Connect Totango and Microsoft Azure Functions to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Totango
Choose an Action
Automatically do this!
- Request a new Action for Microsoft Azure Functions
Enable Integrations or automations with these events of Totango and Microsoft Azure Functions
Enable Integrations or automations with these events of Totango and Microsoft Azure Functions
Actions
Get User
Get details of user account
List Events
Get all the events form totango.
List Touchpoint Type
Get all the touchpoint type form totango.
List Touchpoint Tags
Get all the touchpoint tags form totango.
List Activity Types
Get all the Activity Types form totango.
List Teams
Get all the teams form totango.
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Frequently Asked Questions
To start, connect both your Totango and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Totango triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Totango data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between Totango and Microsoft Azure Functions 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 Totango and Microsoft Azure Functions. 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 Microsoft Azure Functions
Microsoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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