Who can figure out if something is wrong or not?

Hi,

I am unexperienced on Elastic ,I have used only twice on some of my side projects. But my company uses it on AWS Opensearch. I am a cloud engineer ,therefore my task has been to check costs ,and optimize.
I came upon an Opensearch Cluster on production ,that has 26 nodes size : r5.large.search :: 2Vcpu , 16Gb Ram.

I know for sure that there is a problem with either the setup or how applications use this cluster, because I know we do not have that much data to process, index or search.

The cpu stays on each 3% , and Memory stays 97% on each Node.
Now I have attached a screen shot that shows the nodes.


Indexing latency is 160-240 in only one node. All other nodes is 0, beside 3-4 nodes which is from 10-60.

Can someone tell from it if we have a problem? If you need anything else from the metrics, let me know :slight_smile:

Hi @MaXiMiLian

You really need to visit the Opensearch Community... the products are vastly different these days.. so we don't answer Opeansearch questions here

Hi and thank you for your reply.
I will open a ticket over there as you suggested.

Good luck with your opensearch query.

This (excellent) summary of a cloud engineer's role made me chuckle. Concise, and on point.

I don't have any plans to go into the depths of opensearch or elasticsearch.
But I know something is wrong because we do not have that much data to work with. But I thought someone might see the metrics and say something is off.

About my role , I just want to see where the money is going and if there is a way to optimise our setup. I like to automate with as little money as possible.

Remove a node every couple of days from the cluster. Until someone notices that something “seems slower”.

Then stop.

You’ll have optimised AND saved money.

Suggestion is , slightly, in jest.

See if you can find someone involved in provisioning the cluster , and ask them how they arrived at the size of your cluster. There’s likely an architect involved. Maybe even a design document with some numbers. Compare with reality.

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