AWS SQS and Shuffler integration

Save yourself the work of writing custom integrations for AWS SQS and Shuffler and use n8n instead. Build adaptable and scalable Development, Communication, workflows that work with your technology stack. All within a building experience you will love.

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How to connect AWS SQS and Shuffler

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own AWS SQS and Shuffler integration

Create custom AWS SQS and Shuffler workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Supported API Endpoints for Shuffler

To set up Shuffler integration, add the HTTP Request node to your workflow canvas and authenticate it using a predefined credential type. This allows you to perform custom operations, without additional authentication setup. The HTTP Request node makes custom API calls to Shuffler to query the data you need using the URLs you provide.

See the example here

Take a look at the Shuffler official documentation to get a full list of all API endpoints

AWS SQS and Shuffler integration details

AWS SQS

Amazon Simple Queue Service (SQS) is a powerful tool that allows you to send, receive and store messages, at any volume, between software components. Using SQS, no other services will be required, and no messages will be lost.

AWS SQS node docs + examples

AWS SQS credential docs

See AWS SQS integrations

Related categories

Development Communication

Shuffler

Shuffler is a platform that offers cloud-based deployment and management of Jupyter notebooks, a popular tool for data analysis and machine learning. It provides collaboration features, version control, and automation for data science teams, simplifying workflow and enhancing productivity in data-related projects.

Shuffler credentials docs

Using predefined credential types

See Shuffler integrations

Related categories

Cybersecurity

Other integrations with AWS SQS

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