reservation-ms

Project demonstrates microservices architecture with the Spring Cloud stack. The idea behind is to concentrate on microservices infrastructure rather then business logic. Simple reservation system used as a use case for the surrounding system.

Tech stack

Spring HATEOAS
Spring Boot
Spring Actuator
Spring Cloud Stream (RabbitMQ as broker)
Spring Cloud Config Server
Spring Cloud Netflix
- Service Discovery (Eureka)
- Circuit Breaker (Hystrix)
- Client Side Load Balancing (Ribbon)
- Intelligent Routing (Zuul)
Spring Cloud Sleuth
Zipkin
ELK stack
Spring Boot Admin server

Architecture overivew

Spring Boot - as services engine
Spring Cloud Config Server - externalized configuraiton for services and tools
Service Registry and Discovery - Netflix Eureka-based service registry
API Geteway - Netflix Zuul
Services monitoring - String actuator endpoints, admin server
Circuit Breaker - Hystrix Circuit Breaker, Hystrix dashboard
Distributed Tracing - using Spring Cloud Sleuth with Zipkin
Logging - Elasticsearch, Logstash, Kibana

Services description

config-server
eureka-server
hystrix-dashboard
reservation-service
reservation-client

Build instructions

git clone https://github.com/Rolan2772/reservation-ms.git
cd reservation-ms
mvn clean install -DskipTests

Run instructions (UNIX)

gnome-terminal -e 'sh -c "java -jar config-server/target/config-server-0.0.1-SNAPSHOT.jar; exec bash"'
gnome-terminal -e 'sh -c "java -jar eureka-server/target/eureka-server-0.0.1-SNAPSHOT.jar; exec bash"'
docker run -d --hostname my-rabbit --name some-rabbit -p 15672:15672  -p 5672:5672 rabbitmq:3-management
gnome-terminal -e 'sh -c "java -jar reservation-service/target/reservation-service-0.0.1-SNAPSHOT.jar; exec bash"'
gnome-terminal -e 'sh -c "java -jar reservation-client/target/reservation-client-0.0.1NAPSHOT.jar; exec bash"'
docker run -d -p 9411:9411 openzipkin/zipkin
gnome-terminal -e 'sh -c "java -jar hystrix-dashboard/target/hystrix-dashboard-0.0.1-SNAPSHOT.jar; exec bash"'
docker run -d -it --name es -p 9200:9200 -p 9300:9300 elasticsearch
docker run -d -it --name kibana --link es:elasticsearch -p 5601:5601 kibana
docker run -d -it --name logstash -p 5000:5000 logstash -e 'input { tcp { port => 5000 codec => "json" } } filter { grok { match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" } } }  output { elasticsearch { hosts => ["10.7.10.98"] index => "ms-%{service}"} stdout {} }'