Connect Sentry and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
Project Organization New Members
New Project
Organization New Repositories
Get Active Issue Alerts
Get Organization Metric Alerts
List Organization Replays
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Sentry and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Sentry and Coursera: Data Science Specialization
Triggers
Project Organization New Members
Triggers list of active organization members that belong to any team assigned to the project.
New Project
Return a list of projects created in given scheduled time.
Organization New Repositories
Return a list of repositories for a given organization.
Get Active Issue Alerts
Fetches all active issue alert rules for a project in Sentry.
Get Organization Metric Alerts
Fetches all active metric alert rules for your organization.
List Organization Replays
Fetches and lists all replays associated with your organization.
Actions
Create a New Team
Create a new team bound to an organization.
Create a New Project
Create a new project bound to a team.
Add a Team to a Project
Give a team access to a project.
Update a Project
Update a Project Name.
Delete a Project
Deletes a project.
Delete a Team from a Project
Revoke a team's access to a project.
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Frequently Asked Questions
To start, connect both your Sentry and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Sentry triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Sentry data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Sentry and Coursera: Data Science Specialization 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 Coursera: Data Science Specialization. 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 Sentry
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 MoreAbout Coursera: Data Science Specialization
Master the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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