Connect PostgreSQL and Codefresh to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
Create Project
Search Project
Delete a Project
Ready to use PostgreSQL and Codefresh automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
New Project
Triggers when a new project is created in scheduled time.
Do thisActions
Action is the task that follows automatically within your PostgreSQL integrations.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
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 PostgreSQL and Codefresh accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Codefresh (or vice versa).
Absolutely. You can customize how PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 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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