jhipster請自行查閱是什麼。
elk的官網下載地址就不說了，自行去官網下載，注意3個的版本要保持一致。
win 10的docker和docker-compose安裝請自行安裝，不會的可以搜索我的相關博客。
下面直接上yaml文件：這個yaml文件是在官網上下載的，大家也可與去自行下載。
# Production ready docker configuration
version: '2'
services:
jhipster-elasticsearch:
image: jhipster/jhipster-elasticsearch:latest
ports:
- 9200:9200
- 9300:9300
# Uncomment this as well as the volume section down below
# to have elasticsearch data persisted to a volume
# you will need to create a named volume with `docker volume create log-data`
#volumes:
# - log-data:/usr/share/elasticsearch/data
jhipster-logstash:
image: jhipster/jhipster-logstash:latest
environment:
- INPUT_TCP_PORT=5000
- INPUT_UDP_PORT=5000
- INPUT_HTTP_PORT=5001
- ELASTICSEARCH_HOST=jhipster-elasticsearch
- ELASTICSEARCH_PORT=9200
- LOGSTASH_DEBUG=false
ports:
- 5000:5000
- 5000:5000/udp
- 5001:5001
# Uncomment this section and add a logstash.conf file in log-conf/
# to have logstash config loaded from a volume
#volumes:
# - ./log-conf/:/usr/share/logstash/pipeline/
jhipster-console:
image: jhipster/jhipster-console:latest
ports:
- 5601:5601
#environment:
# - ELASTICSEARCH_URL=http://jhipster-elasticsearch:9200
jhipster-import-dashboards:
image: jhipster/jhipster-import-dashboards:latest
environment:
- ELASTICSEARCH_URL=http://jhipster-elasticsearch:9200
depends_on:
- jhipster-elasticsearch
jhipster-curator:
image: jhipster/jhipster-curator:latest
environment:
- ES_HOST=jhipster-elasticsearch
- ES_PORT=9200
- UNIT_COUNT=14
- UNIT=days
jhipster-alerter:
image: jhipster/jhipster-alerter:latest
environment:
- ES_HOST=jhipster-elasticsearch
- ES_PORT=9200
volumes:
- ../alerts/rules/:/opt/elastalert/rules/
- ../jhipster-alerter/config.yaml:/opt/elastalert/config.yaml
jhipster-zipkin:
image: jhipster/jhipster-zipkin:latest
environment:
- ES_HOSTS=http://jhipster-elasticsearch:9200
# Change localhost:5601 by the URL by which your client access Kibana
- ZIPKIN_UI_LOGS_URL=http://localhost:5601/app/kibana#/discover/d0682f20-e0e9-11e7-9c68-0b9a0f0c183c?_g=(refreshInterval:(display:Off,pause:!f,value:0),time:(from:now-30d,mode:quick,to:now))&_a=(columns:!(X-B3-TraceId,app_name,level,message),filters:!(('$state':(store:appState),meta:(alias:!n,disabled:!f,index:'logs-*',key:X-B3-TraceId,negate:!f,params:(query:'trace',type:phrase),type:phrase,value:'trace'),query:(match:(X-B3-TraceId:(query:'{traceId}',type:phrase))))),index:'logs-*',interval:auto,query:(language:lucene,query:''),sort:!('@timestamp',desc))
ports:
- 9411:9411
# Uncomment to use the log-data volume
# volumes:
# log-data:
# driver: local
當前目錄，直接 docker-compose up -d 即可
啓動不報錯之後，直接訪問：localhost:5601
下面是你的jhipster的骨架微服務項目裏的logstash記得打開，熟悉改爲true，然後你的代碼裏就可以往elk裏寫入日誌了
啓動 微服務的demo之後，可與看到訪問的日誌。