Connect Looker Studio (Google Data Studio) and Codefresh to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Looker Studio (Google Data Studio)
Choose an Action
Automatically do this!
Create Project
Create Teams
Create Annotaions
Search Project
Delete a Project
List Build
Create Execution Context
Create Agent
Ready to use Looker Studio (Google Data Studio) and Codefresh automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Project
Triggers when a new project is created in scheduled time.
Do thisActions
Action is the task that follows automatically within your Looker Studio (Google Data Studio) integrations.
Search Asset
Search a user's Looker Studio assets.
List Asset Permissions
Retrieves a list of permissions for a given Looker Studio asset.
Add members to Looker Studio asset
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.
Create Project
Creates a new project.
Create Teams
Create a new Codefresh team, add specified users, and apply optional tags.
Create Annotaions
Add an annotation to a Codefresh entity (pipeline, build, or deployment).
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Frequently Asked Questions
To start, connect both your Looker Studio (Google Data Studio) and Codefresh accounts to viaSocket. Once connected, you can set up a workflow where an event in Looker Studio (Google Data Studio) triggers actions in Codefresh (or vice versa).
Absolutely. You can customize how Looker Studio (Google Data Studio) data is recorded in Codefresh. This includes choosing which data fields go into which fields of Codefresh, setting up custom formats, and filtering out unwanted information.
The data sync between Looker Studio (Google Data Studio) and Codefresh 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 Looker Studio (Google Data Studio) and Codefresh. 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 Looker Studio (Google Data Studio)
Looker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
Learn MoreAbout 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 More
