![]() ![]() If any incorrect credentials are specified early on, these credentials are used. ![]() This means that Boto3 looks in multiple locations for credentials in a specific order. If requests are coming from the same source, is SDK using the intended credentials? For example, if you use AWS SDK for Python (Boto3), the SDK allows you to configure credentials using multiple methods.Are the CLI and SDK requests to S3 coming from the same source? That is, check if the requests are from the same Amazon Elastic Compute Cloud (Amazon EC2) instance.If the credentials used by the CLI and the AWS SDK are the same, then continue to troubleshoot by asking these questions: Troubleshoot AWS CLI and SDK requests to Amazon S3 If the AWS CLI and the AWS SDK use different credentials, then use the AWS SDK with the credentials that are stored on the AWS CLI. For example, if you're using AWS SDK for Python (Boto3), run get_caller_identity. To get the credentials configured on the AWS SDK that you're using, run a GetCallerIdentity call using your AWS Security Token Service (AWS STS) client. If you're using an AWS Identity and Access Management (IAM) role associated with the AWS CLI, run this command to get the role: aws sts get-caller-identity To get the credentials configured on AWS CLI, run this command: aws iam list-access-keys Verify your AWS CLI and the AWS SDK credentialsįirst, check that the AWS CLI and the AWS SDK that you're using are configured with the same credentials. Note: If you receive errors when running AWS CLI commands, make sure that you’re using the most recent version of the AWS CLI.
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