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the-ultimate-guide-to-net-environment-variables-net/
Read more …the-ultimate-guide-to-net-environment-variables-net/Environment variables serve as dynamic configurations for applications, allowing for storage of sensitive information without hardcoding. This article covers setting and reading these variables in .NET across different operating systems, discusses security practices, and explains their application in CI/CD pipelines, enhancing flexibility, security, and environment management for developers.
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Easy Image Analysis with C# and LLaMA 3.2 Vision
Read more …: Easy Image Analysis with C# and LLaMA 3.2 VisionLLaMA 3.2 Vision, a cutting-edge AI model, allows C# developers to analyze images effortlessly using the Ollama Sharp wrapper. With simple code snippets, users can set up the tool, interact with a locally running model, and utilize machine learning for tasks like categorizing photo albums. Error handling ensures robustness during implementation.
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Distributed Tracing with OpenTelemetry in .NET: A Friendly Journey to End-to-End Microservices Visibility
Read more …: Distributed Tracing with OpenTelemetry in .NET: A Friendly Journey to End-to-End Microservices VisibilityThe content discusses the challenges of microservices, particularly tracking requests and diagnosing issues. It introduces OpenTelemetry as an open-source observability framework to enable distributed tracing in .NET applications. The article outlines setup steps and highlights the benefits of tracking requests, identifying bottlenecks, and resolving errors in microservice architectures.
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Building Resilient Microservices with Polly: Mastering Retries, Circuit Breakers, and Bulkhead Isolation
Read more …: Building Resilient Microservices with Polly: Mastering Retries, Circuit Breakers, and Bulkhead IsolationThe article highlights the importance of resilience in .NET microservices and introduces Polly, an open-source library designed to enhance fault tolerance. It covers key features like retry policies, circuit breakers, and bulkhead isolation, providing practical examples to demonstrate how these tools prevent system failures and ensure smooth operations in real-world scenarios.
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Advanced Garbage Collection Tuning: How to Keep Your .NET Core API Fast and Furious
Read more …: Advanced Garbage Collection Tuning: How to Keep Your .NET Core API Fast and FuriousGarbage collection (GC) in .NET Core can slow down applications if not properly managed. Tuning GC settings, especially by switching to Server GC and adjusting latency modes, helps improve performance. Use LowLatency mode selectively for critical tasks. Experimentation is crucial for optimizing throughput and latency in high-load scenarios.
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Building Rock-Solid Business Logic and Validation Rules in .NET Workflows
Read more …: Building Rock-Solid Business Logic and Validation Rules in .NET WorkflowsThis content discusses implementing business logic and validation rules in .NET applications, particularly for an order processing system. It covers creating domain models, applying FluentValidation for validation, using the specification pattern for business rules, and orchestrating workflows, all while emphasizing maintainability and testability of code.
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Avoid AutoMapper, Using GitHub Copilot to Map Entities and DTOs in C#
Read more …: Avoid AutoMapper, Using GitHub Copilot to Map Entities and DTOs in C#This tutorial discusses mapping between entities and Data Transfer Objects (DTOs) in modern .NET applications, using GitHub Copilot for manual mapping as an alternative to AutoMapper. It highlights the trade-offs of AutoMapper, such as reduced control and performance costs, while emphasizing the benefits of manual mapping including improved performance, control, and easier debugging.
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Boost .NET 8 Performance with Native AOT
Read more …: Boost .NET 8 Performance with Native AOTNative Ahead-of-Time (AOT) compilation in .NET 8 enhances application performance by transforming managed code into native executables before runtime, leading to faster startup, reduced memory usage, and smaller deployment sizes. However, it introduces trade-offs, such as limited reflection support and increased build times, necessitating careful consideration for specific use cases.
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Data-Oriented vs. Domain-Oriented: Should DDD Be the Default for All Projects?
Read more …: Data-Oriented vs. Domain-Oriented: Should DDD Be the Default for All Projects?Domain-Driven Design (DDD) is valuable for complex business scenarios, promoting collaboration between developers and domain experts. However, simpler data-oriented designs suffice for straightforward applications, tight deadlines, and stable domains. The choice hinges on project complexity, stakeholder involvement, and predicted domain evolution, emphasizing the need for balanced, pragmatic software architecture.











