![]() Imagine that your app’s user logged into an account on someone else’s computer and accessed his S3 assets there. It is essential to make the validity period as short as possible. Security credentials never leave the server, our bucket is private and URLs we share are only issued to authenticated clients and valid for a short period of time. Files are not transferred through our servers so bandwidth and even the slowest mobile clients are not a problem. The method handles large files by splitting them into smaller chunks and uploading each chunk in parallel. The uploadfile method accepts a file name, a bucket name, and an object name. This solution is optimal in terms of security and performance. Uploading files¶ The AWS SDK for Python provides a pair of methods to upload a file to an S3 bucket. remember to parse the JSON from raw cURL command result, otherwise, the URL will not validate correctly with AWS API. Similarly, you can retrieve a download URL from a show action: curl -v and use it to download the desired asset directly from a bucket: curl -v = -1524413827&X-Amz-Date =20180422T161712Z&X-Amz-Algorithm =AWS4-HMAC-SHA256&X-Amz-Credential =AKIAJEVNLXOPYWMLYCXQ/20180422/us-east-1/s3/aws4_request&X-Amz-SignedHeaders =host&X-Amz-Signature =6f56782d7f89d3019c90946bcc6e2b150fe491df364b96dff46366e33cf5ed72 Client-side must be programmed to access the URL right after receiving it from the server. What’s important is that this upload URL will only be valid for a specified TIME_TO_ACCESS period. It will return an URL which you can use to upload a file with a given filename: curl -v -upload-file. To upload a file you have to do the following: curl -v \?filename \=test_file ![]() Long story short to follow the rest of this tutorial you should grant your user the following policy: end private def client ||= Fog :: Storage :: AWS. You can read more in detail how to do it in my other blog post. You have to start by adding an IAM user and giving it a correct access policy. Losing credentials with S3 permissions only is much less severe. Create an S3 bucket called pdf-service-bucket to store our PDFs Create a function that will create the PDFs Give our function access to the S3 bucket Setup an API endpoint for our Lambda function at: POST Here is the full serverless.yml configuration. If your primary credentials are compromised you could wake up with a huge bill because of Bitcoin mining bots. One common mistake is to use your primary user credentials instead of creating an IAM user with limited permissions. You will need Amazon AWS credentials to start working with file uploads. This is the eBook that I wish existed when I was first tasked with moving the Heroku database to AWS as a developer with limited dev ops experience.
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