Connect Ganttic and RunPod to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Ganttic
Choose an Action
Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
Enable Integrations or automations with these events of Ganttic and RunPod
Enable Integrations or automations with these events of Ganttic and RunPod
Actions
List All Users
Retrieves the list of all users
Create Task
Creates a new task.
Create Resource
Creates a new resource.
Create Project
Creates a new project.
Get All Projects
Gets a list of your projects, with an option to filter by project title.
List All Resources
Retrieves the list of all resources
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Frequently Asked Questions
To start, connect both your Ganttic and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Ganttic triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Ganttic data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between Ganttic and RunPod typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Ganttic and RunPod. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Ganttic
Ganttic is an online resource planning software, that you can use for managing project portfolios while planning resources with maximum efficiency. You can create clear and comprehensive visual plans that give you an instant overview of all your resources and projects.
Learn MoreAbout RunPod
RunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
Learn More
