AWS Resource Allocation Limits for PAT Analysis

asked 2021-11-23 20:47:10 -0500

Kushan_26
71 ●3

updated 2022-02-23 12:20:14 -0500

__AmirRoth__

4436 ●5 ●17 http://bleedinggreenna...

Does anyone know what are the resource requirements to deploy OpenStudio-server on AWS and run a PAT simulation in cloud server mode?

I'm having trouble with changing the AWS resource types other than what's recommended by NREL. I can successfully run a simulation using the settings stated in the GitHub page. The main failure occurs when trying assigning pods after changing the AWS instance type. For example, I tried changing t2.xlarge to t4g.xlarge instance which seems to be similar. image description

I would like to know what instance types we could use and what are the minimum requirements to consider for the following resources when allocating them.

Minimum number of CPU's in a Node
Minimum number of Nodes
Minimum Storage for a Node (Default is 80GB)
openstudio cluster: Minimums of nfs-server-provisioner.persistence.size and db.persistence.size (Default is 200GB)

answered 2021-11-30 14:57:13 -0500

tijcolem
161 ●1 ●2

Hi and thanks for the questions.

1 ) Currently, the minimum number of nodes is 3x t2.xlarge instances or equivalent sized node (4 vcpu, 16gb mem per node). We are working to slim this down a bit to get everything to fit on 2 t2.xlarge instances.

2 ) 3 t2.xlarge or equivalent.

3 ) Ephemeral storage per node could prob be less than 80GB but I would stick with this.

4 ) The defaults should work fine, but if you are running a very large analysis, or this is a long running cluster you can increase these depending on how much data is being written to the volume.

As for your question about switching to t4g.xlarge, I don't see that as problem as far as helm/k8s is concerned, but I would make sure this is node instance type is compatible with EKS in AWS. If you post the AWS error I'd be happy tp help where I can. I am assuming that this is AWS related problem and not with the server-helm chart.

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Hello, Thank you for verifying the resource limits. I did some research about t4g instances and looks like they are not supported by AWS stacks. AWS is working on adding support for these instances. [https://repost.aws/questions/QUZX2cCw...]

Kushan_26 ( 2021-12-07 12:15:39 -0500 )edit

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