Elasticsearch in Pipedrive

dc.contributor.advisorPfahl, Dietmar Alfred Paul Kurt, juhendaja
dc.contributor.advisorSepp, Andreas, juhendaja
dc.contributor.authorAstok, Harald
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-11-07T13:31:35Z
dc.date.available2023-11-07T13:31:35Z
dc.date.issued2020
dc.description.abstractHaving a proper and effective search functionality in SaaS application is becoming more and more important. For example, eBay gets 3.5 billion search queries every day and querying directly from relational databases can become very complicated and resource consuming with such volumes. One way to handle scalable searchable data is to use the open-source Elasticsearch search engine. This thesis provides a case study of the adaption of Elasticsearch in an Estonian based SaaS start-up Pipedrive and an overview of the author's participation in the process. It analyses previous solutions that were implementing the usage of Elasticsearch, what technologies they were using and what problems emerged. Then it describes in detail what the current architecture looks like and how Elasticsearch is configured for Pipedrive.et
dc.identifier.urihttps://hdl.handle.net/10062/94087
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectElasticsearchet
dc.subjectApache Kafkaet
dc.subjectdata streamset
dc.subjectmicroserviceet
dc.subjectsearchet
dc.subjectindiceset
dc.subjectagile workflowet
dc.subjectproject managementet
dc.subjectscalable software developmentet
dc.subjectdesigning scalable architectureet
dc.subject.othermagistritöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titleElasticsearch in Pipedriveet
dc.typeThesiset

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