Rsyslog+kafka+ELK(集群)部署

原文链接： http://www.suixinl.top/index.php/archives/39/

目前公司做等保，需要有日志审计，初步考虑使用rsyslog把所有服务器的日志收集起来。同时考虑到我们运维过程中也要查询日志，要把rsyslog收集的日志可以统一界面来查询使用
收集的日志类型：系统日志，mysql日志，防火墙，waf，F5日志，sftp，smtp日志等
开源产品：Rsyslog、Kafka、ELK
处理流程为：Vm Rsyslog--> Rsyslog Server --omkafka--> Kafka --> Logstash --> Elasticsearch --> Kibana
ps：omkafka模块在rsyslog v8.7.0之后的版本才支持

环境：

Server	IPADDR	Applicaiton
ELK Node1	10.10.27.125	zookeeper kafka elasticsearch logstash kibana
ELK Node1	10.10.27.126	zookeeper kafka elasticsearch logstash
ELK Node1	10.10.27.127	zookeeper kafka elasticsearch logstash
Rsyslog server	10.10.27.121	Rsyslog server
Rsyslog Node	10.10.27.122	Rsyslog client

1、安装docker和docker-compose

本人使用的是RHEL系统,使用redhat的extras源安装docker

yum install -y docker
wget https://github.com/docker/compose/releases/download/1.25.5/docker-compose-Linux-x86_64
mv docker-compose-Linux-x86_64 /usr/bin/docker-compose

2、拉取需要用到的镜像

docker pull zookeeper:3.4.13
docker pull wurstmeister/kafka
docker pull elasticsearch:7.7.0
docker pull daocloud.io/library/kibana:7.7.0
docker pull daocloud.io/library/logstash:7.7.0
docker tag wurstmeister/kafka:latest kafka:2.12-2.5.0
docker tag docker.io/zookeeper:3.4.13 docker.io/zookeeper:3.4.13
docker tag daocloud.io/library/kibana:7.7.0 kibana:7.7.0
docker tag daocloud.io/library/logstash:7.7.0 logstash:7.7.0

3、准备应用的配置文件

mkdir -p /data/zookeeper
mkdir -p /data/kafka
mkdir -p /data/logstash/conf
mkdir -p /data/es/conf 
mkdir -p /data/es/data
chmod 777 /data/es/data
mkdir -p /data/kibana

~]# cat /data/es/conf/elasticsearch.yml 
cluster.name: es-cluster
network.host: 0.0.0.0
node.name: master1    #每台节点需要更改此node.name,e.g master2,master3
http.cors.enabled: true
http.cors.allow-origin: "*"
node.master: true
node.data: true
network.publish_host: 10.10.27.125      #每台节点需要更改为本机IP地址
discovery.zen.minimum_master_nodes: 1
discovery.zen.ping.unicast.hosts: ["10.10.27.125","10.10.27.126","10.10.27.127"]
cluster.initial_master_nodes: ["10.10.27.125","10.10.27.126","10.10.27.127"]

~]# cat /data/logstash/conf/logstash.conf 
input{
   kafka{
        topics => ["system-log"]   #必须与rsyslog的topic统一
        bootstrap_servers => ["10.10.27.125:9092,10.10.27.126:9092,10.10.27.127:9092"]
    }
}
output{
    elasticsearch {
        hosts => ["10.10.27.125:9200","10.10.27.126:9200","10.10.27.127:9200"]
        index => "system-log-%{+YYYY.MM.dd}"
        }
   stdout {
    codec => rubydebug
  }
}

~]# cat /data/kibana/conf/kibana.yml 
#
# ** THIS IS AN AUTO-GENERATED FILE **
#

# Default Kibana configuration for docker target
server.name: kibana
server.host: "0.0.0.0"
elasticsearch.hosts: [ "http://10.10.27.125:9200","http://10.10.27.126:9200","http://10.10.27.127:9200" ]
monitoring.ui.container.elasticsearch.enabled: true

 

4、编辑docker-compose.yml配置

~]# mkdir /data/elk
~]# cat /data/elk/docker-compose.yml
version: '2.1'   #必须2.1往上，不然会报版本格式错误
services:
  elasticsearch:
    image: elasticsearch:7.7.0
    container_name: elasticsearch
    environment:
      ES_JAVA_OPTS: -Xms1g -Xmx1g
    network_mode: host
    volumes:
      - /data/es/conf/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
      - /data/es/data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
  kibana:
    image: kibana:7.7.0
    container_name: kibana
    links:
      - elasticsearch
    depends_on:
      - elasticsearch   #kibana在elasticsearch启动之后再启动
    volumes:
      - /data/kibana/conf/kibana.yml:/usr/share/kibana/config/kibana.yml
    ports:
      - 5601:5601
  logstash:
    image: logstash:7.7.0
    container_name: logstash
    volumes:
      - /data/logstash/conf/logstash.conf:/usr/share/logstash/pipeline/logstash.conf
    depends_on:
      - elasticsearch
    links:
      - elasticsearch:es
    ports:
      - 4560:4560

  zookeeper:
    image: zookeeper:3.4.13
    container_name: zookeeper
    environment:
      ZOO_PORT: 2181
      ZOO_DATA_DIR: /data/zookeeper/data
      ZOO_DATA_LOG_DIR: /data/zookeeper/logs
      ZOO_MY_ID: 1    #三台机器做集群的话，其他2台需要更改此ID，e.g 2,3
      ZOO_SERVERS: "server.1=10.10.27.125:2888:3888 server.2=10.10.27.126:2888:3888 server.3=10.10.27.127:2888:3888"
    volumes:
      - /data/zookeeper:/data/zookeeper
    network_mode: host
    ports:
      - 2181:2181
  
  kafka:
    image: kafka:2.12-2.5.0
    container_name: kafka
    depends_on:
      - zookeeper
    environment:
      KAFKA_BROKER_ID: 1  #kafka 的 broker 集群标识, 每台节点 broker 不一样，其他2台更改此ID
      KAFKA_PORT: 9092
      KAFKA_HEAP_OPTS: "-Xms1g -Xmx1g"
      KAFKA_HOST_NAME: 10.10.27.125        #其他2台更改为自己IP地址
      KAFKA_ADVERTISED_HOST_NAME: 10.10.27.125    #其他2台更改为自己IP地址
      KAFKA_LOG_DIRS: /data/kafka
      KAFKA_ZOOKEEPER_CONNECT: 10.10.27.125:2181,10.10.27.126:2181,10.10.27.127:2181
    network_mode: host
    volumes:
      - /data:/data

5、部署ELK

#开始部署(三台节点分别修改配置文件和docker-compose配置)
~]# docker-compose up -d
#停止运行的容器实例
~]# docker-compose stop
#单独启动容器
~]# docker-compose up -d kafka

6、验证集群状态

(1) 验证zookeeper：

]# docker exec -it zookeeper bash
bash-4.4# zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /conf/zoo.cfg
Mode: follower

(2) 验证kafka：

]# docker exec -it kafka bash
bash-4.4# kafka-topics.sh --list --zookeeper 10.10.27.125:2181
__consumer_offsets
system-log

(3) 验证elasticsearch

]# curl '10.10.27.125:9200/_cat/nodes?v'
ip            heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
10.10.27.126           57          81   0    0.37    0.15     0.09 dilmrt    *      master2
10.10.27.125           34          83   0    0.11    0.10     0.06 dilmrt    -      master1
10.10.27.127           24          81   0    0.03    0.06     0.06 dilmrt    -      master3

(4) 验证kibana

浏览器打开http://10.10.27.125:5601

7、部署rsyslog把日志导入ELK

(1) rsyslog服务端

~]# cat /etc/rsyslog.conf 
# Provides UDP syslog reception
$ModLoad imudp
$UDPServerRun 514

# Provides TCP syslog reception
$ModLoad imtcp
$InputTCPServerRun 514

~]# cat /etc/rsyslog.d/default.conf
#### GLOBAL DIRECTIVES ####
# Use default timestamp format  # 使用自定义的日志格式
$ActionFileDefaultTemplate RSYSLOG_TraditionalFileFormat
$template myFormat,"%timestamp% %fromhost-ip% %syslogtag% %msg%\n"
$ActionFileDefaultTemplate myFormat

# 根据客户端的IP单独存放主机日志在不同目录，rsyslog需要手动创建
$template RemoteLogs,"/data/rsyslog/%fromhost-ip%/%fromhost-ip%_%$YEAR%-%$MONTH%-%$DAY%.log"
# 排除本地主机IP日志记录，只记录远程主机日志
:fromhost-ip, !isequal, "127.0.0.1" ?RemoteLogs
~]# systemctl restart rsyslog

为了把rsyslog server收集的日志数据导入到ELK中，需要在rsyslog server使用到omkafka的模块

~]# yum -y install rsyslog-kafka
~]# cat /etc//rsyslog.d/kafka.conf
# 加载omkafka和imfile模块
module(load="omkafka")
module(load="imfile")
 
# nginx template
template(name="SystemlogTemplate" type="string" string="%hostname%<-+>%syslogtag%<-+>%msg%\n")
 
# ruleset
ruleset(name="systemlog-kafka") {
    #日志转发kafka
    action (
        type="omkafka"
    template="SystemlogTemplate"
        topic="system-log"
        broker="10.10.27.125:9092,10.10.27.126:9092,10.10.27.127:9092"
    )
}

input(type="imfile" Tag="Systemlog" File="/data/rsyslog/*/*.log" Ruleset="systemlog-kafka"

~]# systemctl restart rsyslog

2、 Rsyslog客户端

~]# cat /etc/rsyslog.conf #追加一行
*.*    @10.10.27.121:514
#所有日志通过UDP传输给rsyslog server
~]# systemctl restart rsyslog

至此，rsyslog准备完毕，验证/data/rsyslog下是否产生日志文件,验证ELK内是否出现索引，创建索引后看到日志内容