Connect Blink and Microsoft Azure Functions to Build Intelligent Automations
Enable Integrations or automations with these events of Blink and Microsoft Azure Functions
Enable Integrations or automations with these events of Blink and Microsoft Azure Functions
Actions
List users
Get a list of users
List domains
Get list of existing domains
Get domain by id
Get a domain detail by its id
Get domain by domain name
Get a domain detail by its name
Delete domain
Deletes a domain and all its links.
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Frequently Asked Questions
To start, connect both your Blink and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Blink triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Blink 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 Blink 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 Blink 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 Blink
"Blink" is a swift URL shortener app enabling personalized, trackable links for efficient sharing across platforms, backed by robust security measures. Simplify your link sharing experience with Blink today.
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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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