SDK in the Cloud

Once a cluster is up, you need to upload the SDK and the project to it.

Loading the SDK to a Cluster

To load a project in the cloud the first step is to upload the SDK images to a s3 bucket. This step may take a while but it is only required to be done once per bastion. The same images will be reused for each cluster.

genvid-sdk upload-images-sdk

The next step is to set up the SDK.

genvid-sdk -c myclusterid setup

After this step, some services are available in Cluster-UI. You can open Cluster-UI with the following command.

genvid-sdk -c myclusterid monitor

Although the list of jobs is empty, you can find the list of nodes at the top. It may take some time for some nodes to show up, like the game node. It can take up to 55 minutes for a Windows server to finish its configuration but the average is more between 15 and 25 minutes. If they don’t, check with your cloud provider to see if the node will eventually come up or if there are other issues with it.

Even without all the nodes available, you can load the SDK configuration into the cluster:

genvid-sdk -c myclusterid load-config-sdk

The SDK definition is loaded and now there is one job: services.

Building the Tutorial Sample for the Cloud

Assuming the Docker host was set up correctly, you can build the images for the tutorial. (See Building with Docker for more information.)

1. Prepare for building.

   py tutorial.py prepare
   

2. Build the project and the website.

   py tutorial.py build-cloud
   

3. Upload the images and load the project definition.

   py tutorial.py -c myclusterid upload-images --update-config
   py tutorial.py -c myclusterid load
   

   After this step, the images are available on S3 and the project configuration is loaded and ready to use in the cloud.

4. Open the Jobs page.

   genvid-sdk -c myclusterid monitor
   

5. Click the Start all button.

6. Click the Tutorial Demo link.

7. Check that everything is working correctly.

When you’re finished click the Stop All button to stop the services.

Note that the Unity Sample and Unreal Cube sample can be run in the cloud with similar steps.