
Explore how F# and serverless tech optimize fuel efficiency in nautical transport, reducing carbon footprint through AI-driven predictions and cloud-based solutions.

Explore outside-in testing for microservices, focusing on service boundaries and contract-first TDD. Learn to build more flexible, operable software with improved confidence in deployments.

Explore serverless computing with .NET and AWS Lambda, covering key concepts, scalability, API integration, and cost-effectiveness for efficient cloud-based solutions.

Explore the architecture of JetBrains Rider IDE, including its reactive protocol, microservices communication, and integration with tools like Unity3D. Dive into the technical details of how modern IDEs are built and wired together.

Explore advanced uses of expression trees in .NET for metaprogramming, code generation, and automating tasks. Learn to scaffold data grids and web forms, improve performance, and reduce boilerplate code.

Explore strategies to mitigate security risks from third-party dependencies in .NET Core, including compartmentalization and API review, to enhance application safety and reduce vulnerabilities.

Explore building voice assistant skills for Alexa, Google Home, and Cortana using .NET. Learn platform basics, capabilities, and create cross-platform skills with C# or F#.

Explore challenges in tracking logs and debugging in microservices architecture. Learn about clock synchronization issues, happened-before relation, vector clocks, and correlation IDs to introduce meaningful order in distributed systems.

Learn to solve coordination problems in stateless .NET services using Redis Pub/Sub, focusing on distributed locks to prevent concurrent expensive computations and improve scalability.

Explore GraphQL in .NET Core: advantages, implementation, and comparison with REST APIs. Learn how GraphQL can optimize data fetching and improve client-server communication efficiency.

Discover how to integrate machine learning into .NET applications using ML.NET and Microsoft tools. Learn ML basics and start applying it to your projects without extensive data science knowledge.

Explore Azure AD's Service Principals and Managed Identities to enhance application security, eliminate secrets in code, and simplify deployment across various tools and languages.

Explore game development with MonoGame and .NET, covering game loops, rendering, asset management, collision detection, and input handling. Learn to build cross-platform games using a custom 2D engine.

Advanced .NET Core dependency injection techniques, covering complex topics like avoiding multiple registrations, resolving conflicts, and improving performance for experienced developers.

Exploring Azure managed services for efficient cloud migration, focusing on pros and cons of SignalR, Redis, SQL Azure, and application gateways to enhance scalability and reduce operational overhead.

Explore the concept of creating a .NET runtime in .NET itself, delving into design fundamentals, JIT compilation, and metadata handling for a deeper understanding of runtime internals.

Learn to build and control a Raspberry Pi-powered robot arm using .NET 5, Blazor, and SignalR. Explore GPIO control, servo movement, and remote operation through a web interface.

Learn to apply Domain-Driven Design principles with EF Core, focusing on tactical patterns and crafting cohesive domain models for both new and existing projects without compromising your design.

Explore machine learning basics and learn to integrate ML.NET into .NET applications, making AI accessible for developers without requiring extensive data science knowledge.

Gradual migration strategy for ASP.NET apps to ASP.NET Core using reverse proxy, allowing page-by-page transition while maintaining functionality. Ideal for large, complex applications needing modernization.

Discover simplified automated testing with Clean Architecture in .NET Core. Learn about unit, integration, and subcutaneous tests, tools, frameworks, and where to focus your efforts for effective testing.