Navigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and various architectural patterns. Go beyond the one-size-fits-all solutions and understand how to blend these approaches based on your unique needs.

Micronaut Application Framework

Shortlink service (Microservice example) ⭐️ Star the repo if you like it!

Encore is the Backend Development Platform purpose-built to help you create event-driven and distributed systems.

Build GraphQL as the speed of thought

External configuration (server and client) for Spring Cloud

MiniSpace Distributed .Net Blazor WebAssembly solution

A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

Backstage is an open framework for building developer portals

It's a Quiz application implementing Service registry and API Gateway

Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

Collection of services to compute and present financial positions

Your ultimate Go microservices framework for the cloud-native era.

A Full Stack application with Next.js 14 Frontend (App shell and Micro frontends), Java and Python microservices, Kafka based Chat, Nginx load balancer and reverse proxy, OpenStreetMap, OpenAI ChatGPT and Jira integrations.

Production-ready C++ Asynchronous Framework with rich functionality

ASP.NET Core MVC 7.0, API.Inspecciones for EOS 3.0

A cloud-native Go microservices framework with cli tool for productivity.

A curated list of Microservice Architecture related principles and technologies. With repository stars⭐ and forks🍴

AIOrchestra is a microservice-based application featuring an event-driven architecture. It provides personalized song recommendations using a custom-trained ML model with .NET Core, Kafka, Docker, and TensorFlow.