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Create documentation for API key storage for local machine and cloud solutions i.e. vmware on cloud and server. #1

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pizofreude opened this issue Jan 8, 2023 · 2 comments
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documentation Improvements or additions to documentation

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@pizofreude
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Hi, I think it would be neat if there is a documentation on API key storage for the above mention tools.

@matoval matoval self-assigned this Jan 8, 2023
@matoval matoval added the documentation Improvements or additions to documentation label Jan 8, 2023
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matoval commented Jan 8, 2023

@pizofreude Can you explain the cloud solutions part of this issue some more?

@pizofreude
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@pizofreude Can you explain the cloud solutions part of this issue some more?

sure, this resembles the Cloud computing for CalculiX. Utilizing a cloud computing platform, users can access software and data without having to install it on their local machines.

Outline Step to Setup CalculiX on Cloud

  1. Choose a cloud platform: First, you will need to decide which cloud platform you want to use. Both AWS and Azure offer a variety of options for running CalculiX in the cloud.
  2. Create a virtual machine: Next, you will need to create a virtual machine on your chosen cloud platform. This will be the server where you will install and run CalculiX.
  3. Install CalculiX: Once you have your virtual machine set up, you will need to install CalculiX on it. This will typically involve downloading the CalculiX source code and compiling it on your virtual machine.
  4. Set up a remote connection: In order to access CalculiX from your local machine, you will need to set up a remote connection to your virtual machine. This will typically involve installing and configuring a remote desktop client on your local machine.
  5. Use CalculiX: Once everything is set up, you should be able to use CalculiX on your virtual machine just as you would on a local machine. You can use a variety of tools and software, such as a pre-processor and post-processor, to create and analyze your FEA models.

Cloud Platforms for FEA

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • DigitalOcean
  • IBM Cloud
  • Oracle Cloud
  • Red Hat OpenShift
  • CloudSigma
  • OpenStack
  • Cloud Foundry
  • Heroku
  • Rackspace
  • Dimension Data Cloud
  • Interoute

So it's like installing docker or virtual machine on cloud computing platform, and then proceed to install this ai-chat-tool in their terminal.

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