
When this happens...
Comment Created
Task Created
Task Updated

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a comment is created.
Trigger when task is created.
Trigger when task is created or updated.
Action is the task that follows automatically within your BugHerd integrations.
Create a project in BugHerd.
Add a member to a project.
Add an existing guest to a project, or invite someone by email address.
Update settings for an existing project under your control
Delete a project and all associated data.
Add a new task in a project.

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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 BugHerd and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in BugHerd triggers actions in Databricks (or vice versa).
Absolutely. You can customize how BugHerd data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between BugHerd and Databricks 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 BugHerd and Databricks. 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.
BugHerd is a simple yet powerful web-based bug tracking tool that acts like a sticky note on your website. It allows teams to easily manage feedback and track issues directly on web pages.
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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