2529 Open source projects that are alternatives of or similar to Pitstop

CQRS implementation in ASP.NET Core using MediatR in .NET 5

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.NET 5 / .NET Core 3.1 WebAPI + Vue 2.0 + RBAC 企业级前后端分离权限框架

💨A well crafted go packages that help you build robust, reliable, maintainable microservices.

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Ecommerce SPA application with a microservices architecture implemented from scratch. Tech stack - Docker, Consul, Fabio, RabbitMQ, .Net Core, Mediatr, CQRS, React, Redux. .NET Core Microservices template, .NET React Redux, .NET RabbitMQ, .NET Distributed, Docker, .NET Core with Docker.

The service mesh operator.

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CQRS backbone with event sourcing for Node.js

EventStorming workshop, this is a hands-on workshop. Contains such topics: DDD, Event storming, Specification by example. Including the AWS product : Serverless Lambda , DynamoDB, Fargate, CloudWatch.

Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.

The core data source combination engine of GrAMPS.

It is a NGINX module that provides dynamic linking to your application in server context and call the function of your application in location directive

https://github.com/alirizaadiyahsi/Nucleus Web API layered architecture startup template with ASP.NET Core 2.1, EF Core 2.1 and Vue Client

A curated list of awesome System Design (A.K.A. Distributed Systems) resources.

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KrakenD Community Edition. Make your binary of KrakenD API Gateway

微服务框架，同时也适用于单体架构系统的开发。支持经典三层与DDD架构开发模式、集成了一系列主流稳定的微服务配套技术栈。一个前后端分离的框架，前端基于Vue、后端基于.Net Core 3.1构建。

A full microservice project using Spring and many others tools

Golang client for NATS, the cloud native messaging system.

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A set of libraries for rapidly developing Pipeline driven micro/macroservices.

Lab scenarios for learning how to service mesh.

Domain-driven design example in Java with Spring framework

Kafka Examples focusing on Producer, Consumer, KStreams, KTable, Global KTable using Spring, Kafka Cluster Setup & Monitoring. Implementing Event Sourcing and CQRS Design Pattern using Kafka

Terraform template for a production ready EKS Cluster and ISTIO Service Mesh 🐳 📦 🚀

Springy Store is a conceptual simple μServices-based project using the latest cutting-edge technologies, to demonstrate how the Store services are created to be a cloud-native and 12-factor app agnostic. Those μServices are developed based on Spring Boot & Cloud framework that implements cloud-native intuitive, design patterns, and best practices.

A talk on Istio and related demos

Event sourcing toolkit

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"None Of The Above" - is going to be a secure online voting system, intended to give the electorate better choices. It always adds one additional choice to anything to be voted on: If more than 50% of voters choose "None of the Above", the election is considered null and void.

Event Sourcing(CQRS) and Materialized views with Kafka Streams

Istio官方文档中文版

Using Spring Cloud Stream and Spring State Machine to create event-driven microservices

Istio is an open platform that provides a uniform way to connect, manage, and secure microservices. In this code we show how we can enable your microservices with advanced traffic management, routing and tracing capabilities leveraging Istio

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Example DDD/CQRS based on Implementing Domain Driven Design book written by Vaughn Vernon

This reference architecture walks you through the decision-making process involved in designing, developing, and delivering a serverless application using a microservices architecture through hands-on instructions for configuring and deploying all of the architecture's components along the way. The goal is to provide practical hands-on experience in working with several Azure services and the technologies that effectively use them in a cohesive and unified way to build a serverless-based microservices architecture.

Purely functional concurent and scalable persistance layer implementing CQRS

CharlesCD is an open source tool that makes deployments more agile, continuous and safe, which allows development teams to perform hypothesis validations with a specific group of users, simultaneously.

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