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| Marketplace | S3 Bucket

S3 Bucket

1.0.0 0
This machine receives input parameters required for S3 authentication, retrieves a file from dependent machine data, and uploads it to the specified S3 bucket. The result is a URL that can be used to access the uploaded file.

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Machine Overview
  • Machine Name : S3 Bucket
  • Title : S3 Bucket
  • Short Description :
    This machine receives input parameters required for S3 authentication, retrieves a file from dependent machine data, and uploads it to the specified S3 bucket. The result is a URL that can be used to access the uploaded file.
  • Detail Description :

    This machine ensures that files generated, processed, or received from dependent machines are securely uploaded to an S3 bucket. The machine is implemented using Python and leverages Boto3, Amazon Web Services’ (AWS) SDK for Python, to communicate with S3.

  • Machine Document : Download
Classification
  • Industry : IT
  • Category : Database
  • Sub Category : -
Compatibility and Dependencies
  • Dependent Machines : -
  • Compatible Machines : -
  • Version : 1.0.0
Specifications
Infrastructure Requirement
  • OS Requirement : Linux
  • CPU : 500m
  • Cloud : AWS
  • RAM : 256Mi
Usage Stats
  • Total OnBoarded : -
  • Active OnBoarding : -
Parameter Name Type Description
Aws Access Key Text Box
Aws Secret Key Text Box
Aws Region Text Box
S3 Bucket Name Text Box

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May 26, 2025

Code update


April 9, 2025

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April 9, 2025

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April 9, 2025

Update in Project file.


March 17, 2025

remove print statement.


March 17, 2025

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February 15, 2025

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If the file upload fails due to issues like incorrect AWS credentials, network failure, or invalid bucket permissions, the machine logs an error message and returns an error response. Users can check the logs for specific error details and troubleshoot by verifying their AWS credentials, IAM permissions, and network connectivity.

Yes! The machine allows specifying a prefix (folder path) for stored files using the s3_object_key_prefix input parameter. For example, if you set s3_object_key_prefix to 'processed-data/' and upload a file named report.csv, it will be stored in S3 as processed-data/report.csv.

After a successful upload, the machine returns the S3 object URL in the response data. You can use this URL to access the uploaded file directly or pass it to another machine in the workflow for further processing. The URL format typically looks like: https://.s3..amazonaws.com/

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Specifications

Updates and Community

Machine Developer

BotCraft Engineers
  • Last Updated
  • February 15, 2025
  • Version
  • 1.0.0
Version History

Statistics

Total Workflows
0
Active Workflows
0
Success Rate
N/A
Last Used in Workflow
N/A

Categories

Database

Support

Average Response Time 8AM-8PM