ELK之Linux环境下安装kibana

经过上个篇章《ELK之Linux环境下安装ElasticSearch》，我们已经安装好了es.
这个篇章就开始安装kibana.
kibana的作用主要就是提供一个美观的图形化界面去对数据更方便的操作，可以理解为就是一个图形化界面

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注意,我这里用的kibana版本是6.4.3，因为我搭建好的es也是6.4.3版本

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老规矩:先到官方网站下载好kibana，kibana下载地址

一、开始安装kibana

1.1、将下载好的kibana上传到服务器位置，我这里一般习惯是上传到/usr/local的目录下
1.2、通过解压命令:tar -zxvf 文件名进行解压
1.3、进入到kibana文件夹的config目录下,如图3

图3
1.4、我们需要修改kibana.yml这个配置文件
命令: vim kibana.yml
其中elasticsearch.url就是你安装好es的服务器访问地址,如果es配置了密码那些，那么就把kibana里面的elasticsearch.username这个配置项放开

# Kibana is served by a back end server. This setting specifies the port to use.
server.port: 5601

# Specifies the address to which the Kibana server will bind. IP addresses and host names are both valid values.
# The default is 'localhost', which usually means remote machines will not be able to connect.
# To allow connections from remote users, set this parameter to a non-loopback address.
server.host: "0.0.0.0"

# Enables you to specify a path to mount Kibana at if you are running behind a proxy.
# Use the `server.rewriteBasePath` setting to tell Kibana if it should remove the basePath
# from requests it receives, and to prevent a deprecation warning at startup.
# This setting cannot end in a slash.
#server.basePath: ""

# Specifies whether Kibana should rewrite requests that are prefixed with
# `server.basePath` or require that they are rewritten by your reverse proxy.
# This setting was effectively always `false` before Kibana 6.3 and will
# default to `true` starting in Kibana 7.0.
#server.rewriteBasePath: false

# The maximum payload size in bytes for incoming server requests.
#server.maxPayloadBytes: 1048576

# The Kibana server's name.  This is used for display purposes.
#server.name: "your-hostname"

# The URL of the Elasticsearch instance to use for all your queries.
elasticsearch.url: "http://150.109.32.106:9200"

# When this setting's value is true Kibana uses the hostname specified in the server.host
# setting. When the value of this setting is false, Kibana uses the hostname of the host
# that connects to this Kibana instance.
#elasticsearch.preserveHost: true

# Kibana uses an index in Elasticsearch to store saved searches, visualizations and
# dashboards. Kibana creates a new index if the index doesn't already exist.
kibana.index: ".kibana"

# The default application to load.
#kibana.defaultAppId: "home"

# If your Elasticsearch is protected with basic authentication, these settings provide
# the username and password that the Kibana server uses to perform maintenance on the Kibana
# index at startup. Your Kibana users still need to authenticate with Elasticsearch, which
# is proxied through the Kibana server.
#elasticsearch.username: "user"
#elasticsearch.password: "pass"

# Enables SSL and paths to the PEM-format SSL certificate and SSL key files, respectively.
# These settings enable SSL for outgoing requests from the Kibana server to the browser.
#server.ssl.enabled: false
#server.ssl.certificate: /path/to/your/server.crt
#server.ssl.key: /path/to/your/server.key

# Optional settings that provide the paths to the PEM-format SSL certificate and key files.
# These files validate that your Elasticsearch backend uses the same key files.
#elasticsearch.ssl.certificate: /path/to/your/client.crt
#elasticsearch.ssl.key: /path/to/your/client.key

# Optional setting that enables you to specify a path to the PEM file for the certificate
# authority for your Elasticsearch instance.
#elasticsearch.ssl.certificateAuthorities: [ "/path/to/your/CA.pem" ]

# To disregard the validity of SSL certificates, change this setting's value to 'none'.
#elasticsearch.ssl.verificationMode: full

# Time in milliseconds to wait for Elasticsearch to respond to pings. Defaults to the value of
# the elasticsearch.requestTimeout setting.
#elasticsearch.pingTimeout: 1500

# Time in milliseconds to wait for responses from the back end or Elasticsearch. This value
# must be a positive integer.
#elasticsearch.requestTimeout: 30000

# List of Kibana client-side headers to send to Elasticsearch. To send *no* client-side
# headers, set this value to [] (an empty list).
#elasticsearch.requestHeadersWhitelist: [ authorization ]

# Header names and values that are sent to Elasticsearch. Any custom headers cannot be overwritten
# by client-side headers, regardless of the elasticsearch.requestHeadersWhitelist configuration.
#elasticsearch.customHeaders: {}

# Time in milliseconds for Elasticsearch to wait for responses from shards. Set to 0 to disable.
#elasticsearch.shardTimeout: 30000

# Time in milliseconds to wait for Elasticsearch at Kibana startup before retrying.
#elasticsearch.startupTimeout: 5000

# Logs queries sent to Elasticsearch. Requires logging.verbose set to true.
#elasticsearch.logQueries: false

# Specifies the path where Kibana creates the process ID file.
#pid.file: /var/run/kibana.pid

# Enables you specify a file where Kibana stores log output.
#logging.dest: stdout

# Set the value of this setting to true to suppress all logging output.
#logging.silent: false

# Set the value of this setting to true to suppress all logging output other than error messages.
#logging.quiet: false

# Set the value of this setting to true to log all events, including system usage information
# and all requests.
#logging.verbose: false

# Set the interval in milliseconds to sample system and process performance
# metrics. Minimum is 100ms. Defaults to 5000.
#ops.interval: 5000

# The default locale. This locale can be used in certain circumstances to substitute any missing
# translations.
#i18n.defaultLocale: "en"

二、启动kibana

我们需要进入到kibana的bin目录下，通过命令: ./kibana启动
kibana默认访问端口是5601，在访问之前记得检查服务器是否放开5601这个端口
通过服务器ip+5601端口访问成功就会出现如下图:

访问成功

三、初步使用kibana

在结合es使用之前,你得先去了解一下如何存放一些数据到es里面去，就是去看看es文档如何去创建索引
3.1、找到kibana列表里面的Management

management
3.2、再点击Index Patterns,我们需要创建出一个索引模式
image.png
如上图出现一个baoming,这是我在es里面早就创建的一个索引,所以我们在上面填写baoming，意思是你想对哪个索引创造出一个模式，然后选择下一步
image.png
3.3、点击上图中的create index pattern之后，在选择下图中的discover
image.png
右边红色框的数据,是我在es创建baoming索引的数据，至此kibana的安装结束了,里面有很多功能，需要自己去深入了