Connect Codefresh and JJ_TESTING to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Choose an Action
Automatically do this!
- Request a new Action for JJ_TESTING
Enable Integrations or automations with these events of Codefresh and JJ_TESTING
Enable Integrations or automations with these events of Codefresh and JJ_TESTING
Triggers
New Project
Triggers when a new project is created in scheduled time.
Actions
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).
Search Project
Search projects with filters.
Delete a Project
Deletes a project.
List Build
Retrieve a paginated list of workflow builds, optionally filtered by status, pipeline, git provider/repo, trigger reason, and date range.
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Frequently Asked Questions
To start, connect both your Codefresh and JJ_TESTING accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in JJ_TESTING (or vice versa).
Absolutely. You can customize how Codefresh data is recorded in JJ_TESTING. This includes choosing which data fields go into which fields of JJ_TESTING, setting up custom formats, and filtering out unwanted information.
The data sync between Codefresh and JJ_TESTING 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 JJ_TESTING. 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.
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