Connect Backlog and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Backlog
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Backlog and V7 Go
Enable Integrations or automations with these events of Backlog and V7 Go
Actions
Get all Activities
Find all existing activities
Get Space Logo
Returns logo image of your space.
Get Space Notification
Returns space notification.
Get Space Disk Usage
Returns information about space disk usage.
Get all Projects
Find all existing projects
Get all Notifications
Find all existing notifications
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Frequently Asked Questions
To start, connect both your Backlog and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Backlog triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Backlog data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Backlog and V7 Go 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 Backlog and V7 Go. 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 Backlog
Backlog is a comprehensive project management and collaboration tool designed to help teams organize their work, track progress, and collaborate effectively. It offers features such as task management, bug tracking, version control, and Gantt charts to streamline project workflows.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
Learn More
