ETL Webinar

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Transcription:

Logstash Filebeat ETL February 23rd, 2018 Kosho Owa, Principal Solution Architect Jun Ohtani, Developer Evangelist

The Elastic Stack RESTFul Elasticsearch Elastic Stack

Filebeat

Beats

The Beats family Packetbeat Network data Metricbeat Metrics Winlogbeat Windows Event Logs +40 community Beats Auditbeat Filebeat Heartbeat Audit data Log files Uptime monitoring

Filebeat Go

Console File

Filebeat

https://www.elastic.co/downloads/beats/filebeat

filebeat - filebeat.yml / filebeat.reference.yml kibana Kibana module / modules.d Filebeat Module fields.yml

Prospector Harvester Processor Output

- help -> Console -> Elasticsearch

Filebeat E"T"L? Filebeat -> Ingest Node -> Index

- Extract drop_events drop_fields, keep_fields add_?_metadata cloud, docker, kubernetes

Filebeat -> Ingest Pipeline -> Index Beats?pipeline=ingest_pipeline_id Elasticsearch { field1 : value1, field2 : value2, field3 : value3 } Ingest Nodes { a : value4, b : value5, c : value6, d : value7 } Master / Data Nodes

Ingest Pipeline { field1 : value1, field2 : value2, field3 : value3 } ingest_node1 grok date set { a : value4, b : value5, c : value6, d : value7 } pipeline = set of processors

Ingest Pipeline Filebeat -> Ingest Node -> Index

Filebeat Module Filebeat -> Ingest Node(Es) -> Kibana

Module Apache2 Auditd Icinga Kafka MySQL Nginx Osquery PostgreSQL Redis System Traefik

Filebeat Module Module = Beats Elasticsearch Kibana Pipeline settings Index template Dashboard, Visualization, Index Pattern

Apache2 Module

Tips

Tips JSON Elastic Cloud with Cloud ID Elastic Cloud filebeat test config filebeat test output filebeat export

https://github.com/johtani/elastic_stack_examples/etl_webinar_20180223 25

Logstash

Logstash CloudWatch, file, ganglia, golf, github, PubSub, graphite, HTTP, IMAP, IRC, JDBC, Jms, JMX, Kafka, Kinesis, Log4j, pipe, Puppet, RabbitMQ, Redis, RSS, S3, Salesforce, SNMP trap, SQLite, SQS, stdin, STOMP, syslog, TCP, Twitter, UDP, UNIX, vans, web socket, WMI, XMPP/ Jabber Elasticsearch

Inputs Filters Outputs Beats TCP UDP HTTP JDBC HTTP Poller Structure Transform Normalize GeoIP Enrichment External Lookup CIDR & DNS lookups Elasticsearch TCP UDP HTTP File S3

Pipeline Worker(s) Input Queue Filter Output

# logstash.conf input { file { path => "/tmp/log.txt" } } filter {} output { stdout { codec=>rubydebug } } $ bin/logstash -f logstash.conf

2011-04-19T03:44:01.103Z 192.168.1.1 client logged on filter { grok { match => { "message" => "%{NOTSPACE:timestamp} %{NOTSPACE:client_ip} %{GREEDYDATA:action}" } } }

filter { grok { match => { "message" => \ "%{TIMESTAMP_ISO8601:timestamp} %{IP:client_ip} %{GREEDYDATA:action}" } } date { match => [ "timestamp", "ISO8601" ] } }

filter { translate { field => "client_ip" destination => "user" dictionary => [ "192.168.1.1", "User A", "192.168.1.2", "User B" ] fallback => "Unknown user" } }

input { stdin { codec => json } } filter {} input { stdin {} } filter { json { source => "message" } }

Tips GROK CSV CSV filter GROK - Ruby on Rails, Java stack trace Multiline codec Netflow Codec Netflow "module"

$ cat conf/input.conf input { stdin {} } $ cat conf/filter.conf filter {} $ cat conf/output.conf output { stdout { codec=>rubydebug } } $ bin/logstash -f conf

# pipelines.yml - pipeline.id: my-pipeline_1 path.config: "/etc/path/to/p1.config" pipeline.workers: 3 - pipeline.id: my-other-pipeline path.config: "/etc/different/path/p2.cfg" queue.type: persisted

fiter { if "_grokparsefailure" in [tags] { drop {} } }

Persistent Queues queue.type: persisted queue.max_bytes: 4gb Dead Letter Queues dead_letter_queue input dead_letter_queue.enable: true

Filebeat or Logstash? Ingest Node Elastic Stack

DB DWH