One post tagged with "filebeat"

curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-6.5.4-linux-x86_64.tar.gz
tar xzvf filebeat-6.5.4-linux-x86_64.tar.gz

filebeat.inputs:
- type: log
  enabled: true
  paths:
    - /mnt/projects/log_investigation/*.log
# Multiline log, it starts with: 2019-09-25 11:55:30.378|
  multiline.pattern: '^[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}\.[0-9]{3}\|'
  multiline.negate: true
  multiline.match: after
# Just in case multiple apps are using the same logstash.
  fields:
    app.name: server_app


#----------------------------- Logstash output --------------------------------
output.logstash:
  # Listen for logstash
  hosts: ["127.0.0.1:5044"]

filebeat test config -c filebeat.yml

filebeat run -c filebeat.yml

wget https://artifacts.elastic.co/downloads/logstash/logstash-7.3.2.zip
unzip logstash-7.3.2.zip

input {
  # Filebeat port
  beats {
    port => 5044
  }
}


filter {
grok {
  # Patterns for ndc and thread
  patterns_dir => ["./patterns"]
  # Regex
  match => { "message" => "%{TIMESTAMP_ISO8601:log_time}\|%{ISO8601_TIMEZONE:server_timezone}\|%{TZ:server_tz}\|%{HOSTNAME:server_hostname}\|%{WORD:app_name}\|%{LOGLEVEL:log_level}\|%{NDC:ndc}\|(?<logger>[A-Za-z0-9$_.]+)\|%{THREAD:thread}\|%{NUMBER:message_size}\|%{GREEDYDATA:message_logged}" }
}
# ndc will become an array:
kv {
# https://www.elastic.co/guide/en/logstash/current/plugins-filters-kv.html
# This works with values like this: "key1=value key2=value", it doesn't support "key" like we have for query.
  source => "ndc"
  target => "ndc_context"
  # You will be able to access them like this: [ndc_context][username]"
# "ndc_context" => {
#            "interface" => "client",
#         "ke2" => "value",
#             "username" => "chreniuc"
#     },
}

# Convert to UTC(Logs may come from different servers with different timezones)
mutate {
  add_field => [ "log_time_tz", "%{log_time} %{server_timezone}" ]
}
date {
  # log_time_tz looks like this: 2019-09-25 11:55:30.378 -0500
  match => [ "log_time_tz" , "yyyy-MM-dd HH:mm:ss.SSS Z" ]
  target =>["log_time_tz"]
  timezone => "UTC"
}

# Get the date in this format: dd-mm-yyyy(We will use this for the log file name)
# The log files will be per day
mutate
{
  # Convert the date back to string.
  convert => ["log_time_tz","string"]
}
# Extract the date
grok {
  # Patterns for LOG_DATE
  patterns_dir => ["./patterns"]
  # 2019-10-02T21:09:45.290Z
  match => { "log_time_tz" => "%{LOG_DATE:log_date}%{GREEDYDATA:ignored_log_date}" }
}

# We can remove the unwanted fields afterwards.
mutate {
 remove_field => [ "log_time_tz" ]
 remove_field => [ "ignored_log_date" ]
 # We have the ndc context in "ndc_context" so we can avoid sending this forward.
 remove_field => [ "ndc" ]
}
}

output {
  # Print on console, just for debug purpose
  stdout {
    codec => rubydebug
  }
  # This is how you access nested fields
  if ([ndc_context][username] != "") { # Centralise log files per user and per days from multiple servers.
    file {
      path => "/mnt/projects/log_investigation/out_put_logs/%{log_date}/%{[ndc_context][username]}.log"
      codec => line { format => "%{message}"}
    }
}

}

NDC ([0-9A-Za-z=\+\-\s\_])*

THREAD 0x[0-8a-f]+

LOG_DATE [0-9]{4}\-[0-9]{2}\-[0-9]{2}

logstash -f logstash.conf

echo '2019-09-25 11:55:30.378|-0500|CST|server|server_app|INFO|interface=client|request_response|0x7f7461f38700|295|Message' >> file.log

# Multiline:

printf '2019-09-25 11:55:30.378|-0500|CST|server|server_app|INFO|interface=client username=username key2=value query|request_response|0x7f7461f38700|295|Message\ndada\ndas\n' >> file.log 

{                                                                                                                                                                                             
               "host" => {                                                                                                                                                                    
        "name" => "chreniuc-sv"                                                                                                                                                               
    },                                                                                                                                                                                        
              "input" => {
        "type" => "log"
    },
             "thread" => "0x7f7461f38700",
             "fields" => {
        "app" => {
            "name" => "server_app"
        }
    },
             "logger" => "request_response",
         "@timestamp" => 2019-10-02T22:41:40.464Z,
               "tags" => [
        [0] "beats_input_codec_plain_applied"
    ],
     "message_logged" => "Message\ndada\ndas",
           "log_time" => "2019-09-25 11:55:30.378",
           "app_name" => "server_app",
             "offset" => 6490,
           "@version" => "1",
    "server_timezone" => "-0500",
    "server_hostname" => "server",
           "log_date" => "2019-09-25",
               "beat" => {
            "name" => "chreniuc",
        "hostname" => "chreniuc",
         "version" => "6.5.4"
    },
                "log" => {
        "flags" => [
            [0] "multiline"
        ]
    },
         "prospector" => {
        "type" => "log"
    },
          "server_tz" => "CST",
       "message_size" => "295",
            "message" => "2019-09-25 11:55:30.378|-0500|CST|server|app|INFO|interface=client username=username key2=value query|request_response|0x7f7461f38700|295|Message\n
dada\ndas",
             "source" => "/mnt/projects/log_investigation/file.log",
          "log_level" => "INFO",
        "ndc_context" => {
            "username" => "username",
        "key2" => "value",
           "interface" => "client"
    }
}