public marks

PUBLIC MARKS with tag elasticsearch

This year

sebp/elk - Docker image for Elasticsearch, Logstash, and Kibana

by dzc
This Docker image provides a convenient centralised log server and log management web interface, by packaging Elasticsearch, Logstash, and Kibana, collectively known as ELK.

2016

2013

Améliorer les performances des applications web avec Elasticsearch – Clever Age, 100% digital

by srcmax
Le modèle de données relationnel de certaines applications web est parfois si complexe que les performances se dégradent rapidement en cas d’affluence. Pour répondre à cette problématique, nous abordons dans cet article la mise en oeuvre d’une solution moderne d’indexation : Elasticsearch.

Elastica - Elastica.io

by srcmax
Elastica.io is the documentation for Elastica. Elastica is a PHP client for the elasticsearch search engine/database. Elasticsearch is an Open Source (Apache 2), Distributed, RESTful, Search Engine built on top of Apache Lucene. Elastica itself is also open source and you can download or clone the source code on Github from ruflin/Elastica.

FacetView

by Xavier Lacot
FacetView is a pure javascript frontend for ElasticSearch or SOLR search indices.

logstash - open source log management

by Xavier Lacot & 1 other
An open source log management tool, which is able to parse, analyse, group and store logs into ElasticSearch

2012

Moving the Marketplaces to Elasticsearch - We build Envato

by Xavier Lacot
A very interesting feedback on Solr vs ElasticSearch. Mainly deals with indexing and search performance.

Slides: Battle of the Giants – Solr 4.0 vs ElasticSearch 0.20.0 « Sematext Blog

by holyver
Slides for the Battle of the Giants talk Rafał Kuc (@kucrafal) gave at ApacheCon EU 2012 are now up! And if you liked the above presentation, you may also want read our ElasticSearch vs. Solr series and see Scaling Massive ElasticSearch Clusters.

2011

elasticsearch - blog - Percolator

by Xavier Lacot
ElasticSearch's new "Percolator" feature, which enabled to index queries and find which documents match them : instead of sending docs, indexing them, and then running queries, one sends queries, registers them, and then sends docs and finds out which queries match that doc.

PUBLIC TAGS related to tag elasticsearch

analysis +   Apache Solr +   blog +   chef +   clevermarks +   comparison +   deploy +   deployment +   docker +   docker hub +   document +   elastic +   Elk +   engine +   facet +   index +   indexing +   javascript +   kibana +   log +   logstash +   lucene +   parsing +   performance +   performances +   php +   postgresql +   query +   scalable +   search +   solo +   solr +   storage +   switch +   tech talks +   tool +  

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