整体版本为8.1.3
elasticsearch安装:
1.下载解压
wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.1.3-linux-x86_64.tar.gz
tar -zxf elasticsearch-8.1.3-linux-x86_64.tar.gz
2.配置说明
elasticsearch-8.1.3/config/jvm.options
2.1 jvm配置:
-Xms1g
-Xmx1g
2.2 elasticsearch配置
elasticsearch-8.1.3/config/elasticsearch.yml
#数据存储路径
path.data: /usr/local/elk8.1/data/1
#日志存储路径
path.logs: /usr/local/elk8.1/logs/1
#绑定ip,0.0.0.0 全部可访问
network.host: 0.0.0.0
2.3 elasticsearch必须使用非root用户
#创建用户组和用户
groupadd elsearch
useradd elsearch -g elsearch -p codingwhy
chown -R elsearch:elsearch elasticsearch-8.1.3
2.4 部分机器环境变量需要修改
#设置环境配置(打开文件后,在最后添加即可,需要用root用户操作)
vim /etc/sysctl.conf
#fs.file-max主要是配置系统最大打开文件描述符数,建议修改为655360或者更高
fs.file-max=655360
#影响Java线程数量,用于限制一个进程可以拥有的VMA(虚拟内存区域)的大小
vm.max_map_count = 262144
vim /etc/security/limits.conf
#可打开的文件描述符的最大数(软限制)
* soft noporc 65535
#可打开的文件描述符的最大数(硬限制)
* hard noporc 65535
#单个用户可用的最大进程数量(软限制)
* soft nofile 65535
#单个用户可用的最大进程数量(硬限制)
* hard nofile 65535
#centos7特有,修改软限制[需要执行]
vim /etc/security/limits.d/20-nproc.conf
* soft nproc 40960
elsearch soft nofile 65536
elsearch soft nofile 131072
#设置后,需要让这些配置生效一下,命令:
sysctl -p
2.5 集群配置
每一个实例的配置文件基本类似下文,只用处理其中的节点、节点发现、数据目录、日志目录、端口等相关配置即可
vi config/elasticsearch.yml
#集群名称
cluster.name: elasticsearch
#)节点名称
node.name: node-1
#是否作为主节点,每个节点都可以被配置成为主节点,默认值为true
node.master: true
#默认情况下,多个节点可以在同一个安装路径启动,如果你想让你的es只启动一个节点,可以进行如下设置
node.max_local_storage_nodes: 1
#数据目录
path.data: /usr/local/elk8.1/data/2
#日志目录
path.logs: /usr/local/elk8.1/logs/2
#访问ip绑定 0.0.0.0 不限制
network.host: 192.168.86.173
#http 端口
http.port: 9202
#
transport.port: 9302
#节点发现
discovery.seed_hosts: ["192.168.86.173:9300","192.168.86.173:9301","192.168.86.173:9302"]
#主节点配置
cluster.initial_master_nodes: ["192.168.86.173:9300"]
2.6 如果开启了xpack安全授权
授权密钥生成命令
# elasticsearch x-pack安全认证登录/tcp启用TLS
# 1. 生成CA证书,使用elasticsearch内部命令
bin/elasticsearch-certutil ca
# 2.为集群中每个节点生成证书和私钥
bin/elasticsearch-certutil cert --ca elastic-stack-ca.p12
#文件权限
chmod 777 ../config/elastic-certificates.p12
chmod 777 ../config/elastic-stack-ca.p12
在elasticsearch.yml文件添加如下配置
#开启安全认证登录
xpack.security.enabled: true
##tcp启用TSL
xpack.security.transport.ssl.enabled: true
xpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.keystore.path: ./elastic-certificates.p12
xpack.security.transport.ssl.truststore.path: ./elastic-certificates.p12
#http启用TLS 可选
xpack.security.http.ssl.enabled: true
xpack.security.http.ssl.keystore.path: ./elastic-certificates.p12
xpack.security.http.ssl.truststore.path: ./elastic-certificates.p12
执行命令使密钥生效
./elasticsearch-keystore add xpack.security.transport.ssl.keystore.secure_password
./elasticsearch-keystore add xpack.security.transport.ssl.truststore.secure_password
./elasticsearch-keystore add xpack.security.http.ssl.keystore.secure_password
./elasticsearch-keystore add xpack.security.http.ssl.truststore.secure_password
3 启动
#启动
./elasticsearch
#后台启动
./elasticsearch -d
密码相关信息
✅ Elasticsearch security features have been automatically configured!
✅ Authentication is enabled and cluster connections are encrypted.
ℹ️ Password for the elastic user (reset with `bin/elasticsearch-reset-password -u elastic`):
8ZGJ*R6xLbyQvtJ5IIaQ
ℹ️ HTTP CA certificate SHA-256 fingerprint:
acf3d9f26a7db408b2650318b114574e616c01feeae24fc4a8c531008ee08c0f
ℹ️ Configure Kibana to use this cluster:
• Run Kibana and click the configuration link in the terminal when Kibana starts.
• Copy the following enrollment token and paste it into Kibana in your browser (valid for the next 30 minutes):
eyJ2ZXIiOiI4LjEuMyIsImFkciI6WyIxMC4xMC4xMC4yNTM6OTIwMCJdLCJmZ3IiOiJhY2YzZDlmMjZhN2RiNDA4YjI2NTAzMThiMTE0NTc0ZTYxNmMwMWZlZWFlMjRmYzRhOGM1MzEwMDhlZTA4YzBmIiwia2V5IjoiREpjWmRZUUJCN2FxSmVKZHdfXzg6YjdSQzVOSDZSLUtFOXRrWElMdUszQSJ9
ℹ️ Configure other nodes to join this cluster:
• On this node:
⁃ Create an enrollment token with `bin/elasticsearch-create-enrollment-token -s node`.
⁃ Uncomment the transport.host setting at the end of config/elasticsearch.yml.
⁃ Restart Elasticsearch.
• On other nodes:
⁃ Start Elasticsearch with `bin/elasticsearch --enrollment-token <token>`, using the enrollment token that you generated.
部分命令
# 自动随机生成并设置密码
./elasticsearch-setup-passwords auto
./elasticsearch-reset-password -u kibana --auto
./elasticsearch-reset-password -u logstash_system --auto
4 查看集群状态
https://127.0.0.1:9201/_cat/nodes
kibana安装
1.下载解压
wget -c https://artifacts.elastic.co/downloads/kibana/kibana-8.1.3-linux-x86_64.tar.gz
tar -zxvf ./kibana-8.1.3-linux-x86_64.tar.gz
2.关联es
elasticsearch.hosts
elasticsearch.username
elasticsearch.password
#中文
i18n.locale: "zh-CN"
#修改配置:
server.host: "0.0.0.0"
3. 启动
nohup /usr/local/kibana/bin/kibana &
4.配置示例
server.port: 5602
server.host: "0.0.0.0"
#server.publicBaseUrl: ""
# The maximum payload size in bytes for incoming server requests.
#server.maxPayload: 1048576
# The Kibana server's name. This is used for display purposes.
#server.name: "your-hostname"
server.ssl.enabled: false
elasticsearch.hosts: ["http://10.10.10.253:9201"]
elasticsearch.username: "kibana"
elasticsearch.password: "xxx"
i18n.locale: "zh-CN"
logstash 安装
1.下载解压
wget https://artifacts.elastic.co/downloads/logstash/logstash-8.1.3-linux-x86_64.tar.gz
tar -zxvf logstash-8.1.3-linux-x86_64.tar.gz
2.启动
bin/logstash -f config/logstash-sample.conf --log.level=debug
3.配置样例
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.
input {
file {
path => [ "C:/work/file/file-output-test.txt" ]
add_field => {
"appname"=>"演示demo"
}
start_position => "beginning"
discover_interval => 1
close_older => 3600
type => "demo_platform"
#监听文件读取信息记录的位置
sincedb_path => "C:/work/file/1.txt"
#设置多长时间会写入读取的位置信息
sincedb_write_interval => 15
#设置多长时间检测文件是否修改
stat_interval => 1
}
}
filter {
if [type] == "demo_platform" {
ruby {
code => '
#转成json对象
logInfoJson=JSON.parse event.get("message")
event.set("ip",logInfoJson["host"])
event.set("timestamp",logInfoJson["@timestamp"])
'
}
date {
match => ["timestamp", "yyyy-MM-dd'T'HH:mm:ss.SSSZ"]
}
mutate {
remove_field => [ "agent", "ecs", "input" ]
}
}
}
output {
if [type] == 'demo_platform'{
elasticsearch {
hosts => ["http://10.10.10.253:9201"]
index => "demo_platform"
template_overwrite => true
template_name => "ecs-logstash"
user => "xxx"
password => "xxx"
}
}
}
filebeat 安装
1.下载解压
wget https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-8.1.3-linux-x86_64.tar.gz
tar zxvf filebeat-8.1.3-linux-x86_64.tar.gz
2.启动
部分场景下因为日志文件停止更新,导致自动关闭,可以加入服务避免此类问题
nohup ./filebeat -e -c filebeat.yml -d "publish"
加入服务方式
cd /lib/systemd/system
vim filebeat.service
filebeat.service脚本内容
[Unit]
Description=filebeat
Wants=network-online.target
After=network-online.target
[Service]
User=root
ExecStart=//usr/local/filebeat/filebeat -e -c /usr/local/filebeat/filebeat.yml
Restart=always
[Install]WantedBy=multi-user.target
启动方式
systemctl daemon-reload #加载配置
systemctl start filebeat #启动filebeat服务
systemctl enable filebeat #设置开机自启
systemctl list-units --type=service #查看所有已启动的服务
filebeat.service loaded active running filebeat #如果有这一行就证明设置成功
3.配置说明
filebeat.yml
max_procs: 1 # *限制一个CPU核心,避免过多抢占业务资源
queue.mem.events: 2048 # 存储于内存队列的事件数,排队发送 (默认4096)
queue.mem.flush.min_events: 1536 # 小于 queue.mem.events ,增加此值可提高吞吐量 (默认值2048
filebeat.inputs:
- type: log
enabled: true
paths:
- C:\work\file\8.txt
fields:
type: demo_platform2
multiline.pattern: '^[0-9]{4}-[0-9]{2}-[0-9]{2}'
multiline.negate: true
multiline.match: after
output.logstash:
hosts: ["10.10.10.253:5044"]
elastalert2 安装
1. 准备python3.10以上环境
#编译安装
./configure --prefix=/usr/local/soft/python3.11 --with-openssl=/usr/local/openssl --enable-optimizations
make
make install
ln -s /usr/local/python/bin/python3 /usr/bin/python3
ln -s /usr/local/python/bin/pip3 /usr/bin/pip3
#后续建议使用虚拟环境
python3 -m venv myvenv
2. 下载
git clone https://github.com/jertel/elastalert2.git
3.安装
pip install elasticsearch==8.1.3
pip install -r requirements.txt
python setup.py install
4.可以调整软链
ln -s /usr/local/python/bin/elastalert* /usr/bin
5.启动前需要创建索引
elastalert-create-index --config config.yaml
6.启动
#debug 方式启动,此项启动不会调用相关通知
elastalert --debug --rule test.yaml --config config.yaml
#正常启动
elastalert --rule test.yaml --config config.yaml
7. 配置示例
具体配置说明请查看官方说明:https://elastalert2.readthedocs.io/en/latest/
config.yaml
# This is the folder that contains the rule yaml files
# Any .yaml file will be loaded as a rule
rules_folder: example
run_every:
minutes: 1
buffer_time:
minutes: 15
# The Elasticsearch hostname for metadata writeback
# Elasticsearch host
es_host: 10.10.10.253
es_port: 9201
es_username: xxx
es_password: xxx
writeback_index: elastalert_status
writeback_alias: elastalert_alerts
alert_time_limit:
days: 2
test.yaml
# Rule name, must be unique
name: test_frequency
# Alert on x events in y seconds
type: frequency
# Alert when this many documents matching the query occur within a timeframe
num_events: 1
# num_events must occur within this amount of time to trigger an alert
timeframe:
minutes: 1
#警报时间控制
#start_time: "4:00"
#end_time: "20:00"
# A list of elasticsearch filters used for find events
# These filters are joined with AND and nested in a filtered query
# For more info: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl.html
filter:
- query:
query_string:
default_field: "message"
query: "test"
index: demo_platform2
# When the attacker continues, send a new alert after x minutes
realert:
minutes: 0
# The alert is use when a match is found
alert:
- "post"
http_post_url: "http://p74q5c.natappfree.cc/general/project/uniplat_base/service/anonymous/elk_notify/test"
http_post_static_payload:
# 添加到post包中的数据,规则名称
rule_name: test_frequency
# 添加到post包中的数据,告警级别
rule_level: medium
# Alert body only cointains a title and text
#alert_text_type: alert_text_only
定时删除索引日志数据
可使用linux crontab来定时执行
1.脚本示例
#!/bin/sh
savedays=7
if [ ! -n "$savedays" ]; then
echo "the args is not right,please input again...."
exit 1
fi
#sevendayago=`date -d "-${savedays} day " +'%Y-%m-%dT%H:%M:%S.000+0800'`
#获取x月之前的时间
#sevendayago=`date -d "-${savedays} month" +'%Y-%m-%dT00:00:00.000+0800'`
#获取x天之前的时间
sevendayago=`date -d "-${savedays} day " +'%Y-%m-%dT00:00:00.000+0800'`
echo $sevendayago
for line in `cat /home/elk/elk_download/indexname.conf`
do
echo $line
echo "10.10.10.253:9201/${line}"
curl -H "Content-Type: application/json" -XPOST "10.10.10.253:9201/${line}/_delete_by_query?refresh&slices=10&scroll_size=10000" -uelastic:123456 -d '
{"query": {
"bool": {
"must": [
{"range": {
"@timestamp": {
"lt": "'${sevendayago}'"
}
}}
]
}
}
}'
done
echo "ok"
indexname.conf示例
demo
demo2
简单使用说明:
filebeat读取日志文件,逐行提交给output配置,本文使给到logstash,logstash根据input配置进行接收,filter进行过滤处理,之后output输出到es中。
kibana 进行对es的可视化管理,其中索引管理 可查看当前生成的索引列表。 数据视图管理 可以对索引进行视图的创建,达到在看板管理的效果。文章来源:https://www.toymoban.com/news/detail-406180.html
elastalert2是在elastalert停止维护后使用的,作为监控报警程序,监控规则在rules.yaml中配置,连接es的配置在config.yaml配置。文章来源地址https://www.toymoban.com/news/detail-406180.html
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