09docker布署es+kibana

09docker布署es+kibana

docker 布署es+kibana

es是一个日志切割管理的工具

kibana是es的一个可视化控制台

# es暴露的端口很多!
# es 十分的耗内存
# es的数据一般需要放置到安全目录!挂载
#--net somenetwork ?网络配置

$ docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:7.6.2

# 本地测试
[root@MyCould ~]# curl localhost:9200
{
  "name" : "0fee267c6052",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "L0SE5gXsRm-zIOvYTuKzUg",
  "version" : {
    "number" : "7.6.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "ef48eb35cf30adf4db14086e8aabd07ef6fb113f",
    "build_date" : "2020-03-26T06:34:37.794943Z",
    "build_snapshot" : false,
    "lucene_version" : "8.4.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}
[root@MyCould ~]# 


#赶紧关闭,增加内存的限制


# 启动后就很卡： docker stats  查看cpu的状态
 dockers stats       # 显示容器资源使用统计信息的实时流 查看cpu状态
 

.

非常的消耗内存

# 赶紧关闭，增加内存的限制，修改配置文件 -e 环境配置修改【限制最小内存64m与最大内存512m】
$ docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms64m -Xmx512m" elasticsearch:7.6.2

.

[root@MyCould ~]# curl localhost:9200
{
  "name" : "623dfd682923",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "RtMN_c8iSpi3COVmub87iw",
  "version" : {
    "number" : "7.6.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "ef48eb35cf30adf4db14086e8aabd07ef6fb113f",
    "build_date" : "2020-03-26T06:34:37.794943Z",
    "build_snapshot" : false,
    "lucene_version" : "8.4.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}
[root@MyCould ~]# 

作业: 使用kibana连接es ? 思考网络如果才能连接过去 !

.