
When this happens...
File Uploaded
File Is Deleted

Automatically do this!
List Clusters
List Cloud Regions
Create Cluster
Delete Cluster
List Alert Rules
List Projects
When this happensTriggers
A trigger is an event that starts a workflow.
Triggered when a new file is uploaded to Uploadcare.
Runs when file is deleted
Action is the task that follows automatically within your Uploadcare integrations.
Uploads a new file to Uploadcare.
List all the Cluster
List all the Cloud regions in zilliz.
Create a dedicated cluster.
Deletes a Specified Cluster
List all the alert rules

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To start, connect both your Uploadcare and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Uploadcare triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Uploadcare data is recorded in Zilliz. This includes choosing which data fields go into which fields of Zilliz, setting up custom formats, and filtering out unwanted information.
The data sync between Uploadcare and Zilliz 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 Uploadcare and Zilliz. 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.
Uploadcare is a comprehensive file management and delivery platform that provides tools for uploading, processing, and delivering files efficiently. It offers a robust API and a suite of tools to handle file uploads, transformations, and optimizations, making it ideal for developers and businesses looking to streamline their media management processes.
Learn MoreZilliz is a leading provider of vector database solutions, designed to handle large-scale data processing and analytics. It offers advanced capabilities for managing and querying vector data, making it ideal for AI and machine learning applications. Zilliz's platform is optimized for high performance and scalability, enabling businesses to efficiently process and analyze complex datasets.
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