I am happily configuring Pipelines, but have stumbled across a problem.
I have been following this article and am using this script to configure the deployment. However, I don't know what the third parameter of the put_object() method is. The Boto docs don't really explain. Can anyone illuminate my mind?
This resource, http://boto3.readthedocs.io/en/latest/reference/services/s3.html#S3.Client.put_object, says that the Key is:
Key (string) -- [REQUIRED] Object key for which the PUT operation was initiated.
And according to, http://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html, an "Object Key" is:
When you create an object, you specify the key name, which uniquely identifies the object in the bucket.
My guess is that:
client.put_object( Body=open(artefact, 'rb'), Bucket=bucket, Key=bucket_key )
is creating data in the S3 bucket specified by 'bucket', with an identifier (or Key) 'bucket_key', and value (or Body) 'artefact'.
I haven't used the boto library for S3, so I cannot confirm this is correct. But, it looks like a good point to continue your investigation.
Bitbucket Pipelines helps me manage and automate a number of serverless deployments to AWS Lambda and this is how I do it. I'm building Node.js Lambda functions using node-lambda ...
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