Connect Maestra and Redis to Build Intelligent Automations

Choose a Trigger

Maestra

When this happens...

Choose an Action

Redis

Automatically do this!

Enable Integrations or automations with these events of Maestra and Redis

Enable Integrations or automations with these events of Maestra and Redis

Actions

Create Channel

Create Channel

Create a new channel within a workspace

Upload File

Upload File

Initiates a new file upload to Maestra.

List Files

List Files

Grabs the file list with key id and basic information.

Request a new Action for Maestra

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Frequently Asked Questions

How do I start an integration between Maestra and Redis?

To start, connect both your Maestra and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Maestra triggers actions in Redis (or vice versa).

Can we customize how data from Maestra is recorded in Redis?

Absolutely. You can customize how Maestra data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Maestra and Redis?

The data sync between Maestra and Redis typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Maestra to Redis?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Maestra and Redis?

Yes, you can set conditional logic to control the flow of data between Maestra and Redis. 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.

Maestra

About Maestra

Maestra is a highly accurate speech to text software. Translate in English, French, Spanish, German and 80+ languages.

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Redis

About Redis

Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.

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