
When this happens...
New Creation
Updated Creation

Automatically do this!
Enable Integrations or automations with these events of Starryai and Microsoft Azure Functions
Triggered when a new creation is created.
Triggered when an existing creation is updated.
Creates a new creation.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Starryai and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Starryai triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Starryai 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 Starryai 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 Starryai 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.
StarryAI is an AI-powered platform that enables users to create stunning artwork and designs effortlessly. By leveraging advanced artificial intelligence algorithms, StarryAI allows artists, designers, and creative enthusiasts to generate unique and high-quality visuals with ease. Whether you're a professional designer or a hobbyist, StarryAI provides the tools to bring your creative visions to life.
Learn MoreMicrosoft 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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