
When this happens...
New Incident Instant
New Incident acknowledged
Incident Annotated
Incident Escalated

Automatically do this!
List Training Projects
Create Secret
List All Secrets
List All Teams
Create Training Project
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when new incidents are created.
Triggers when new incidents are acknowledged.
Triggers when an incident is annotated, meaning additional notes or comments are added to an existing incident.
Triggers when an incident is escalated.
Action is the task that follows automatically within your PagerDuty integrations.
Create a Business Service in PagerDuty.
This action Install an Add-on for your account.
This action delete an add-on.
This action update an add - on.
List all training projects
Store a named secret value.

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To start, connect both your PagerDuty and Baseten accounts to viaSocket. Once connected, you can set up a workflow where an event in PagerDuty triggers actions in Baseten (or vice versa).
Absolutely. You can customize how PagerDuty data is recorded in Baseten. This includes choosing which data fields go into which fields of Baseten, setting up custom formats, and filtering out unwanted information.
The data sync between PagerDuty and Baseten 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 PagerDuty and Baseten. 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.
agerDuty is a digital operations management platform that empowers teams to manage and resolve incidents efficiently, ensuring high availability and performance.
Learn MoreBaseten is a platform that empowers developers to build, deploy, and manage machine learning models with ease. It provides tools for integrating AI capabilities into applications, streamlining the process from model creation to deployment.
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