ELK Deployment; CPU,Memory,Disk

ELK Deployment; CPU,Memory,Disk



I would like to deploy Elasticsearch, logstash and kibana in 3 different flavors, the characteristics of each one:
o 32vCPU, 384Go RAM et 900Go HDD



I would like to supervise 100 servers so approximately 33 servers in each flavors.



Do you think it's a good idea to use this configuration? and it's not a problem to use this huge capacity of memory?
Another question how many nodes should I use?




1 Answer
1



without details its hard to give you global advice but Elasticsearch recommend to never cross 31Gb for RAM. Here are the reasons why



You should read all the page, they explain why it is generally far better to have a lot of small/medium hosts instead of a few big ones.



I also recommend you to read this post, it will give you some insight on how to design an Elastic Cluster especially the distinction between roles in a cluster and the difference in hardware needed.



For your question :



Another question how many nodes should I use?



There is no good answer without knowing the volume of data, read/write etc etc...



And last, I hardly doubt that using the same configuration for kibana / logstash / elastic hosts is a good idea. They just don't do the same sort of processing. You should start with small configuration and update it incrementally when you will have real data.






Oh I see! so it's better to use for example a small machine with only 8 vCPUs,64GB RAM, and 250 Go HDD? In fact I would like to store data from different servers each one generate between 1go and 10 go per day, and I would like to store the data 7 days. That's why I would know if logstash can index data from (5-10 servers) and how many nodes should I use to configure Elasticsearch.ps: each server generate between 20-100 files/minutes .

– C.med
Sep 11 '18 at 9:00






You will only know after trying i think, I have not enough experience with logstash to give you advice on that, sorry :(

– Pierre Mallet
Sep 11 '18 at 9:47



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