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搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

文章目录

  • 前言
  • 一、下载
  • 二、使用步骤
    • 1.安装es
    • 2.安装kibana
    • 3.安装filebeat
    • 4.在kibana查看日志
  • 附完整的filebeat.yml

前言

EFK简介
Elasticsearch 是一个实时的、分布式的可扩展的搜索引擎,允许进行全文、结构化搜索,它通常用于索引和搜索大量日志数据,也可用于搜索许多不同类型的文档。

FileBeats 是数据采集的得力工具。将 Beats 和您的容器一起置于服务器上,或者将 Beats 作为函数加以部署,然后便可在 Elastisearch 中集中处理数据。如果需要更加强大的处理性能,Beats 还能将数据输送到 Logstash 进行转换和解析。

Kibana 核心产品搭载了一批经典功能:柱状图、线状图、饼图、旭日图,等等。不仅如此,您还可以使用 Vega 语法来设计独属于您自己的可视化图形。所有这些都利用 Elasticsearch 的完整聚合功能。

Elasticsearch 通常与 Kibana 一起部署,Kibana 是 Elasticsearch 的一个功能强大的数据可视化 Dashboard,Kibana 允许你通过 web 界面来浏览 Elasticsearch 日志数据。

ELK和EFK的区别:
ELK 是现阶段众多企业单位都在使用的一种日志分析系统,它能够方便的为我们收集你想要的日志并且展示出来

ELK是Elasticsearch、Logstash、Kibana的简称,这三者都是开源软件,通常配合使用。

  1. Elasticsearch –>存储数据

是一个实时的分布式搜索和分析引擎,它可以用于全文搜索,结构化搜索以及分析。它是一个建立在全文搜索引擎 Apache Lucene 基础上的搜索引擎,使用 Java 语言编写,能对大容量的数据进行接近实时的存储、搜索和分析操作。

  1. Logstash –> 收集数据

数据收集引擎。它支持动态的从各种数据源搜集数据,并对数据进行过滤、分析、丰富、统一格式等操作,然后存储到用户指定的位置。

  1. Kibana –> 展示数据

数据分析和可视化平台。通常与 Elasticsearch 配合使用,对其中数据进行搜索、分析和以统计图表的方式展示。

EFK是ELK日志分析系统的一个变种,加入了filebeat 可以更好的收集到资源日志 来为我们的日志分析做好准备工作。

优缺点
Filebeat 相对 Logstash 的优点:

侵入低,无需修改 elasticsearch 和 kibana 的配置;
性能高,IO 占用率比 logstash 小太多;
当然 Logstash 相比于 FileBeat 也有一定的优势,比如 Logstash 对于日志的格式化处理能力,FileBeat 只是将日志从日志文件中读取出来,当然如果收集的日志本身是有一定格式的,FileBeat 也可以格式化,但是相对于Logstash 来说,效果差很多。


下面搭建一个简单的EFK日志收集系统,基于最新的版本8.7,ELK三个软件版本最好要保持一致,不然会出现问题。

一、下载

下载版本8.7.0
Es地址:https://www.elastic.co/cn/downloads/elasticsearch
Filebeat地址:https://www.elastic.co/cn/downloads/beats/filebeat
Kibana地址:https://www.elastic.co/cn/downloads/kibana

二、使用步骤

1.安装es

解压ES安装文件
修改config目录中的elasticsearch.yml,添加两行配置,防止跨域。

http.cors.enabled: true
http.cors.allow-origin: "*"

修改host

network.host: 192.168.100.22

进入bin目录
cmd中运行elasticsearch

从启动日志中拷贝出默认用户名

修改elasticsearch.yml文件,xpack.security.http.ssl:enabled设置为false。

访问localhost:9200,输入用户elastic和拷贝出的密码
能访问,代表成功了

搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

2.安装kibana

解压kibana
修改config下kibana.yml
修改配置:

i18n.locale: "zh-CN"
server.host: "192.168.100.22"
server.port: 5601

重置es中kibana账号的密码
进入es的bin目录
执行:

elasticsearch-reset-password -u kibana

将生成的密码拷贝出来,配置到kibana.yml中

elasticsearch.username: "kibana"
elasticsearch.password: "MK=iUF0fuJYXx-QbC=TF"

进入kibana的bin目录启动kibana.bat

访问http://192.168.100.22:5601,输入用户名elastic,密码为安装es时拷贝出来的密码
搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

3.安装filebeat

解压filebeat
修改filebeat.yml,配置说明见下面的注释

......# ============================== 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: log# Unique ID among all inputs, an ID is required.id: my-newframe-access-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\*\\log_access.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-accessmultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-error-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_error.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-errormultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-info-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_info.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-infomultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-warn-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_warn.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-warnmultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after......
setup.ilm.enabled: false                # 如果要创建多个索引,需要将此项设置为 false
setup.template.name: station_log          # 设置模板的名称
setup.template.pattern: station_log-*  # 设置模板的匹配方式,索引的前缀要和这里保持一致
setup.template.overwrite: true                # 开启新设置的模板
setup.template.enabled: false                 # 关掉默认的模板配置# ---------------------------- Elasticsearch Output ----------------------------
output.elasticsearch:# Array of hosts to connect to.hosts: ["192.168.100.22:9200"]index: station_log-%{[fields.type]}-%{+yyyy.MM.dd}     # 设置索引名称,后面引用的 fields.type 变量。此处的配置应该可以省略(不符合下面创建索引条件的日志,会使用该索引)indices:                                             # 使用 indices 代表要创建多个索引- index: station_log-newframe-log-access-%{+yyyy.MM.dd}       # 设置 日志的索引,注意索引前面的 station_log 要与setup.template.pattern 的配置相匹配when.equals:                                     # 设置创建索引的条件:当 fields.type 的值等于 newframe-log-access 时才生效fields.type: newframe-log-access- index: station_log-newframe-log-error-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-error- index: station_log-newframe-log-info-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-info- index: station_log-newframe-log-warn-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-warn# Protocol - either `http` (default) or `https`.#protocol: "https"# Authentication credentials - either API key or username/password.#api_key: "id:api_key"username: "elastic"password: "QbxGioLkbOy_jNkuvCkV"
......

启动:

filebeat.exe setup
filebeat.exe -e -c filebeat.yml

启动后查看索引,多了几个日志的索引
搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

4.在kibana查看日志

访问kibana:
http://192.168.100.22:5601/
Discover
创建数据视图,查看日志,如下图
搭建EFK(Elasticsearch+Filebeat+Kibana)日志收集系统[windows]

附完整的filebeat.yml

# 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: log# Unique ID among all inputs, an ID is required.id: my-newframe-access-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\*\\log_access.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-accessmultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-error-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_error.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-errormultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-info-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_info.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-infomultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after- type: log# Unique ID among all inputs, an ID is required.id: my-newframe-warn-id# Change to true to enable this input configuration.enabled: true# Paths that should be crawled and fetched. Glob based paths.paths:- D:\\ideaProjects\\newframe-by-maven\\logs\\dmo-uaa\\log_warn.log#- c:\\programdata\\elasticsearch\\logs\\*# 设置fields,标记此日志fields:type: newframe-log-warnmultiline.type: pattern  multiline.pattern: '^\\d{4}-\\d{2}-\\d{2}'multiline.negate: truemultiline.match: after#multiline.pattern: '^[[:space:]]+(at|\\.{3})[[:space:]]+\\b|^Caused by:'#multiline.negate: false#multiline.match: 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: false# 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# ================================== 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 own 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 dashboards archive. By default this URL
# has a value which 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.setup.ilm.enabled: false                    # 如果要创建多个索引,需要将此项设置为 false
setup.template.name: station_log          # 设置模板的名称
setup.template.pattern: station_log-*         # 设置模板的匹配方式,索引的前缀要和这里保持一致
setup.template.overwrite: true                # 开启新设置的模板
setup.template.enabled: false                 # 关掉默认的模板配置# ---------------------------- Elasticsearch Output ----------------------------
output.elasticsearch:# Array of hosts to connect to.hosts: ["192.168.100.22:9200"]index: station_log-%{[fields.type]}-%{+yyyy.MM.dd}     # 设置索引名称,后面引用的 fields.type 变量。此处的配置应该可以省略(不符合下面创建索引条件的日志,会使用该索引)indices:                                             # 使用 indices 代表要创建多个索引- index: station_log-newframe-log-access-%{+yyyy.MM.dd}       # 设置 日志的索引,注意索引前面的 station_log 要与setup.template.pattern 的配置相匹配when.equals:                                     # 设置创建索引的条件:当 fields.type 的值等于 newframe-log-access 时才生效fields.type: newframe-log-access- index: station_log-newframe-log-error-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-error- index: station_log-newframe-log-info-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-info- index: station_log-newframe-log-warn-%{+yyyy.MM.dd}when.equals:fields.type: newframe-log-warn# Protocol - either `http` (default) or `https`.#protocol: "https"# Authentication credentials - either API key or username/password.#api_key: "id:api_key"username: "elastic"password: "QbxGioLkbOy_jNkuvCkV"# ------------------------------ 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 =================================
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 output 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