Connect Xperiencify and Sumo Logic to Build Intelligent Automations
Enable Integrations or automations with these events of Xperiencify and Sumo Logic
Enable Integrations or automations with these events of Xperiencify and Sumo Logic
Actions
Add Student to a Course
Add student to a existing course.
Search Student
Retrieve the details of student by its email address.
Update Student Info
Update a student’s details using their email address.
Remove Student From Course
Remove the student from a specific course.
Remove Student From All Course
Remove a student from all courses.
Add Tag to Student
Assign one or more tags to a student.
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Frequently Asked Questions
To start, connect both your Xperiencify and Sumo Logic accounts to viaSocket. Once connected, you can set up a workflow where an event in Xperiencify triggers actions in Sumo Logic (or vice versa).
Absolutely. You can customize how Xperiencify data is recorded in Sumo Logic. This includes choosing which data fields go into which fields of Sumo Logic, setting up custom formats, and filtering out unwanted information.
The data sync between Xperiencify and Sumo Logic 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 Xperiencify and Sumo Logic. 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 Xperiencify
Xperiencify is an online course platform that builds 8 psychological triggers into your course.
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About Sumo Logic
Sumo Logic is a cloud-based machine data analytics platform that provides real-time insights and continuous intelligence across the entire application lifecycle and stack. It helps organizations monitor, troubleshoot, and secure their applications and infrastructure by collecting, analyzing, and visualizing log and metric data.
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