Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

💎 A collection of awesome training series, articles, videos, books, courses, sample projects, and tools for Microservices in .NET

🕸 Yet Another .NET Clean Architecture, but for Microservices project. It uses Minimal Clean Architecture with DDD-lite, CQRS-lite, and just enough Cloud-native patterns apply on the simple eCommerce sample and run on Tye with Dapr extension 🍻

Sample microservices solution in .NET Core 3.1 based on the cloud-agnostic approach

Sample using micro services in .NET Core 3.1 Focusing on clean code

Microservices sample architecture for .Net Core Application

The code sample from my microservices book - https://manning.com/books/microservices-in-net-core

Sample project for getting off the ground with ASP.NET Core, Docker and Microservices based on the tutorial: https://fullstackmark.com/post/12/get-started-building-microservices-with-asp.net-core-and-docker-in-visual-studio-code

This project is a sample of microservices architecture with .NET 8.

Microservices sample architecture using ASP.NET Core, Ocelot, MongoDB and JWT

Sample code to show microservices using NET, in the context of a cafe

Sample Application for Developing Microservices with .NET Core 2.1, RabbitMQ, SignalR, EF Core 2.1 and Angular 6

Sample cloud native application based on microservices architecture with backend running on .NET Core, Docker containers and Kubernetes

Sample app that learners can clone to follow along with how to build a .NET microservice's exercises

This demo shows a working sample of microservices architecture using ASP.NET Core. It covers how to create microservices, how to create API gateways using Ocelot, how to use MassTransit as distributed application framework, RabbitMQ as message broker, how to unit test microservices using xUnit, how to monitor microservices using health checks, and finally how to deploy microservices using Docker containers on Linux distributions.

Sample .NET code for microservices based on the CQRS pattern, using the Service Fabric platform.

Sample code for ASP.NET Core 3.1 Microservices. The full article is available at https://procodeguide.com/programming/microservices-asp-net-core/

Microservices on .Net platforms which used Asp.Net Web API, Docker, Kubernetes, RabbitMQ, MassTransit, Grpc, Ocelot API Gateway, MongoDB, Redis, SqlServer, Dapper, Entity Framework Core, CQRS and Clean Architecture implementation, Azure Pipelines, Azure Devops, AKS, ACR, Docker-Compose.

Sample microservice architecture using .NET Core, Docker, Azure and Kubernetes.

Fully functioning starter & finished sample code for my "Securing Microservices in ASP.NET Core 3" course

Sample application looking into observability of .NET microservices, using popular tools and technologies like OpenTelemetry, Prometheus, Grafana and (potentially) others

This is one sample microservice project developed by ASP.NET Core with Spring Cloud based on Steeltoe (http://steeltoe.io/).

Cross-platform .NET sample microservices and container based app template that showcases deployment on Azure PAAS services.

A sample code for a talk: Auth microservice with ASP.NET Core Identity and Duende IdentityServer

Prepare to Technical Skills Here are the essential skills that a Machine Learning Engineer needs, as mentioned Read me files. Within each group are topics that you should be familiar with. Study Tip: Copy and paste this list into a document and save to your computer for easy referral. Computer Science Fundamentals and Programming Topics Data structures: Lists, stacks, queues, strings, hash maps, vectors, matrices, classes & objects, trees, graphs, etc. Algorithms: Recursion, searching, sorting, optimization, dynamic programming, etc. Computability and complexity: P vs. NP, NP-complete problems, big-O notation, approximate algorithms, etc. Computer architecture: Memory, cache, bandwidth, threads & processes, deadlocks, etc. Probability and Statistics Topics Basic probability: Conditional probability, Bayes rule, likelihood, independence, etc. Probabilistic models: Bayes Nets, Markov Decision Processes, Hidden Markov Models, etc. Statistical measures: Mean, median, mode, variance, population parameters vs. sample statistics etc. Proximity and error metrics: Cosine similarity, mean-squared error, Manhattan and Euclidean distance, log-loss, etc. Distributions and random sampling: Uniform, normal, binomial, Poisson, etc. Analysis methods: ANOVA, hypothesis testing, factor analysis, etc. Data Modeling and Evaluation Topics Data preprocessing: Munging/wrangling, transforming, aggregating, etc. Pattern recognition: Correlations, clusters, trends, outliers & anomalies, etc. Dimensionality reduction: Eigenvectors, Principal Component Analysis, etc. Prediction: Classification, regression, sequence prediction, etc.; suitable error/accuracy metrics. Evaluation: Training-testing split, sequential vs. randomized cross-validation, etc. Applying Machine Learning Algorithms and Libraries Topics Models: Parametric vs. nonparametric, decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models, etc. Learning procedure: Linear regression, gradient descent, genetic algorithms, bagging, boosting, and other model-specific methods; regularization, hyperparameter tuning, etc. Tradeoffs and gotchas: Relative advantages and disadvantages, bias and variance, overfitting and underfitting, vanishing/exploding gradients, missing data, data leakage, etc. Software Engineering and System Design Topics Software interface: Library calls, REST APIs, data collection endpoints, database queries, etc. User interface: Capturing user inputs & application events, displaying results & visualization, etc. Scalability: Map-reduce, distributed processing, etc. Deployment: Cloud hosting, containers & instances, microservices, etc. Move on to the final lesson of this course to find lots of sample practice questions for each topic!

This workshop is for .NET developers who are interested in restructuring their legacy application into microservices. In this workshop you will apply the strangler fig pattern to extract multiple services from a sample monolithic application and re-implement them with modern AWS services.

Sample project to build Microservice architecture on .NET Core with gRPC

Here is the sample project that i'm writting for demo in my articles (Building logging system in Microservice Architecture with ELK stack and Serilog .NET Core) on Medium

A complete Service Fabric Application sample with a SPA Frontend in Sencha ExtJS, Ocelot API Gateway, Identity Server 4 and some Microservices using ASP.NET Core, ASP.NET 4 and Node.js in a Docker container

Using Netflix tools to create and manage microservices