AWS Lambda and Google Cloud Storage integration
Save yourself the work of writing custom integrations for AWS Lambda and Google Cloud Storage and use n8n instead. Build adaptable and scalable Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.
How to connect AWS Lambda and Google Cloud Storage
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: 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.
Step 2: Add and configure AWS Lambda and Google Cloud Storage nodes
You can find AWS Lambda and Google Cloud Storage in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure AWS Lambda and Google Cloud Storage nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect AWS Lambda and Google Cloud Storage
A connection establishes a link between AWS Lambda and Google Cloud Storage (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your AWS Lambda and Google Cloud Storage integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect AWS Lambda and Google Cloud Storage with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your AWS Lambda and Google Cloud Storage workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from AWS Lambda to Google Cloud Storage or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Build your own AWS Lambda and Google Cloud Storage integration
Create custom AWS Lambda and Google Cloud Storage 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.
AWS Lambda and Google Cloud Storage integration details
FAQs
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