Logstash is a log management tool that collects data from a variety of sources, transforms it on the fly, and sends it to your desired destination. It is often used as a data pipeline for Elasticsearch, an open-source analytics and search engine. Filebeat is a lightweight shipper for forwarding and centralizing log data. Once installed as an agent, it monitors the log files or locations you specify, collects log events, and forwards them for indexing, usually to Elasticsearch or Logstash. Now, also supports the use of Logstash and Filebeat as processing pipelines. This allows the collected and transformed data to be sent to Manticore just like to Elasticsearch. Manticore Let’s examine a simple example of a Logstash config file used for indexing , a standard log file of the Debian package manager. dpkg.log The log itself has a simple structure, as shown below: 2023-05-31 10:42:55 status triggers-awaited ca-certificates-java:all 20190405ubuntu1.1
2023-05-31 10:42:55 trigproc libc-bin:amd64 2.31-0ubuntu9.9 <none>
2023-05-31 10:42:55 status half-configured libc-bin:amd64 2.31-0ubuntu9.9
2023-05-31 10:42:55 status installed libc-bin:amd64 2.31-0ubuntu9.9
2023-05-31 10:42:55 trigproc systemd:amd64 245.4-4ubuntu3.21 <none> Logstash configuration Here is an example Logstash configuration: input {
  file {
    path => ["/var/log/dpkg.log"]
    start_position => "beginning"
    sincedb_path => "/dev/null"
    mode => "read"
    exit_after_read => "true"
   file_completed_action => "log"
   file_completed_log_path => "/dev/null"
  }
}

output {
  elasticsearch {
   index => " dpkg_log"
   hosts => ["http://localhost:9308"]
   ilm_enabled => false
   manage_template => false
  }
} Note that, before proceeding further, one crucial caveat needs to be addressed: Manticore does not support Log Template Management and the Index Lifecycle Management features of Elasticsearch. As these features are enabled by default in Logstash, they need to be explicitly disabled in the config. Additionally, the option in the config section must correspond to Manticore’s HTTP listen port (default is ). hosts output localhost:9308 Logstash Results After adjusting the config as described, you can run Logstash, and the data from the dpkg log will be passed to Manticore and properly indexed. Here is the resulting schema of the created table and an example of the inserted document: mysql> DESCRIBE dpkg_log;
+------------------+--------+---------------------+
| Field            | Type   | Properties          |
+------------------+--------+---------------------+
| id               | bigint |                     |
| message          | text   | indexed stored      |
| @version         | text   | indexed stored      |
| @timestamp       | text   | indexed stored      |
| path             | text   | indexed stored      |
| host             | text   | indexed stored      |
+------------------+--------+---------------------+

mysql> SELECT * FROM dpkg_log LIMIT 1\G

*************************** 1. row ***************************
id: 7280000849080746110
host: logstash-db848f65f-lnlf9
message: 2023-04-12 02:03:21 status unpacked libc-bin:amd64 2.31-0ubuntu9
path: /var/log/dpkg.log
@timestamp: 2023-06-16T09:23:57.405Z
@version: 1 Filebeat configuration An alternative way of collecting raw data is by using a Filebeat agent. Below is a Filebeat config to work with our example dpkg log: filebeat.inputs:
- type: filestream
  id: example
  paths:
	- /var/log/dpkg.log

output.elasticsearch:
  hosts: ["http://localhost:9308"]
  index:  "dpkg_log"
  allow_older_versions: true

setup.ilm:
  enabled: false

setup.template:
  name: "dpkg_log"
  pattern: "dpkg_log" Filebeat results Once you run Filebeat with this configuration, log data will be sent to Manticore and properly indexed. Here is the resulting schema of the table created by Manticore and an example of the inserted document: mysql> DESCRIBE dpkg_log;
+------------------+--------+--------------------+
| Field            | Type   | Properties         |
+------------------+--------+--------------------+
| id               | bigint |                    |
| @timestamp       | text   | indexed stored     |
| message          | text   | indexed stored     |
| log              | json   |                    |
| input            | json   |                    |
| ecs              | json   |                    |
| host             | json   |                    |
| agent            | json   |                    |
+------------------+--------+--------------------+


mysql> SELECT * FROM dpkg_log LIMIT 1\G
*************************** 1. row ***************************
id: 7280000849080753116
@timestamp: 2023-06-16T09:27:38.792Z
message: 2023-04-12 02:06:08 status half-installed libhogweed5:amd64 3.5.1+really3.5.1-2
input: {"type":"filestream"}
ecs: {"version":"1.6.0"}
host: {"name":"logstash-db848f65f-lnlf9"}
agent: {"ephemeral_id":"587c2ebc-e7e2-4e27-b772-19c611115996","id":"2e3d985b-3610-4b8b-aa3b-2e45804edd2c","name":"logstash-db848f65f-lnlf9","type":"filebeat","version":"7.10.0","hostname":"logstash-db848f65f-lnlf9"}
log: {"offset":80,"file":{"path":"/var/log/dpkg.log"}} Conclusion Thus, you can now easily index your log data using Manticore in conjunction with Logstash or Filebeat. The integration of Manticore with Logstash and Filebeat opens up new opportunities for easily indexing log data. Also published here.

This writer has a vested interest be it monetary, business, or otherwise, with 1 or more of the products or companies mentioned within.

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