
When this happens...

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 TRIPLOG and RunPod
Get an existing state mileage.
Search a Receipts.
List all Trips corresponding to email.
Creates a User.
Create a new container registry auth
Create a new template.
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Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your TRIPLOG and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in TRIPLOG triggers actions in RunPod (or vice versa).
Absolutely. You can customize how TRIPLOG 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 TRIPLOG 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 TRIPLOG 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.
TripLog is a comprehensive mileage tracking and expense management solution designed to help businesses and individuals efficiently manage their travel expenses. With features like automatic mileage tracking, expense reporting, and integration with accounting software, TripLog simplifies the process of tracking and managing travel-related costs.
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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