
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 MYSQL and RunPod
Find row(s) via a lookup column.
You can select, create, update or delete row(s) of table via custom SQL query.
Adds a new row into the table.
Update any existing row in the given table.
Deletes row from a table.
this is only for testing purpose
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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 MYSQL and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in MYSQL triggers actions in RunPod (or vice versa).
Absolutely. You can customize how MYSQL 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 MYSQL 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 MYSQL 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.
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
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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