网站建设与维护 目录,扫描做电子版网站,如何做网签合同 网站,iis建立的网站打不开文章目录 一. 传统的ELK二. EFK2.1 安装elasticSearch2.2 服务端安装fileBeats2.2.1. 安装 该也没有必要安装odcker,直接下载yum或官网jar包启动即可.2.2.2.编辑配置文件 filebeat-java-logback.yml2.2.3. es配置common_log_pipeline解析日志 三.启动测试 最近发现,logstash日志… 文章目录 一. 传统的ELK二. EFK2.1 安装elasticSearch2.2 服务端安装fileBeats2.2.1. 安装 该也没有必要安装odcker,直接下载yum或官网jar包启动即可.2.2.2.编辑配置文件 filebeat-java-logback.yml2.2.3. es配置common_log_pipeline解析日志 三.启动测试 最近发现,logstash日志收集器本身的内存占用和es相当,这也是logstash用java开发,其jvm本身就是内存消耗大户.为了降本增效,发现用go开发的beats可以替代logstash.
ELK : 通常我们将服务器日志通过logback的http发送至logstash服务器统一处理,logstash采集处理后发送到elasticsearch服务器. EFK: 通常我们将服务器日志保存到本机,本机启动filebeats,fliebeats采集处理发送至elasticsearch.
一. 传统的ELK logstashelasticsearchKibana(ELK)日志收集 二. EFK logback fileBeats elasticSearch Kibana日志收集方案 2.1 安装elasticSearch
该docker安装只针对7.18以下版本. 7.18默认开启生产模式 1. 安装
# 安装es
docker pull elasticsearch:7.17.3
mkdir -p /mydata/elasticsearch/config
mkdir -p /mydata/elasticsearch/data
echo http.host: 0.0.0.0 /mydata/elasticsearch/config/elasticsearch.yml
chmod -R 777 /mydata/elasticsearch/docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e discovery.typesingle-node \
-e ES_JAVA_OPTS-Xms512m -Xmx512m \
--restartalways --privilegedtrue \
-v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.17.32. 进入到es挂载目录elasticsearch.yml的挂载目录添加以下内容
http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: *
http.cors.allow-headers: Authorization
xpack.security.enabled: true
# Enable encryption and mutual authentication between cluster nodes
xpack.security.transport.ssl.enabled: true
# Enable encryption for HTTP API client connections, such as Kibana, Logstash, and Agents
xpack.security.http.ssl.enabled: false
3. 重启es容器并进入es容器 4. 进入容器后执行以下命令 傻瓜式设置账号密码
./bin/elasticsearch-setup-passwords interactive5. 重启es容器
2.2 服务端安装fileBeats
2.2.1. 安装 该也没有必要安装odcker,直接下载yum或官网jar包启动即可.
强烈建议不要用docker,docker不保证不出错
# 安装beats
docker run -d --namefilebeat:7.17.3 docker.elastic.co/beats/filebeat:7.17.3 \
--privilegedtrue \
--restartalways \
-v /mydata/beats/filebeat.yml:/usr/share/filebeat/filebeat.yml:ro \
-v /mydata/beats/lib/docker/containers:/var/lib/docker/containers:ro \
-v /mydata/beats/run/docker.sock:/var/run/docker.sock:ro \
-v /mydata/beats/log/messages:/var/log/messages \
-e --strict.permsfalse \
-E output.elasticsearch.hosts[elasticsearch:9200]# 安装管道
filebeat setup --pipelines --modules system2.2.2.编辑配置文件 filebeat-java-logback.yml 目的: 1.设置filebeat的抓取数据路径 2.设置输出目标,及使用何种预处理 以下是7.17.3到8.6的官方配置.只做增添.
###################### Filebeat Configuration Example ########################## This file is an example configuration file highlighting only the most common
# options. The filebeat.reference.yml file from the same directory contains all the
# supported options with more comments. You can use it as a reference.
#
# You can find the full configuration reference here:
# https://www.elastic.co/guide/en/beats/filebeat/index.html# For more available modules and options, please see the filebeat.reference.yml sample
# configuration file.# Filebeat inputs filebeat.inputs:# Each - is an input. Most options can be set at the input level, so# you can use different inputs for various configurations.# Below are the input-specific configurations.# filestream is an input for collecting log messages from files.- type: filestreamencoding: utf-8# Unique ID among all inputs, an ID is required.id: my-filestream-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- c:/mydata/filebeat/logs/*.log#- /mydata/filebeat/logs/*.log# yyyy-MM-dd 时间格式开头的行合并到上一行末multiline:pattern: ^\d{4}\-\d{2}\-\d{2}negate: truematch: after# Exclude lines. A list of regular expressions to match. It drops the lines that are# matching any regular expression from the list.# Line filtering happens after the parsers pipeline. If you would like to filter lines# before parsers, use include_message parser.#exclude_lines: [^DBG]# Include lines. A list of regular expressions to match. It exports the lines that are# matching any regular expression from the list.# Line filtering happens after the parsers pipeline. If you would like to filter lines# before parsers, use include_message parser.#include_lines: [^ERR, ^WARN]# Exclude files. A list of regular expressions to match. Filebeat drops the files that# are matching any regular expression from the list. By default, no files are dropped.#prospector.scanner.exclude_files: [.gz$]# Optional additional fields. These fields can be freely picked# to add additional information to the crawled log files for filtering#fields:# level: debug# review: 1# Filebeat modules filebeat.config.modules:# Glob pattern for configuration loadingpath: ${path.config}/modules.d/*.yml# Set to true to enable config reloadingreload.enabled: true# Period on which files under path should be checked for changes#reload.period: 10s# Elasticsearch template setting setup.template.settings:index.number_of_shards: 1#index.codec: best_compression#_source.enabled: false
setup.template.name: yqc # 设置一个新的模板模板的名称
setup.template.pattern: yqc-* # 模板匹配那些索引这里表示以yqc开头的所有的索引
setup.template.overwrite: true
setup.template.enabled: false
setup.ilm.enabled: false
#index.codec: best_compression
#_source.enabled: false# General # The name of the shipper that publishes the network data. It can be used to group
# all the transactions sent by a single shipper in the web interface.
#name:# The tags of the shipper are included in their field with each
# transaction published.
#tags: [service-X, web-tier]# Optional fields that you can specify to add additional information to the
# output.
#fields:
# env: staging# Dashboards
# These settings control loading the sample dashboards to the Kibana index. Loading
# the dashboards is disabled by default and can be enabled either by setting the
# options here or by using the setup command.
#setup.dashboards.enabled: false# The URL from where to download the dashboard archive. By default, this URL
# has a value that is computed based on the Beat name and version. For released
# versions, this URL points to the dashboard archive on the artifacts.elastic.co
# website.
#setup.dashboards.url:# Kibana # Starting with Beats version 6.0.0, the dashboards are loaded via the Kibana API.
# This requires a Kibana endpoint configuration.
setup.kibana:# Kibana Host
# Scheme and port can be left out and will be set to the default (http and 5601)
# In case you specify and additional path, the scheme is required: http://localhost:5601/path
# IPv6 addresses should always be defined as: https://[2001:db8::1]:5601
#host: localhost:5601# Kibana Space ID
# ID of the Kibana Space into which the dashboards should be loaded. By default,
# the Default Space will be used.
#space.id:# Elastic Cloud # These settings simplify using Filebeat with the Elastic Cloud (https://cloud.elastic.co/).# The cloud.id setting overwrites the output.elasticsearch.hosts and
# setup.kibana.host options.
# You can find the cloud.id in the Elastic Cloud web UI.
#cloud.id:# The cloud.auth setting overwrites the output.elasticsearch.username and
# output.elasticsearch.password settings. The format is user:pass.
#cloud.auth:# Outputs # Configure what output to use when sending the data collected by the beat.# ---------------------------- Elasticsearch Output ----------------------------
output.elasticsearch:# Array of hosts to connect to.hosts: [ localhost:9200 ]username: elasticpassword: elastic# pipeline使用的是es的管道解析功能pipeline: common_log_pipelineencoding: utf-8indices:- index: yqc-info-%{[agent.version]}-%{yyyy.MM.dd}when.contains:message: INFO- index: yqc-error-%{[agent.version]}-%{yyyy.MM.dd}when.contains:message: ERROR# Protocol - either http (default) or https.#protocol: https# Authentication credentials - either API key or username/password.#api_key: id:api_key#username: elastic#password: changeme# ------------------------------ Logstash Output -------------------------------#output.logstash:# The Logstash hosts#hosts: [localhost:5044]# Optional SSL. By default is off.# List of root certificates for HTTPS server verifications#ssl.certificate_authorities: [/etc/pki/root/ca.pem]# Certificate for SSL client authentication#ssl.certificate: /etc/pki/client/cert.pem# Client Certificate Key#ssl.key: /etc/pki/client/cert.key# Processors
# pipeline使用的是es的解析功能,而processors是filebeats本身的功能
processors:- add_host_metadata:when.not.contains.tags: forwarded- add_cloud_metadata: ~- add_docker_metadata: ~- add_kubernetes_metadata: ~# Logging # Sets log level. The default log level is info.# Available log levels are: error, warning, info, debug#logging.level: debug# At debug level, you can selectively enable logging only for some components.# To enable all selectors, use [*]. Examples of other selectors are beat,# publisher, service.#logging.selectors: [*]# X-Pack Monitoring # Filebeat can export internal metrics to a central Elasticsearch monitoring# cluster. This requires xpack monitoring to be enabled in Elasticsearch. The# reporting is disabled by default.# Set to true to enable the monitoring reporter.#monitoring.enabled: false# Sets the UUID of the Elasticsearch cluster under which monitoring data for this# Filebeat instance will appear in the Stack Monitoring UI. If output.elasticsearch# is enabled, the UUID is derived from the Elasticsearch cluster referenced by output.elasticsearch.#monitoring.cluster_uuid:# Uncomment to send the metrics to Elasticsearch. Most settings from the# Elasticsearch outputs are accepted here as well.# Note that the settings should point to your Elasticsearch *monitoring* cluster.# Any setting that is not set is automatically inherited from the Elasticsearch# output configuration, so if you have the Elasticsearch output configured such# that it is pointing to your Elasticsearch monitoring cluster, you can simply# uncomment the following line.#monitoring.elasticsearch:# Instrumentation # Instrumentation support for the filebeat.#instrumentation:# Set to true to enable instrumentation of filebeat.#enabled: false# Environment in which filebeat is running on (eg: staging, production, etc.)#environment: # APM Server hosts to report instrumentation results to.#hosts:# - http://localhost:8200# API Key for the APM Server(s).# If api_key is set then secret_token will be ignored.#api_key:# Secret token for the APM Server(s).#secret_token:# Migration # This allows to enable 6.7 migration aliases
#migration.6_to_7.enabled: true
2.2.3. es配置common_log_pipeline解析日志 目的: 我们需要根据日志数据来自定义解析结果, 当然默认的也可以.自定义就需要使用pipeline功能 那如何确定日志数据被pipeline解析的格式? 答案是使用grok语法 grok的模拟解析工具在kibana有提供或在线grok工具. (请自行查阅gork语法)
日志打印格式 !-- 日志输出格式 --property namelog.console.pattern value%d{yyyy-MM-dd HH:mm:ss.SSS,GMT8}-%magenta(${IP})-%blue([%thread])-%highlight(%-5level)-%logger{20}-%yellow(%method)-%cyan(%msg)-%red(%exception%n) /property namelog.file.pattern value%d{yyyy-MM-dd HH:mm:ss.SSS,GMT8}-${ip}-[%thread]-%level-%logger{20}-%method-%msg-%exception%n /日志数据
2023-09-18 20:34:55.439-ip_IS_UNDEFINED-[main]-INFO-o.a.d.s.b.c.e.OverrideDubboConfigApplicationListener-onApplicationEvent-Dubbo Config was overridden by externalized configuration {dubbo.application.loggerslf4j, dubbo.application.metadataTyperemote, dubbo.application.namevector-member, dubbo.application.qos-enablefalse, dubbo.config.multipletrue, dubbo.consumer.checkfalse, dubbo.consumer.version1.0.0, dubbo.metadata-report.addressnacos://localhost:8848, dubbo.metadata-report.parameters.namespace410031c2-6c35-40e0-a417-dbd2870e8aaa, dubbo.metadata-report.parameters.passwordnacos, dubbo.metadata-report.parameters.usernamenacos, dubbo.protocol.namedubbo, dubbo.protocol.port-1, dubbo.protocol.serializationhessian2, dubbo.provider.version1.0.0, dubbo.registry.addressnacos://localhost:8848, dubbo.registry.checkfalse, dubbo.registry.parameters.namespace410031c2-6c35-40e0-a417-dbd2870e8aaa, dubbo.registry.parameters.passwordnacos, dubbo.registry.parameters.usernamenacos}-grok解析
%{TIMESTAMP_ISO8601:timestamp}-%{DATA:ip}-%{DATA:thread}-%{LOGLEVEL:log_level}-%{DATA:class}-%{GREEDYDATA:method}-%{GREEDYDATA:msg}-%{GREEDYDATA:exception_message}对应的预处理方法即数据被映射的数据项
PUT _ingest/pipeline/common_log_pipeline
{description: common_log_pipeline,processors: [{grok: {field: message,patterns: [%{TIMESTAMP_ISO8601:timestamp}-%{DATA:ip}-%{DATA:thread}-%{LOGLEVEL:log_level}-%{DATA:class}-%{GREEDYDATA:method}-%{GREEDYDATA:msg}-%{GREEDYDATA:exception_message}],ignore_failure:true}},{remove : {field : input}},{remove : {field : message}},{remove : {field : agent}},{remove : {field : ecs}},{remove : {field : host}},{remove : {field : log}}]
}三.启动测试
filebeat应该和服务器代码一起,利用filebeat采集服务器存储的日志文件发送到es.
# linux
./filebeat -e -c filebeat.yml
# windows
filebeat.exe -e -c filebeat.yml
