# Architecture production Elasticsearch

**URL:** https://discuss.elastic.co/t/architecture-production-elasticsearch/135086
**Category:** Elasticsearch
**Created:** [June 8, 2018, 5:51am UTC](https://discuss.elastic.co/t/architecture-production-elasticsearch/135086 "2018-06-08T05:51:10Z")
**Posts on this page:** 3
**Page:** 1

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### Author: ![br14nb0](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/br14nb0/32/28814_2.png) [@br14nb0](https://discuss.elastic.co/u/br14nb0)
#### Post date: [June 8, 2018, 5:51am UTC](https://discuss.elastic.co/t/architecture-production-elasticsearch/135086/1 "2018-06-08T05:51:10Z")

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I am planning to ingest 2500-3000 EPS per day with three-month retention. I calculated approximately I need 60-80TB for that retention rate. I intend to have 2 Elasticsearch nodes, maybe 3. Do you have any advice or recommended architectures I can apply for my case ? Thanks

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### Author: ![Christian\_Dahlqvist](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/christian_dahlqvist/32/4617_2.png) [@Christian\_Dahlqvist](https://discuss.elastic.co/u/Christian_Dahlqvist)
#### Post date: [June 8, 2018, 6:55am UTC](https://discuss.elastic.co/t/architecture-production-elasticsearch/135086/2 "2018-06-08T06:55:09Z")

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The amount of data you can store on an Elasticsearch node often comes down to how efficiently you can optimise heap usage. There are quite a few different things that consume heap space, e.g. indexing, querying, field data and shard overhead, and you need to find a balance that works for your use case.

I would recommend looking at [this Elastic{ON} talk](https://www.elastic.co/elasticon/conf/2016/sf/quantitative-cluster-sizing) and read [this blog post around shards and sharding](https://www.elastic.co/blog/how-many-shards-should-i-have-in-my-elasticsearch-cluster) to get a better idea about how to correctly size the system. Having said that, I doubt you will be able to handle the data volumes you mentioned on a cluster that size, especially as the nodes will be indexing data as well as serving queries.

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### Author: ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2018, 7:05am UTC](https://discuss.elastic.co/t/architecture-production-elasticsearch/135086/3 "2018-07-06T07:05:38Z")

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