
When this happens...
New Group
New Application
New Tenants
New Connections

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
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new group created.
Triggger when a new application is created.
Trigger when a new tenants created.
Trigger when a new connection is created.
Action is the task that follows automatically within your Authress integrations.
Creates a role with permissions.
Specify tenant identity details for tenant tracking, separation, and user management.
Specify users to be included in a new group.
Specify application details for a new application that you own.
Create a new container registry auth
Create a new template.

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To start, connect both your Authress and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Authress triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Authress 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 Authress 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 Authress 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.
Authress is a powerful authentication and authorization platform that provides secure access management solutions for applications. It simplifies the process of managing user identities and permissions, ensuring that only authorized users can access specific resources.
Learn MoreRunPod 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.
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