Connect Tny and RunPod to Build Intelligent Automations
Enable Integrations or automations with these events of Tny and RunPod
Enable Integrations or automations with these events of Tny and RunPod
Actions
Shorten URL
Generate a Tny shortened link from a provided long URL and return the short URL.
Unshorten URL
Unshortens a URL. Follows all redirects and returns the final destination of a URL.
Create a Container Registry
Create a new container registry auth
Create a Template
Create a new template.
Find a Container Registry Auth
Get a single container registry auth
Delete a Container Registry Auth
Delete a single container registry auth
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Frequently Asked Questions
To start, connect both your Tny and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Tny triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Tny 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 Tny 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 Tny 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 Tny
Tny is a powerful URL shortening service designed to simplify link management and enhance online marketing strategies. With Tny, users can easily create, share, and track shortened URLs, making it an essential tool for digital marketers and businesses looking to optimize their online presence.
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.
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