ETL Webinar

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

2 The Elastic Stack RESTFul Elasticsearch Elastic Stack

3 Filebeat

4 Beats

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

6 Filebeat Go

7 Console File

8 Filebeat

9

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

11 Prospector Harvester Processor Output

12

13 - help -> Console -> Elasticsearch

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

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

16 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

17 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

18 Ingest Pipeline Filebeat -> Ingest Node -> Index

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

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

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

22 Apache2 Module

23 Tips

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

25 25

26 Logstash

27 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

28 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

29 Pipeline Worker(s) Input Queue Filter Output

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

31 T03:44:01.103Z client logged on filter { grok { match => { "message" => "%{NOTSPACE:timestamp} %{NOTSPACE:client_ip} %{GREEDYDATA:action}" } } }

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

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

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

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

36 $ cat conf/input.conf input { stdin {} } $ cat conf/filter.conf filter {} $ cat conf/output.conf output { stdout { codec=>rubydebug } } $ bin/logstash -f conf

37 # 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

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

39

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

41 Filebeat or Logstash? Ingest Node Elastic Stack

42 DB DWH

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