Hi All
I trust you are well.
I am new to VIKTOR and looking to push a Dynamo workflow to the platform. I want to query something before attempting to push my script to VIKTOR. Does VIKTOR support Dynamo custom packages/nodes, or must all the logic in the Dynamo script be built out of out-of-the-box nodes?
Thank you for your assistance.
Hi Bayo,
Welcome to the community! And thanks for using the community for your questions.
Integrating with Dynamo Sandbox is similar to integrating with most software with the VIKTOR platform, where you can use a worker to establish a connection between the VIKTOR platform and the third-party software (Dynamo, in your case) that runs outside the platform.
Therefore, it should be possible to integrate with a Dynamo Sandbox script that has custom nodes. For more information on creating a VIKTOR app that is integrated with Dynamo Sandbox, refer to the following link:
I hope this helps.
Thank you for the information!
I will have a look and let you know if I have further queries.
This might be a silly question. Concerning the worker connection. When the workflow is published to the cloud, will it be independent of the on-premise Dynamo Sandbox?
That is correct. Your Python project that defines the application will be hosted in the cloud once published, while the worker and third-party software will be running on an external infrastructure, whether that is a server, virtual machine, or your own laptop.
Here is a video that explains workers with an example. Hopefully provides this extra context:
Hello. I have watched most of your videos, including this one.
Just making sure I understand better. Will using a worker not affect the tool’s scalability? Say I want others not within my organization to use it. A VM hosted on a cloud service would probably be a good idea in such a scenario?
Thanks for your answers. I will attempt the upload and revert with other queries.
Scalability is definitely something you as a developer should consider when developing with integrations. Our integrations allow for parallel calculations to run if permitted. The scalability in terms of hardware would then be a bottleneck one should keep an eye on. Your suggestion of a VM for such a case is indeed what we also almost always recommend.