基于SpringCloud2.1的微服务开发脚手架，整合了spring-security-oauth2、nacos、feign、sentinel、springcloud-gateway等。服务治理方面引入elasticsearch、skywalking、springboot-admin、zipkin等，让项目开发快速进入业务开发，而不需过多时间花费在架构搭建上。持续更新中

Spring cloud Example

Spring Cloud Finchley版 微服务实践教程

使用 Kotlin 语言编写，基于 Spring Cloud 的微服务架构。该项目是前后端分离中的"后端部分"

Microservices demo using Spring Boot, Spring Cloud Config, Eureka, Feign, Hystrix and Zipkin.

Creating microservices using Spring Boot, Service registry using Consul, Netfix Zuul as API Gateway with Spring Security using JWT Token and ELK Stack on Docker and Docker Compose

simple-microservice-framework with distributed configuration,API gateway with spring security oauth2 protection. Feign+Zuul+Hystrix+Zipkin+Oauth2(mutilple mode)

Spring Cloud Sleuth and Zipkin sample to demonstrate distributed tracing for Microservices

This repository contains some spring-cloud playground projects

Demo of Zipkin with Spring Boot

Example code used for Spring-Cloud training.

spring cloud: microservices-security, from Zero To One

Aashayein - Online Shopping Admin Panel (MicroServices)

example how to do distributed tracing in a microservice environment

e-assignment microservices

Distributed tracing infrastructure with Zipkin, Kafka and Cassandra

A Spring Boot web server suite orchestrated by Docker-Compose to display the Distributed Tracing framework of Spring Sleuth and Zipkin Stream Server.

spring cloud consul demo

This project contains samples demonstrating the microservices tracing using zipkin

Spring Cloud Microservices Log Tracing example using Sleuth and Zipkin

Currency Conversion Cloud Native App with API Gateway Server, Naming Server, Config Server and Distributed Tracing and ELK Stack.

spring cloud demos with gradle

This repo will help you in implementing micro-services using spring cloud - Netflix oss stack.

Realtime Stocks demo

microservices-experiments

Implementation of Zipkin-Sleuth in Java SpringBoot

Spring Cloud Sleuth Zipkin Microservice Log Tracing Server using Spring Boot and Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

The purpose of this project is to demonstrate the usage of spring cloud stack and some of the microservices patterns

A Microservice stack example using Netflix OSS