How to Configure Environment Variables for AWS S3
Updated
To configure AWS S3 environment variables in Sketchflow.ai, you may need to prepare and provide the following variables within the platform:
- AWS_ACCAWS_ACCESS_KEY_IDESS_KEY_ID
- AWS_SECRET_ACCESS_KEY
- S3_BUCKET
- S3_ENDPOINT
- S3_REGION
Note: The variables required for each deployment are generated dynamically based on your project's specific requirements and are not fixed. The variables shown above are only common examples.
Access keys are long-term credentials for an IAM user or the AWS accounty root user. You can user access keys to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK), refer to the AWS official user guide.
Need help finding your AWS credentials?
If you haven't configured AWS before, follow the official AWS guides:
- "Create an IAM access key"
- "Configure AWS environment variables"
- "Getting Started with AWS: Deploying a Web Application"
For Amazon S3 variables:
- S3_BUCKET: Learn from "Create and manage an Amazon S3 bucket"
- S3_REGION: Learn from "Find the Region of your Amazon S3 bucket"
- S3_ENDPOINT: Learn from "Amazon S3 service endpoints by Region"