Architecture

.NET Clean Architecture Guide: A Pragmatic Implementation Strategy

A practical playbook for applying Clean Architecture in .NET with real-world delivery pressure, evolving scope, and long-term maintenance cost in mind.

Architecture | Author: Kjarn | Published: 28 Mar 2026 | Updated: 30 Mar 2026 | Read time: 15 min read

Diagram representing layered .NET architecture flow

Why architecture increases speed

When boundaries are blurred under early delivery pressure, change cost grows every sprint. Architectural discipline creates medium-term velocity.

The real bottleneck is usually dependency direction, not the framework itself. Tight coupling to framework details multiplies maintenance time.

A pragmatic layer model

Domain keeps business rules, Application orchestrates use cases, and adapters translate HTTP and DTO shapes. This separation simplifies team decisions.

EF Core, cache, queue, and external SDKs stay in infrastructure so provider changes do not break the core.

Rules that scale across teams

Feature-based folders help new contributors understand the system faster and keep PR scope easier to review.

Keeping repository interfaces in Application and implementations in Infrastructure is a key rule for testability and safe change.

Making the dependency rule visible

The dependency rule should not live only in diagrams. Project references, namespace structure, and review checklists need to make it visible in daily development, or boundary leaks will grow silently.

Separating use-case inputs and outputs from domain objects reduces entity leakage and keeps business rules from accumulating in adapters. That discipline keeps change localized.

Refactoring without slowing delivery

Architectural improvement does not always require a rewrite. Feature-based slicing, strangler steps, and thin vertical increments can strengthen boundaries without stopping production delivery.

Each refactoring step needs a measurable outcome such as fewer dependencies, simpler use-case orchestration, or one less infrastructure concern in the core. That keeps architecture investment concrete.

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Detailed Insights

Each insight is structured around actionable steps and risk reduction.

Visual representing a legacy modernization roadmap

Modernization | Author: Kjarn | Published: 18 Feb 2026 | Updated: 24 Feb 2026 | Read time: 14 min read

Legacy Modernization Roadmap: Transition Without Stopping Operations

A phased modernization strategy for legacy systems that combines discovery, migration slices, rehearsal, and governance without big-bang rewrites.

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Visual representing API design and versioning flow

API Design | Author: Kjarn | Published: 12 Mar 2026 | Updated: 15 Mar 2026 | Read time: 12 min read

API Design Guide: Versioning, Idempotency, and Error Contracts

A practical approach to API versioning, idempotency, error contracts, and consumer onboarding for more predictable integrations.

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Visual representing .NET observability and telemetry flow

Observability | Author: Kjarn | Published: 26 Feb 2026 | Updated: 1 Mar 2026 | Read time: 12 min read

.NET Observability Guide: Logging, Metrics, Tracing, and OpenTelemetry

A practical observability model for .NET that combines logs, metrics, traces, sampling, and runbooks to shorten incident diagnosis and recovery.

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