Connect DevCycle and DataRobot to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for DevCycle
Choose an Action
Automatically do this!
- Request a new Action for DataRobot
Enable Integrations or automations with these events of DevCycle and DataRobot
Enable Integrations or automations with these events of DevCycle and DataRobot
Actions
Get All Environments
Lists all the environments of a project.
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Frequently Asked Questions
To start, connect both your DevCycle and DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in DevCycle triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how DevCycle data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between DevCycle and DataRobot 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 DevCycle and DataRobot. 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 DevCycle
DevCycle is a comprehensive platform designed to streamline and enhance the software development process. It offers tools and features that facilitate efficient project management, collaboration, and deployment, making it an essential resource for development teams looking to optimize their workflows and deliver high-quality software products.
Learn MoreAbout DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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