Difference between revisions of "Logstash"
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** <code>[[brew cask install]] homebrew/cask-versions/adoptopenjdk8</code> | ** <code>[[brew cask install]] homebrew/cask-versions/adoptopenjdk8</code> | ||
− | logstash (command) | + | [[logstash (command)]] |
== Docker Logstash == | == Docker Logstash == |
Revision as of 07:43, 12 July 2020
Logstash is a light-weight, open-source, server-side data processing pipeline that allows you to collect data from a variety of sources, transform it on the fly, and send it to your desired destination. It is most often used as a data pipeline for Elasticsearch, an open-source analytics and search engine. Logstash integrates with Elasticsearch and has over 200 pre-built open-source plugins that can help to index your data.
Plugins: https://www.elastic.co/guide/en/logstash/current/output-plugins.html
- MacOS installation:
brew install logstash
brew cask install homebrew/cask-versions/adoptopenjdk8
logstash (command)
Docker Logstash
Official Logstash docker image is around 800 MB size.
docker pull docker.elastic.co/logstash/logstash:7.8.0 docker run --rm -it -v ~/pipeline/:/usr/share/logstash/pipeline/ docker.elastic.co/logstash/logstash:7.8.0
- Docker Logstash configurations:
- Config:
/usr/share/logstash/config/logstash.yml
- Pipeline configurations:
/usr/share/logstash/pipeline/
- Config:
Activities
- Review homepage: https://www.elastic.co/logstash
- Review Logstash logs
See also
- Logstash,
logstash (command), logstash.yml
, Logstash: docker run, Logstash changelog - Elastic: ELK,
Elasticsearch
,Logstash
,Kibana
, Installation, AWS Elasticsearch, Elastic SIEM, Elastic Beats,metricbeat
,filebeat
,journalbeat
, Elastisearch Service , Search guard, Elasticsearch logs, curator, ILM, Lumberjack protocol,aws_elasticsearch_domain
, KQL,elasticsearch.yml, elasticsearch-plugin, elasticsearch-certutil
, Elasticsearch release notes/changelog
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