Connect DevCycle and kazm to Build Intelligent Automations

Choose a Trigger

DevCycle

When this happens...

Choose an Action

kazm

Automatically do this!

Enable Integrations or automations with these events of DevCycle and kazm

Enable Integrations or automations with these events of DevCycle and kazm

Actions

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Lists all the environments of a project.

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Frequently Asked Questions

How do I start an integration between DevCycle and kazm?

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

Can we customize how data from DevCycle is recorded in kazm?

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

How often does the data sync between DevCycle and kazm?

The data sync between DevCycle and kazm 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 DevCycle to kazm?

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 DevCycle and kazm?

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

DevCycle

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.

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kazm

About kazm

Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.

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