Converting .NET applications to Docker. Deploying them to Azure. Aspire does it all in just a few clicks.
.NET Aspire simplifies end-to-end integration testing for microservices by providing service orchestration, containerized environments, automatic service discovery, and real/ mock service swapping—all in a seamless test setup.
okay, let's dive into a detailed tutorial on combining .net aspire, semantic kernel, and potentially other technologies to build a modern, distributed, and ai-powered application. this will be a lengthy and informative guide, so buckle up!
Tired of “cloud-native” meaning “bloated code + 10 new tools”? .NET Aspire breaks the myth: cloud development can be simple, elegant, and even fun. Join this hands-on session for pragmatic developers ready to build cloud-first micro-services without burnout. Using real-world examples, you’ll design apps that are born scalable – with observability and auto-resilience baked in from the first commit.
In this talk, we'll explore how .NET Aspire combines opinionated patterns with infrastructure and app modeling to streamline modern .NET development. Using a real-world Pickleball App as a case study, we cover domain modeling with Azure Table Storage, REST APIs, frontend/backend design, automated testing, seed data, and AI-assisted development.
.NET Aspire 9.2 introduces a new way to view your application. A graphical view showing how the different pieces of your application fit together.
Microservices can mean dozens of projects running to make a single application. Aspire can keep everything under control.
Building Scalable Microservices with .NET Aspire, Generative AI, and OpenTelemetry Insights - Harry Kimpel
Azure Storage is a versatile cloud storage solution that I've used in many projects. In this post, I'll share my experience integrating it into a .NET Aspire project through two perspectives: first, by building a simple demo project to learn the basics, and then by applying those learnings to migrate a real-world application, AzUrlShortener.
Modernizing an app involves many paradigms like microservices, resiliency, serverless, AI, and cloud migration. Navigating these options and staying productive is challenging. You can't just "hit F5" to debug a modern app; you need expertise in Dockerfiles, cloud provisioning, and networking.