Connect Codefresh and spark to Build Intelligent Automations

Choose a Trigger

Codefresh

When this happens...

Choose an Action

spark

Automatically do this!

Enable Integrations or automations with these events of Codefresh and spark

Enable Integrations or automations with these events of Codefresh and spark

Triggers

New Project

New Project

Triggers when a new project is created in scheduled time.

Request a new Trigger for Codefresh

Actions

Create Project

Create Project

Creates a new project.

Create Teams

Create Teams

Create a new Codefresh team, add specified users, and apply optional tags.

Create Annotaions

Create Annotaions

Add an annotation to a Codefresh entity (pipeline, build, or deployment).

Search Project

Search Project

Search projects with filters.

Delete a Project

Delete a Project

Deletes a project.

List Build

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

How do I start an integration between Codefresh and spark?

To start, connect both your Codefresh and spark accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in spark (or vice versa).

Can we customize how data from Codefresh is recorded in spark?

Absolutely. You can customize how Codefresh data is recorded in spark. This includes choosing which data fields go into which fields of spark, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Codefresh and spark?

The data sync between Codefresh and spark typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Codefresh to spark?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Codefresh and spark?

Yes, you can set conditional logic to control the flow of data between Codefresh and spark. 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.

Codefresh

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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spark

About spark

Spark is a modern Medicare brokerage platform to manage the full lifecycle of a client from quoting to post-enrollment support.

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