Filebeat是一个日志文件托运工具，在你的服务器上安装客户端后，filebeat会监控日志目录或者指定的日志文件，追踪读取这些文件（追踪文件的变化，不停的读），并且转发这些信息到elasticsearch或者logstarsh中存放。
以下是filebeat的工作流程：当你开启filebeat程序的时候，它会启动一个或多个探测器（prospectors）去检测你指定的日志目录或文件，对于探测器找出的每一个日志文件，filebeat启动收割进程（harvester），每一个收割进程读取一个日志文件的新内容，并发送这些新的日志数据到处理程序（spooler），处理程序会集合这些事件，最后filebeat会发送集合的数据到你指定的地点。
可以理解为他是一个轻量级的logstarsh，效率更高。
felibeat官网
https://www.elastic.co/cn/products/beats/filebeat
1.首先选择选择filebeat的docker镜像： 我此处选择的是prima/filebeat
2.创建filebeat配置文件，filebeat.yml，放入到/home/filebeat/文件夹中，filebeat.yml配置文件如下：
###################### 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 prospectors =============================
filebeat.prospectors:
# Each - is a prospector. Most options can be set at the prospector level, so
# you can use different prospectors
for
various configurations.
# Below are the prospector specific configurations.
- type: log
# Change to
true
to enable
this
prospector configuration.
enabled:
true
# Paths that should be crawled and fetched. Glob based paths.
#配置filebeat要读取的log文件路径，有多个的话可以使用通配符或者多个paths节点配置
paths:
- /home/jenkins/workspace/*/docker/*.log
#- c:\programdata\elasticsearch\logs\*
# Exclude lines. A list of regular expressions to match. It drops the lines that are
# matching any regular expression from the list.
#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.
#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.
#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
### Multiline options
# Mutiline can be used
for
log messages spanning multiple lines. This is common
#
for
Java Stack Traces or C-Line Continuation
# The regexp Pattern that has to be matched. The example pattern matches all lines starting with [
#multiline.pattern: ^\[
# Defines
if
the pattern set under pattern should be negated or not. Default is
false
.
#multiline.negate:
false
# Match can be set to
"after"
or
"before"
. It is used to define
if
lines should be append to a pattern
# that was (not) matched before or after or as
long
as a pattern is not matched based on negate.
# Note: After is the equivalent to previous and before is the equivalent to to next in Logstash
#multiline.match: after
#============================= Filebeat modules ===============================
#modules也没有使用到，暂时不知道怎么使用，本人也注释掉了
#filebeat.config.modules:
# Glob pattern
for
configuration loading
# path: ${path.config}/modules.d/*.yml
# Set to
true
to enable config reloading
# reload.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:
3
#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` CLI flag or 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"
#============================= 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 ------------------------------
#本人没有使用elasticseach，注释掉了
#output.elasticsearch:
# Array of hosts to connect to.
# hosts: [
"192.168.1.33:9200"
]
# Optional protocol and basic auth credentials.
#protocol:
"https"
#username:
"elastic"
#password:
"changeme"
#----------------------------- Logstash output --------------------------------
output.logstash:
# The Logstash hosts，elk服务器logstash开放的地址和端口，嫌使用ssl的方式太麻烦，内网使用，所以ssl的相关配置也注释掉了
hosts: [
"172.16.20.4:5044"
]
logging.metrics.enabled:
false
# 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"
#================================ Logging =====================================
# Sets log level. The
default
log level is info.
# Available log levels are: critical, 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"
,
#
"publish"
,
"service"
.
#logging.selectors: [
"*"
]
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filebeat说明:
filebeat.yml 挂载为 filebeat 的配置文件
logs 为 容器挂载日志的目录
registry 读取日志的记录，防止filebeat 容器挂掉，需要重新读取所有日志
3.切换到elk服务器，配置logstash端口接收部分：
1）执行以下命令，进入到elk容器内部
docker exec -it elk（本人elk的docker容器名字） /bin/bash
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2）修改logstash的input配置文件(也可以通过使用苏追究文件映射的方式来处理)
root
@b15eb2b7fdbb
:cd /etc/logstash/conf.d
root
@b15eb2b7fdbb
:vim
02
-beats-input.conf
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将文件内容修改成以下内容即可：
client_inactivity_timeout为客户端连接超时时间，默认是5秒貌似。
input {
beats {
port =>
5044
client_inactivity_timeout =>
36000
}
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4.重启elk
docker restart elk
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5.切换到filebeat客户端机器，运行以下命令，启动filebeat docker容器
docker run -d --name filebeat -v /home/filebeat/filebeat.yml:/filebeat.yml -v /home/jenkins/workspace/:/home/jenkins/workspace/ --net=host prima/filebeat
6.打开kibana管理页面：http://ip:5601 新建filebeat-*
以下为举例：
注意：需要将项目的app.log挂载在docker
version:
"3"
#docker-compose版本，勿修改
services:
district: #docker-compose编排名称，一般同微服务名称，注意不要与其他服务重名
image:
"openjdk:8-jre-alpine"
#docker镜像名
hostname: district #docker容器主机名
container_name: district #docker容器名
volumes: #挂载目录
- ./app.jar:/app.jar #要运行的jar包
- ./app.log:/app.log #【挂载app.log】
- ./run.sh:/run.sh #启动脚本
ports: #端口映射
-
"9108:9108"
environment: #配置环境变量
- TZ=Asia/Shanghai #设置时区
command: sh /run.sh #设置启动命令
network_mode: bridge #网络模式：host、bridge、none等，我们使用bridge
restart: unless-stopped #自动启动：unless-stopped、always等，unless-stopped为非正常停止则自动启动
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注意：需要将项目的日志打印至app.log
java -jar /app.jar >/app.log
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在我们的项目代码中添加打印日志
log.info(
"测试日志收集第一行"
+depth);
log.error(
"test"
+depth);
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在调用时就可看到
