Connect RunPod and Placker to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Card Created
Triggers when card is created in a specipic board.
Card Status Changed
Triggers when card status is changed in a specipic board.
Card Archived
Triggers when card is archived in a specipic board.
Card Unarchived
Triggers when card is unarchived in a specipic board.
Card Removed
Triggers when card is removed in a specipic board.
Comment Added to Card
Triggers when comment is added to card in a specipic board.
Do thisActions
Action is the task that follows automatically within your RunPod integrations.
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
Delete a Template
Delete a single template by its id.
Create Registry Authentication
Create Registry Authenticationin Runpod
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Frequently Asked Questions
To start, connect both your RunPod and Placker accounts to viaSocket. Once connected, you can set up a workflow where an event in RunPod triggers actions in Placker (or vice versa).
Absolutely. You can customize how RunPod data is recorded in Placker. This includes choosing which data fields go into which fields of Placker, setting up custom formats, and filtering out unwanted information.
The data sync between RunPod and Placker 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 RunPod and Placker. 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 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 MoreAbout Placker
Placker provides planning and tracking tools to save time, avoid mistakes and get work done.
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