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Original link address: "Advanced article" docker DockerSwarm adjustment of micro-services and service configuration (29)

Last time, we have set up a cluster environment for swarm. There are three virtual machines in server01,server02,server03, and each manager node is also a work node. First of all, we consider the discovery of services. From the perspective of micro services, we have services for other services, such as message service,user service. For swarm, some need to expose ports to other services, and some can be accessed directly through the service name. Modify the mode, modify the code, and then upload it to the image warehouse. Finally, configure a docker stack to write out their relationship, and a command is done. Source code: https://github.com/limingios/msA-docker swarm branch

Modify the configuration of micro-service course-dubbo-service

Sh

#! / usr/bin/env bash

Source / .bash_profile

Mvn package

Docker build-f. / Dockerfile-hub-t zhugeaming/course-dubbo-service:latest.

Docker push zhugeaming/course-dubbo-service:latest

> Dockerfile```bashFROM java:openjdk-8MAINTAINER liming www.idig8.comCOPY target/course-dubbo-service-1.0-SNAPSHOT.jar / course-dubbo-service.jarENTRYPOINT ["java", "- jar", "/ course-dubbo-service.jar"] course-edge-service

Sh

#! / usr/bin/env bash

Source / .bash_profile

Mvn package

Docker build-f. / Dockerfile-hub-t zhugeaming/course-edge-service:latest.

Docker push zhugeaming/course-edge-service:latest

> Dockerfile```bashFROM java:openjdk-8MAINTAINER liming www.idig8.comCOPY target/course-edge-service-1.0-SNAPSHOT.jar / course-edge-service.jarENTRYPOINT ["java", "- jar", "/ course-edge-service.jar"] gataway-zuul

Sh

#! / usr/bin/env bash

Source / .bash_profile

Mvn package

Docker build-f. / Dockerfile-hub-t zhugeaming/gataway-zuul:latest.

Docker push zhugeaming/gataway-zuul:latest

> Dockfile```bashFROM java:openjdk-8MAINTAINER liming www.idig8.comCOPY target/gataway-zuul-1.0-SNAPSHOT.jar / gataway-zuul.jarENTRYPOINT ["java", "- jar", "/ gataway-zuul.jar"] user-edge-service

Sh

#! / usr/bin/env bashsource ~ / .bash_profilemvn packagedocker build-f. / Dockerfile-hub-t zhugeaming/user-edge-service:latest .docker push zhugeaming/user-edge-service:latest

Dockerfile

#! / usr/bin/env bashsource ~ / .bash_profilemvn packagedocker build-f. / Dockerfile-hub-t zhugeaming/user-edge-service:latest .docker push zhugeaming/user-edge-service:latestuser-thrift-service

Sh

#! / usr/bin/env bashsource ~ / .bash_profilemvn packagedocker build-f. / Dockerfile-hub-t zhugeaming/user-thrift-service:latest .docker push zhugeaming/user-thrift-service:latest

Dockerfile

FROM java:openjdk-8MAINTAINER liming www.idig8.com

COPY target/user-thrift-service-1.0-SNAPSHOT.jar / user-thrift-service.jar

ENTRYPOINT ["java", "- jar", "/ user-thrift-service.jar"]

* write yml files and use docker stack to generate batch ````ymlversion: "3.4" services: message-thrift-python-service: image: zhugeaming/message-thrift-python-service:latest deploy: endpoint_mode: dnsrr resources: limits: cpus: "0.2" memory: "128m" user-thrift-service: image: zhugeaming/user-thrift-service:latest deploy : endpoint_mode: dnsrr resources: limits: cpus: "0.2m" memory: "512m" user-edge-service: image: zhugeaming/user-edge-service:latest deploy: endpoint_mode: vip resources: limits: cpus: "0.2m memory:" 512m "ports: -" 8082cpus 8082 "depends_on:-user-thrift-service-message-thrift-python-service course-dubbo-service: image: zhugeaming/user-edge-service:latest deploy: endpoint_mode: dnsrr resources: limits: cpus:" 0.2m memory: "512m" depends_on:-user-thrift-service course-edge-service: image: zhugeaming/course-edge-service : latest deploy: endpoint_mode: vip resources: limits: cpus: "0.2m" memory: "512m" ports:-"8081cpus 8081" depends_on:-user-edge-service gateway-zuul: image: zhugeaming/gataway-zuul:latest deploy: endpoint_mode: vip resources: limits: cpus: "0 .2 "memory:" 512m "ports: -" 8080user-edge-service 8080 "depends_on:-user-edge-service-course-edge-servicenetworks: default: external: name: idig8-overlay

Docker stack creation, because the machine memory is too small, I still use the public network, download the image is a bit slow.

Docker stack deploy-c ms-service.yml msdocker stack services ms

PS: successfully created, the next step is to debug the microservice.

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