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ElasticSearch Ecosystem

People to see and places (links) to go about the Elastic (ELK) stack

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Overview

This page lists videos and links to people within (the ecosystem) around Elastic Stack from the Elastic company.

This is one of several pages about the Elastic Stack:

  1. Elastic Stack ecosystem of people, websites, tutorials
  2. Elastic Stack architecture and installation
  3. Elastic Scaling (the database engine)
  4. Elastic Query (via REST API)
  5. Elastic Kibana (the visualization engine, like Grafana)
  6. Elastic Logstash to assemble and filter data from Beats
  7. Elastic Beats to collect data from servers

BTW, Elastic in the context of ElasticSearch is not affiliated with “Elastic Beanstalk” from Amazon web services (AWS).

Official Community

https://www.elastic.co/community is the Elastic company’s official home for people to interact.

Support

As a company, Elastic makes money from support and training services.

elasticsearch.com/support

Discussions

Sign-up at https://discuss.elastic.co/ appears in email as [Discuss Elasticsearch, Logstash and Kibana | Elastic] is built on the Discourse platform.

Email logstash-users@googlegroups.com or elasticsearch-users@googlegroups.com (no kibana-users@googlegroups.com)

To chat on IRC, if you have a Mac and use Textual: type freenode in Destination, then add channels #logstash and #elasticsearch (no #Kibana), then click Start chatting.

QUESTION: Is there a Slack channel for ES?

Stackoverflow searchs

Twitter searches

Accounts:

Individual components:

News

Local Live Meetups

LinkedIn Group

Follow Elastic.co as a company in LinkedIn. This page also has company announcements.

The Elasticsearch LinkedIn Group was started in 2010 by Shay Banon (Elastic.co CEO) when he moved from Israel.

  • VIDEO: Why we built ElasticSearch June 7, 2013
  • @kimchy
  • https://www.linkedin.com/in/shaybanon
  • http://thedudeabides.com/articles/
  • http://stackoverflow.com/questions/2271600/elasticsearch-sphinx-lucene-solr-xapian-which-fits-for-which-usage/2288211#2288211

The group is managed by Elastic.co Daniel Palay.

Solution Architects in Sales Engineering

Chad Pryor in Seattle:

  • Chadwiki.com

Steve Mayzak-Director of Sales Engineering @ ElasticSearch did https://www.youtube.com/watch?v=uxfvNwl_MGc What is ELK and how can it help you discover, visualize and analyze your data? Oct. 14, 2014

Elastic keeps slidedecks from presentations at their Tours here.

Demo

  • https://github.com/elastic/demo used Virtualbox and Vagrantup.

Elastic Rock Stars

  • https://www.elastic.co/videos

  • Zachary (Zach) Tong (@ZacharyTong), Shane Connell (previously at HP Autonomy)y, is an Elastic developer. He demo’d pipeline aggregations 17:18 into video Elastic 2.0 Overview presented on 28 Oct 2015.

  • Zach co-wrote with Clinton Gormley the Feb 7, 2015 book: Online: Elasticsearch: The Definitive Guide formatted from a GitHub repo. $22.55 from Amazon. Get it direct from O’Reilly.

    Clinton Gormley at #bbuzz 2014 [38:37]

    Getting Down and Dirty with ElasticSearch by Clinton Gormley at NoSQL matters Conference

  • at Elasticsearch https://www.youtube.com/watch?v=Epe63Uu-IO0&spfreload=1 Mar 17, 2015

  • Shane Connell (previously at HP Autonomy), Sr Product Manager of Elasticsearch presented 28 Oct 2015 video Elastic v2.0 overview

  • Tim and Anna Roes in Germany: https://www.timroes.de/2015/02/07/kibana-4-tutorial-part-1-introduction/

  • Jeff Sogolov: https://www.youtube.com/watch?v=Kqs7UcCJquM Visualizing Logs Using ElasticSearch, Logstash, and Kibana May 16, 2014

  • Agitare Technologies https://www.youtube.com/watch?v=uxfvNwl_MGc What is ELK and how can it help you discover, visualize and analyze your data?

  • Spencer Alger (@spencerAlger) His intro to the ELK Stack Feb 25, 2015 https://www.youtube.com/watch?v=QyWZ_wQEM9k He works on JS libraries at Elastic http://github.com/spalger

  • Alberto Paro wrote ElasticSearch Cookbook $20.44 http://www.amazon.com/ElasticSearch-Cookbook-Alberto-Paro/dp/1782166629

  • Radu Gheorghe (Author), Matthew Lee Hinman (Author), & 1 more Elasticsearch in Action Paperback – August 31, 2015 http://www.amazon.com/Elasticsearch-Action-Radu-Gheorghe/dp/1617291625/

  • https://www.youtube.com/watch?v=RuUFnog29M4 ELK: Elasticsearch, Logstash and Kibana at Wikimedia

  • https://www.youtube.com/watch?v=bMi2g3uEAxU ElasticSearch in Production: lessons learned by LuceneSolrRevolution

  • David Pilato @dadoonet developer | evangelist @ elastic

External to Elastic.co

On Pluralsight ($249/year), JP Toto () has created several videos:

On Udemy:

Working with Elasticsearch price: $50

Others:

Jobs

Alternatives

Elasticsearch is written in Java and uses the Lucene library internally for indexing and searching.

http://lucene.apache.org/solr/

Essentially, Elastic Stack aims to make full-text search easy by hiding the complexities of Lucene behind a simple, coherent, RESTful API and UI.

  • http://stackoverflow.com/questions/2271600/elasticsearch-sphinx-lucene-solr-xapian-which-fits-for-which-usage/2288211#2288211 is Shay Bannon’s answer.

Video class

Will Button’s

  • video course “Getting Started with Algolia Instant Search

  • video course Getting Started with Elasticsearch from May 3, 2017 references elasticsearch 12.1.3 using code from this GitHub repo. It makes use of The Simpsons datast which contains the characters, locations, episode details, and script lines for approximately 600 Simpsons episodes, dating back to 1989.

  • https://egghead.io/lessons/tools-close-and-open-an-elasticsearch-index
  • https://egghead.io/lessons/tools-add-data-to-elasticsearch
  • https://egghead.io/lessons/tools-search-for-data-in-elasticsearch-using-the-_search-endpoint
  • https://egghead.io/lessons/elasticsearch-get-data-from-elasticsearch-by-id-using-http
  • https://egghead.io/lessons/tools-paginate-through-search-results-in-elasticsearch
  • https://egghead.io/lessons/tools-update-data-in-elasticsearch
  • https://egghead.io/lessons/tools-search-elasticsearch-using-query-parameters
  • https://egghead.io/lessons/tools-search-for-data-in-elasticsearch-using-querydsl-language
  • https://egghead.io/lessons/tools-create-an-alias-for-an-elasticsearch-index
  • https://egghead.io/lessons/tools-create-an-index-using-the-elasticsearch-api
  • https://egghead.io/lessons/tools-delete-an-index-using-the-elasticsearch-api
  • https://egghead.io/lessons/tools-monitor-elasticsearch-cluster-health-and-status-with-the-_cat-api
  • https://egghead.io/lessons/tools-bulk-import-data-into-elasticsearch
  • https://egghead.io/lessons/tools-understand-the-role-of-jvm-heap-in-elasticsearch-performance
  • https://egghead.io/lessons/tools-reindex-data-from-an-existing-elasticsearch-index
  • https://egghead.io/lessons/tools-reindex-data-from-an-existing-elasticsearch-index

More

This is one of a series on Elastic Stack and monitoring:

  1. Elastic Stack ecosystem of people, websites, tutorials
  2. Elastic Stack architecture and installation
  3. Elastic Scaling (the database engine)
  4. Elastic Query (via REST API)
  5. Elastic Kibana (the visualization engine, like Grafana)
  6. Elastic Logstash to assemble and filter data from Beats
  7. Elastic Beats to collect data from servers

ElasticSearch Ecosystem was published on .