Enable Integrations or automations with these events of Neo4j and LaunchDarkly
Triggers when a project is delete.
Trigger when a new project is created in Organization.
Triggers when a project name is updated.
Triggers when tags are updated in a project.
Triggers when update the project flag default.
Triggers when role is created.
This action creates new project.
This action deletes a project.
This action invite new member.
This action deletes an account member.
This action create new environment.
Deletes an environment.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Neo4j and LaunchDarkly accounts to viaSocket. Once connected, you can set up a workflow where an event in Neo4j triggers actions in LaunchDarkly (or vice versa).
Absolutely. You can customize how Neo4j data is recorded in LaunchDarkly. This includes choosing which data fields go into which fields of LaunchDarkly, setting up custom formats, and filtering out unwanted information.
The data sync between Neo4j and LaunchDarkly 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 Neo4j and LaunchDarkly. 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.
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
Learn MoreLaunch Darkly is a feature management platform that allows development teams to innovate faster by managing feature flags at scale. It enables teams to deploy code at any time, even if a feature isn't ready to be released to all users, and to control who sees which features, reducing risk and increasing efficiency.
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