UIs using C# instead of JavaScript. Comes in Server and WebAssembly flavors.
Entity Framework Core – Microsoft’s ORM for working with relational data in an object-oriented way.
MAUI (.NET Multi-platform App UI) – Allows building native apps for Android, iOS, macOS, and Windows from a single codebase.
ML.NET – An open-source, cross-platform machine learning framework for .NET.
Minimal APIs – Lightweight syntax for building REST APIs with less boilerplate.
This modernized toolkit gives developers power and flexibility, whether they’re building a scalable B2B SaaS backend, a mobile app, a Custom Software Solution or deploying microservices across Kubernetes clusters.
.NET today is:
Cross-platform – Runs on Windows, macOS, and Linux
Cloud-native – Built for Docker, Kubernetes, and Azure (but works great with AWS and GCP too)
Open Source – Governed by the .NET Foundation, with over 100,000 contributions from the community
This cross-platform and open-source evolution has transformed .NET into a modern development choice that no longer feels locked into a Microsoft ecosystem.
Understanding .NET’s evolution is key to using it well.
Today’s unified .NET platform (versioned yearly: 6, 7, 8, 9…) merges the best of both worlds. It offers:
Runtime & compiler improvements
Standardized APIs
Modular architecture
Cross-platform development out of the box
.NET is modular and layered, meaning you can use only what you need. Its key components include:
Handles memory management, type safety, garbage collection, and JIT compilation. In .NET 9+, you also get Native AOT compilation for better startup performance.
A massive library of types for everything from collections to I/O to security.
C# – Main language (modern, performant, easy to learn)
F# – Functional-first programming
VB.NET – Still supported, mostly for legacy apps
Entity Framework Core – Official ORM for relational DBs
Dapper – Lightweight micro-ORM
EF Core Cosmos DB Provider – NoSQL support
ML.NET – Machine Learning framework
Azure SDKs – Native integrations for cloud services
OpenTelemetry, Serilog, Seq – Logging & observability
.NET is known for its world-class developer tooling, one of its most strategic advantages.
.NET also integrates with:
GitHub Actions, Azure DevOps, TeamCity, Octopus Deploy (CI/CD)
Docker, Kubernetes, Terraform, and Pulumi (infrastructure)
In short, .NET in 2025 is not “just another backend framework.” It’s:
A runtime (CLR) that handles memory, threads, and JIT/AOT
A language stack (C#, F#, VB) with evolving capabilities
A rich standard library (BCL) for building any kind of app
A cross-platform application model that supports cloud-native, mobile, web, and desktop development
A toolchain with robust debugging, testing, observability, and CI/CD support
A global open-source community, backed by Microsoft but driven by devs
Whether you’re targeting Linux servers, deploying serverless APIs on Azure, building cross-platform apps with MAUI, or using .NET with OpenTelemetry and gRPC, this is a platform with serious engineering depth.
In 2025, .NET is a rich and modular ecosystem of tools, frameworks, and libraries. Here are the most important technologies you should know, categorized by use case and development tier:
ASP.NET Core
The backbone of web development in .NET. It’s a high-performance, cross-platform framework for building web apps, REST APIs, and microservices. Features include built-in dependency injection, Razor Pages, minimal APIs, middleware-based pipelines, and full support for OpenAPI/Swagger.
Minimal APIs
A lighter syntax introduced in .NET 6+, ideal for microservices and small APIs. Reduces boilerplate code while keeping performance high.
SignalR
For real-time communication (web sockets, live dashboards, chat apps). Great when you need to push data instantly to the frontend.
gRPC
A high-performance RPC framework that works perfectly in microservice and low-latency systems, especially in polyglot architectures.
Blazor (Server and WebAssembly)
Enables building rich, interactive web apps using only C# and Razor, eliminating the need for JavaScript in many scenarios.
Blazor Server: Faster initial load, code runs on the server
Blazor WASM: True single-page app, all logic runs in the browser
.NET MAUI (Multi-platform App UI)
The successor to Xamarin.Forms. Build native apps for Android, iOS, macOS, and Windows from a single codebase using C# and XAML.
WinForms / WPF
Still used in enterprise and legacy desktop applications, with continued support in the Windows-only .NET SDKs.
Entity Framework Core (EF Core)
The official ORM for .NET. Offers LINQ support, migrations, change tracking, and multiple provider options (SQL Server, PostgreSQL, SQLite, CosmosDB, etc.).
Dapper
A lightweight micro-ORM built by the Stack Overflow team. Blazingly fast and great for performance-critical apps.
LINQ (Language Integrated Query)
A powerful abstraction that allows querying objects, databases, XML, and more using native C# syntax.
ML.NET
A machine learning framework built for .NET developers. Supports classification, regression, clustering, time series, and recommendation systems.
Azure Cognitive Services
Add pre-trained models (vision, speech, NLP) via easy-to-consume APIs. Can be integrated natively through Azure SDKs.
ONNX Runtime for .NET
Run models trained in PyTorch or TensorFlow using the ONNX format within .NET applications.
Azure SDK for .NET
Deep integration with Azure services: Blob Storage, Key Vault, App Services, Functions, Cosmos DB, and more.
Docker & Kubernetes
.NET apps run natively in containers. ASP.NET Core apps, Blazor WASM apps, and gRPC services can be deployed to K8s clusters across cloud providers.
YARP (Yet Another Reverse Proxy)
A customizable, performant reverse proxy built in .NET—great for API gateways and BFF (Backend-for-Frontend) patterns.
OpenTelemetry + Serilog + Seq
For observability, structured logging, and distributed tracing.
xUnit / NUnit / MSTest – Popular unit testing frameworks for .NET
FluentAssertions – For readable and expressive test assertions
BenchmarkDotNet – Microbenchmarking framework to test app performance
Playwright for .NET – End-to-end UI testing automation
Together, these technologies make .NET not only powerful and scalable, but also adaptable, capable of meeting the needs of modern businesses, from enterprise-grade software to agile startup prototypes (when used wisely). It has proven to be preffered by Senior Software Developers, Leader and CTOs for Custom Software Development, specialy in a Nearshore Software Development environment, with Distribuited Nearshore Software Development Teams that work in a Nearshore Software Services setting.
For developers, architects, and product owners building robust, scalable, and secure platforms, .NET offers a set of strengths that are hard to match, especially when the stakes are high.
In 2025, .NET is no longer “just the enterprise stack.” It’s a high-performance, open-source, cloud-native, cross-platform ecosystem with first-class tooling and a maturing developer experience. Let’s explore its key strengths.
.NET is designed for speed, and it shows.
Thanks to advances like the CoreCLR runtime, tiered compilation, and native AOT (Ahead-of-Time) compilation introduced in .NET 8 and improved in .NET 9, applications can now start faster, consume less memory, and deliver low-latency responses at scale.
Just-In-Time (JIT) + Tiered Compilation: Balances startup time with long-term optimization.
Native AOT: Great for microservices, CLI tools, and cold-start-sensitive apps (like serverless functions).
Minimal APIs: Lightweight syntax that minimizes overhead for REST APIs.
Span<T> and Memory<T>: Struct-based memory optimizations, enabling high-throughput workloads.
Example:
var app = WebApplication.CreateBuilder(args).Build();
app.MapGet("/ping", () => Results.Ok("pong"));
app.Run();
Minimal API, native AOT, and containerization can reduce cold starts by 60%+ in microservices.
One of the strongest value propositions of .NET is the developer experience.
Visual Studio remains the most feature-complete IDE for enterprise developers, while Visual Studio Code (with the C# Dev Kit) and JetBrains Rider offer powerful, lightweight alternatives.
Hot Reload: Modify code and see results instantly, without restarting.
Visual Studio Diagnostics Tools: Memory profiling, performance tracking, and live debugging.
Live Unit Testing: See test results update as you type.
GitHub Copilot + IntelliCode: Smart suggestions directly integrated into C# development workflows.
.NET was built with defensive programming in mind.
Microsoft’s emphasis on enterprise security makes it a strong choice for regulated industries like finance, healthcare, and government.
Built-in identity management via ASP.NET Identity and integration with Azure AD B2C
Cryptographic APIs (System.Security.Cryptography)
Data protection, anti-CSRF, anti-XSS, and rate-limiting baked in
HTTPS-by-default and hardened middleware pipelines
Native support for OWASP Top 10 best practices
Tools like IdentityServer and Duende Identity add OAuth2, OpenID Connect, and external login provider integrations.
With .NET, you’re not locked into a single OS or deployment model. You can:
Build and run on Windows, Linux, and macOS
Deploy to cloud-native containers (Docker, Kubernetes)
Use the same codebase for mobile, desktop, web, and APIs
Write UI with MAUI, Blazor, or traditional XAML/WinForms
This makes .NET ideal for modern businesses that need their software to be flexible across environments and delivery models.
.NET is designed for modern CI/CD, observability, and infrastructure-as-code environments.
Built-in support for Docker, Kubernetes, and Helm
OpenTelemetry support for tracing and metrics
Native integration with GitHub Actions, Azure DevOps, and Terraform
Structured logging via Serilog, Seq, or Application Insights
Example: A production-grade microservice using ASP.NET Core + Serilog + OpenTelemetry + Redis can be containerized and deployed with just a few configuration files.
C# is one of the most modern, expressive, and readable languages in the software world, amazing for Custom Software Development.
In 2025, C# 13 includes features like:
Primary constructors for classes
Lambda enhancements
Improved pattern matching
Required members
.NET’s massive ecosystem includes:
NuGet: Over 300,000 packages available
ML.NET and ONNX for machine learning
Azure SDKs for everything from Functions to Cosmos DB
Dapper and EF Core for flexible database access
This maturity makes .NET ideal for building maintainable, large-scale systems with complex domain logic.
Microsoft provides clear release cycles and long-term support (LTS) versions every two years.
This predictability matters for long-term projects and enterprise procurement policies.
Finally, .NET is supported by:
A global open-source community
The .NET Foundation
Dozens of large-scale enterprise contributors
Microsoft’s engineering teams
This means extensive documentation, regular updates, and a thriving ecosystem of packages, tutorials, and support channels.
In summary, .NET in 2025 offers stability without stagnation.
It’s one of the few platforms that combines modern cloud-native architecture, enterprise-grade security, and a phenomenal developer experience, all without sacrificing performance or flexibility.
Choosing a technology stack isn’t about buzzwords, it’s about alignment.
Alignment with your business goals, technical constraints, security needs, and long-term vision.
In 2025, .NET is a top-tier choice for certain classes of systems, especially those that require stability, performance, and long-term maintainability. Here’s where .NET continues to dominate.
.NET has long been favored in finance, and for good reason. These systems demand high throughput, low latency, and tight security.
Native support for encryption, compliance frameworks, and identity management
High-speed messaging via gRPC and SignalR
Well-suited for audit trails, transaction integrity, and multi-region deployment
Strong support for multi-tenant architectures and domain-driven design
A compliance platform processing 50,000 transactions per minute with ASP.NET Core APIs, PostgreSQL via EF Core, Redis caching, and RabbitMQ — all containerized on Azure Kubernetes Service (AKS).
Scalable backend-heavy SaaS apps often rely on .NET for its code modularity, security model, and support for background workers and distributed tasks.
Subscription-based platforms (B2B, B2E)
Role-based authorization (via Identity + OAuth)
Custom workflow engines, rule processing, and multi-region tenant logic
Scheduled background jobs with Hangfire, Quartz.NET, or Worker Services
ASP.NET Core + EF Core + SQL Server
Redis for caching
RabbitMQ or Azure Service Bus for messaging
Docker/Kubernetes + Azure DevOps pipelines
Bonus: With Blazor Server, you can build complex admin dashboards without relying on React or Angular.
When your platform needs to crunch numbers, transform data, and serve dashboards, .NET delivers fast, maintainable code at scale.
LINQ for intuitive data querying
Background processing via Worker Services
Stream processing with Reactive Extensions or Kafka clients
Server-side rendering via Razor Pages or Blazor Server
Dapper for fast SQL execution
Power BI embedding
FluentValidation + MediatR for complex business rules
These platforms require strict audit logging, authentication policies, and long-term supportability, a sweet spot for .NET.
Out-of-the-box security patterns for authorization/authentication
Built-in Data Protection API
Easy integration with Active Directory, Azure AD, or custom SSO providers
UI built with MAUI or Blazor for a consistent cross-platform experience
Case: Legal tech apps built with Blazor + ASP.NET Core for managing contracts, signatures, and compliance workflows.
Using .NET MAUI, teams can now deploy native apps for Android, iOS, macOS, and Windows from a single codebase, ideal for internal tools, B2B portals, and offline-first enterprise apps.
Shared C# + XAML codebase
Offline sync, push notifications, camera, file access APIs
Easy API integration with .NET backend
Full access to native SDKs when needed
ASP.NET Core + Docker + Kubernetes is a gold-standard combo for microservices.
Minimal APIs with AOT for blazing-fast containerized workloads
Strong OpenTelemetry integration
gRPC and RESTful endpoints side by side
Azure Functions or AWS Lambda (with .NET support) for serverless
Example: Retail platform with 25 microservices communicating via gRPC, hosted on AWS EKS, using Dapr for service discovery and Redis for shared caching.
While Python dominates training models, .NET plays a key role in running them at scale, especially with ML.NET and ONNX Runtime.
Predictive analytics in fintech or logistics
Sentiment analysis in customer platforms
Anomaly detection in healthcare IoT
Recommendation engines integrated via ML.NET pipelines
.NET remains the stack of choice for many internal tools.
CRMs, inventory management systems, HR dashboards, and admin portals.
Why?
Fast development with Razor Pages or Blazor
Deep integration with Microsoft 365, SharePoint, and Active Directory
Long-term maintainability
Use .NET confidently when your application needs:
✅ High performance under load
✅ Structured, maintainable codebases
✅ Secure, compliant architectures
✅ Deep Microsoft/Azure integrations
✅ Long-term scalability and support
✅ Cross-platform capabilities
✅ Custom Software Development
Despite all its strengths, .NET isn’t the right solution for every project.
In 2025, the software landscape is broader than ever, with lightweight frameworks, low-code platforms, and cloud-native runtimes all competing for relevance. Choosing .NET without considering trade-offs can lead to unnecessary complexity, slower iterations, or over-architected solutions.
Here’s when you should think twice before reaching for .NET.
Startups building MVPs under tight timelines and low budgets may find .NET too heavy ,especially if they lack DevOps expertise or infrastructure support.
ASP.NET Core apps often require containerization, CI/CD, and cloud deployment to be effective, adding upfront complexity.
Azure costs (if mismanaged) can grow faster than with lighter alternatives.
For quick proof-of-concept apps or weekend hackathon builds, a JavaScript-first stack like Next.js + Firebase or Node.js + Supabase may get you live faster.
Example:
If your entire backend is just 3 REST endpoints with Firebase Auth and Firestore, .NET will likely slow you down, not speed you up.
When the backend is thin and the product logic lives mostly in the frontend, like in many SaaS dashboards or client-side apps.
JavaScript frameworks may offer better velocity.
Blazor WASM is powerful, but still lags behind React, Vue, and Svelte in ecosystem maturity.
Teams with strong JavaScript skills may prefer fullstack JavaScript to reduce context switching.
You can deploy a full Next.js app with built-in routing, auth, and DB in less time than scaffolding a full .NET/EF Core solution.
While .NET supports IoT and embedded scenarios (e.g., with .NET nanoFramework), it’s not always the best tool for resource-constrained environments.
C, C++, or Rust for tight memory footprints
Python or MicroPython for rapid prototyping
Real-time operating systems (RTOS) with native bindings
Tip: Use .NET at the edge gateway (e.g., to stream, aggregate, and route data) but not inside sensors or microcontrollers.
While C# talent is still abundant, especially in Eastern Europe and Latin America, teams deeply rooted in other ecosystems may face a steep learning curve.
A Python-first team may prefer Django or FastAPI
A JVM-heavy organization may stick to Spring Boot or Kotlin
A data science-heavy team may gravitate toward Python-native tooling
.NET excels when you have a team trained in its patterns and idioms—not when you’re forcing unfamiliar tooling onto developers who prefer another stack.
Although .NET has made enormous progress in performance, garbage-collected runtimes can still cause issues in extreme low-latency environments (e.g., high-frequency trading, game engines, etc.).
Rust or C++ for deterministic memory control
Java with ZGC or Shenandoah for tuning GC latency
Erlang or Elixir for actor-based concurrency and fault tolerance
While .NET can run in serverless environments (Azure Functions, AWS Lambda), cold start times can be higher compared to Node.js or Go—especially when not using Native AOT.
If you’re building high-throughput, low-latency serverless APIs, use .NET only with:
.NET Native AOT
Pre-warmed instances (Elastic Premium / Provisioned Concurrency)
Lightweight functions (Minimal APIs, no bloated DI graphs)
You may want to choose a different stack if:
⏱️ Speed to prototype outweighs long-term maintainability
🧪 The project is experimental or a short-term PoC
💸 Budgets or infra expertise are very limited
🧠 Your team lacks .NET experience and has strong roots in another ecosystem
🧵 Ultra-deterministic memory handling is a top priority
The key isn’t whether .NET is “better” or “worse”, it’s whether it aligns with the needs of the project, the team, and the business model.
In the next section, we’ll explore how .NET is evolving, and why it’s increasingly positioned to future-proof complex software systems.
One of the most underestimated traits of .NET is its ability to evolve without abandoning its foundations.
In a world where frameworks rise and fall in months, .NET’s steady transformation—fueled by Microsoft and a growing open-source community—has positioned it as a platform that’s both backward-compatible and future-ready.
2025 isn’t the end of .NET’s growth; it’s a springboard for its next era.
Starting with .NET 5, Microsoft adopted a predictable yearly release cycle: odd-numbered versions (like .NET 7 and 9) are “current” (short-term), while even-numbered versions (like .NET 6, 8, and upcoming 10) are LTS (Long-Term Support).
This cadence brings:
Predictable upgrades
Time-boxed innovation
Enterprise-grade support for critical systems
Easier long-term planning for CTOs and architects
The upcoming releases continue to build on performance, cross-platform capability, and modern dev patterns.
Better Native AOT: More scenarios will be supported natively, improving cold start times and binary size.
Improved Blazor unification: Server and WebAssembly models will become more seamless.
Async Streams & Observables: Reactive programming will become more integrated with language-level features.
.NET Aspire: A cloud-native app model for building microservices with Dapr, gRPC, and observability baked in.
AI SDKs: Closer integration with ONNX, ML.NET, and Azure AI services for productionizing machine learning models.
AI is shifting how software is built, from developer productivity to how logic is executed.
.NET is evolving alongside:
Native support for ONNX Runtime and TensorRT for model execution
Tools to integrate Azure OpenAI Services (ChatGPT, Codex, DALL·E APIs)
Enhanced support for vector embeddings, semantic search, and data classification with ML.NET
For companies building AI-augmented apps (e.g., contract review, fraud detection, smart CRM), .NET offers a practical way to plug intelligence into mature business systems, without reinventing the stack.
.NET isn’t just catching up to cloud-native—it’s helping define the enterprise way of doing it.
Native Dockerfile generation via dotnet publish
Minimal API + Native AOT for cold-start-friendly microservices
Full OpenTelemetry support for metrics, tracing, and logging
Declarative infrastructure support with Bicep, Terraform, and Pulumi
Integrations with GitHub Actions, Azure Pipelines, Octopus Deploy
In .NET 10, we expect even tighter Dapr support, better diagnostics, and opinionated templates for microservice startup kits—ideal for platform teams and larger-scale SaaS builders.
C# continues to evolve without becoming bloated. Each release brings features that improve developer clarity, safety, and maintainability.
Expected features in C# 13 and beyond:
Lambda parameter default values
Partial method enhancements
Better pattern matching
Custom operators and meta-programming
More functional-style constructs without abandoning OO
C# is now one of the few languages that successfully blends object-oriented and functional paradigms, giving developers freedom to model complexity with elegance.
NuGet is one of the most active package ecosystems (over 300,000+ packages)
The .NET Foundation is growing rapidly, with dozens of supported OSS projects
Large-scale contributors include AWS, JetBrains, Red Hat, Intel, and dozens of open-source maintainers
Platforms like Stack Overflow, GitHub, and YouTube now host millions of .NET-related questions, examples, and tutorials
There’s also a growing nearshore and global .NET talent pool, especially in Latin America, Eastern Europe, and Southeast Asia.
This helps keep .NET development both cost-effective and scalable for global businesses.
Unlike other ecosystems that split into incompatible versions or are riddled with abandoned libraries, .NET has managed to:
Transition from Windows-only to cross-platform
Remain backward-compatible while innovating
Modernize without creating “legacy cliffs”
Attract both enterprise and OSS communities
.NET’s real superpower? It changes incrementally and intentionally, so companies don’t have to throw away years of investment to stay modern.
.NET in 2025 isn’t a legacy tool, it’s a modern, modular, and high-performance platform built to solve real business problems at scale.
From mission-critical SaaS backends to cross-platform apps and AI-augmented platforms, .NET has evolved into a versatile powerhouse that delivers performance, security, and maintainability, without locking you into a specific operating system or deployment model, with amazing features for Custom Software Development.
But great tech doesn’t mean universal fit.
Here’s the practical answer:
You’re building a backend-heavy application that needs to scale, integrate with complex business logic, and run 24/7.
Your team values strong architecture, type safety, and clean maintainable code.
You require high security and compliance standards (e.g., fintech, government, healthcare).
You want a long-term tech stack that won’t become obsolete in 2 years.
You’re deploying to a cloud-native environment with strong DevOps capabilities.
You have a skilled team, or access to talent—in C#/.NET, or you’re using nearshore partners who specialize in it.
You need to launch an MVP quickly and cheaply, with minimal infra and a lean stack.
Your entire business logic lives in the frontend, or your team is all-in on JavaScript.
You’re working with ultra-low latency, embedded, or bare-metal systems.
Your team has no .NET experience and is built around Python, Go, or Node.
.NET is no longer “just for Windows” or “just for enterprises.” It’s a future-proof platform with global adoption, an active open-source community, and a clear roadmap.
For companies that value reliability, security, long-term maintainability, and cross-platform reach, .NET is not just relevant, it’s a strategic advantage.
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