Connect Codefresh and Data Studio to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Choose an Action
Automatically do this!
- Request a new Action for Data Studio
Enable Integrations or automations with these events of Codefresh and Data Studio
Enable Integrations or automations with these events of Codefresh and Data Studio
Triggers
New Project
Triggers when a new project is created in scheduled time.
Actions
Create Project
Creates a new project.
Search Project
Search projects with filters.
Delete a Project
Deletes a project.
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Frequently Asked Questions
To start, connect both your Codefresh and Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in Data Studio (or vice versa).
Absolutely. You can customize how Codefresh data is recorded in Data Studio. This includes choosing which data fields go into which fields of Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Codefresh and Data Studio 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 Codefresh and Data Studio. 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 Codefresh
Codefresh is a modern DevOps platform that streamlines software development and delivery. It offers powerful CI/CD tools to help developers build, test, and deploy applications efficiently, simplifying complex workflows for teams aiming to enhance their DevOps practices.
Learn MoreAbout Data Studio
Data Studio is a powerful tool by Google that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It is designed to help businesses and individuals visualize their data in a way that is both meaningful and actionable.
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