This is a feed of links I've run across and found interesting or noteworthy. The images, content and opinions in them are owned by their respective authors.
The article discusses conflicts between bus drivers and conductors, highlighting the dynamics of schedules and fare collection as lessons in overcoming challenges.
bus, conflict, drivers, conductors, scheduling
Explore using C# for machine learning in Amazon SageMaker, leveraging your existing .NET skills in an AI environment dominated by Python.
.NET, Amazon Bedrock, Amazon SageMaker, Machine Learning
.NET Aspire facilitates building cloud-ready applications, enabling orchestration in local environments for running and debugging diverse components like .NET projects, databases, and containers.
.NET, AWS, Cloud, Development, Orchestration
Explore how .NET Aspire, a true multi-cloud development platform, simplifies building, deploying, and managing applications across various cloud environments.
.NET, Aspire, AWS
Revisiting 'Moving Beyond Enums' due to the loss of previous article images. This article explores alternatives for enums in C#.
C#, Enums, Alternatives, Software Development
Explore Microsoft.Extensions.AI for seamless integration of LLMs in .NET apps, switching providers effortlessly while running LLMs locally using Ollama through practical examples.
LLM, .NET, Microsoft.Extensions.AI, Ollama, integration, software development
AWS .NET OpenTelemetry libraries provide a standardized observability solution for telemetry data, crucial for modern software development insights.
AWS .NET, OpenTelemetry, Observability, Telemetry Data
This article discusses misconceptions of equating traditional layered architectures with Domain-Driven Design and suggests how feature modules can maintain domain cohesion.
Layered Architectures, Domain-Driven Design, Feature Modules
Explore the Rules Engine Pattern in C# to simplify complex conditional logic, functioning as a behavioral design pattern based on a Pluralsight course.
C#, Design Patterns, Rules Engine, Behavioral Pattern
Explores two innovative paradigms in data architecture: Data Mesh and Data Fabric, focusing on managing enterprise data at scale.
Data Mesh, Data Fabric, Data Architecture, Data Management