
When this happens...
Project Organization New Members
New Project
Organization New Repositories
Get Active Issue Alerts
Get Organization Metric Alerts
List Organization Replays

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers list of active organization members that belong to any team assigned to the project.
Return a list of projects created in given scheduled time.
Return a list of repositories for a given organization.
Fetches all active issue alert rules for a project in Sentry.
Fetches all active metric alert rules for your organization.
Fetches and lists all replays associated with your organization.
Action is the task that follows automatically within your Sentry integrations.
Create a new team bound to an organization.
Create a new project bound to a team.
Give a team access to a project.
Update a Project Name.
Deletes a project.
Revoke a team's access to a project.

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To start, connect both your Sentry and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Sentry triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Sentry 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 Sentry 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 Sentry 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.
Sentry is a powerful error tracking and performance monitoring tool designed for developers to identify and fix issues in real-time. It provides detailed insights into application errors, performance bottlenecks, and user impact, enabling teams to enhance their software's reliability and user experience.
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.
Learn More