Connect Codefresh and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Ready to use Codefresh and Databricks 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 Codefresh integrations.
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 Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Codefresh data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Codefresh and Databricks 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 Databricks. 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 Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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