SuiteCRM by Bitnami running on ECS with BD RDS in AWS

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1

Good morning,
I would like to know for the SuiteCRM product on AWS, for a recurring access of approximately 500 users, what capacities they recommend must be approved to deploy the service on ECS (Elastic Container Service) for the application topic (How many Vcpus and how much RAM for each container or containers) and what capabilities for the Database if I deploy it in MySQL RDS.
In addition, could you please indicate the documentation for the deployment of SuiteCRM by Bitnami in ECS with BD in AWS RDS.
Thanks!

2

Check this. It should help you to get an idea:

https://support.sugarcrm.com/Resources/Environments/Sugar_On-Site_Sizing_Guide/

3

Good afternoon,
Thanks for the information, it clarifies several doubts, but I need to know the capabilities in terms of deployment in AWS containers (ECS Fargate) to have 100 users created and approximately 500 that will enter on a recurring basis, the values could change significantly and in the The document in the link does not touch on the subject of deployment in containers of SuiteCRM, which I suppose behaves in a similar way to SugarCRM which was what they attached.

I appreciate the help, and I am waiting for your comments.

4

SuiteCRM is based on SugarCRM. Specifications for both is very similar.

5

Ok, thanks for the answer, and regarding the capacities required for deployment on AWS containers (ECS Fargate) to have 1000 users created and approximately 500 who will enter on a recurring basis that they recommend or where they could validate given that in the document that They inform us they do not speak of environment about containers.

6

Ok, thanks for the answer, and regarding the capacities required for deployment on AWS containers (ECS Fargate) to have 1000 users created and approximately 500 who will enter on a recurring basis that they recommend or where they could validate given that in the document that They inform us they do not speak of environment about containers.

7

AWS ECS are always expandable so you can start with t3.large as a base setup and monitor the system response when you have peak usage. review the AWS dashboard report if you see any issues in the usage.